Publication

@article{Filho2022,

title = {An overview of the interactions between food production and climate change},

author = {Walter Leal Filho and Andréia Faraoni Freitas Setti and Ulisses M Azeiteiro and Erandathie Lokupitiya and Felix Kwabena Donkor and NseAbasi NsikakAbasi Etim and Newton Matandirotya and Felicia Motunrayo Olooto and Ayyoob Sharifi and Gustavo J Nagy and Ilija Djekic},

url = {https://www.sciencedirect.com/science/article/pii/S0048969722035355},

doi = {https://doi.org/10.1016/j.scitotenv.2022.156438},

issn = {0048-9697},

year  = {2022},

date = {2022-01-01},

journal = {Science of The Total Environment},

volume = {838},

pages = {156438},

abstract = {This paper provides an overview of how food production influences climate change and also illustrates the impact of climate change on food production. To perform such an overview, the (inter)link between different parts of the food supply chain continuum (agriculture production, livestock farming, food processing, food transport and storing, retail food, and disposal of food waste) and climate change has been investigated through a bibliometric analysis. Besides UN Sustainable Development Goal (SDG) 13, associated with climate change, other SDGs that are associated with this overview are goals #1, #2, #3, #6, #7, #12, and #15. Based on the evidence gathered, the paper provides some recommendations that may assist in efforts to reduce the climate-related impacts of food production.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yoshioka2022,

title = {Empirical models of consumer and merchant behavior in the two-sided market of local currency},

author = {Taisei Yoshioka and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.sciencedirect.com/science/article/pii/S2185556021000195},

doi = {https://doi.org/10.1016/j.eastsj.2021.100051},

issn = {2185-5560},

year  = {2022},

date = {2022-01-01},

journal = {Asian Transport Studies},

volume = {8},

pages = {100051},

abstract = {Local currency is one options for revitalization of local regions. In this study, we model consumer and merchant behavior in the two-sided market of local currency where, inter-side and intra-side interactions among consumers and merchants are considered. For the consumer side, we model whether they use local currency and if so, how much money they exchange. For the merchant side, we model whether they accept local currency payment. Empirical models were developed using stated preference survey data collected in four cities of Hiroshima Prefecture. Empirical results showed that inter-side interactions between consumers and merchants significantly affect the behaviors of both. We also found that consumers’ intra-side interaction and their level of place attachment significantly affects the behavior of consumers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yukiko2022,

title = {Direct Attachment with Erythrocytes Augments Extracellular Growth of Pathogenic Mycobacteria},

author = {Nishiuchi Yukiko and Tateishi Yoshitaka and Hirano Hiroshi and Ozeki Yuriko and Yamaguchi Takehiro and Miki Mari and Kitada Seigo and Maruyama Fumito and Matsumoto Sohkichi and Realegeno Susan},

url = {https://doi.org/10.1128/spectrum.02454-21},

doi = {10.1128/spectrum.02454-21},

year  = {2022},

date = {2022-01-01},

journal = {Microbiology Spectrum},

volume = {10},

issue = {2},

pages = {e02454-21},

publisher = {American Society for Microbiology},

note = {doi: 10.1128/spectrum.02454-21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yarimizu2022,

title = {The effect of iron on Chilean Alexandrium catenella growth and paralytic shellfish toxin production as related to algal blooms},

author = {Kyoko Yarimizu and Jorge I Mardones and Javier Paredes-Mella and Luis Norambuena-Subiabre and Carl J Carrano and Fumito Maruyama},

url = {https://doi.org/10.1007/s10534-021-00349-2},

doi = {10.1007/s10534-021-00349-2},

issn = {1572-8773},

year  = {2022},

date = {2022-01-01},

journal = {BioMetals},

volume = {35},

issue = {1},

pages = {39-51},

abstract = {The dinoflagellate Alexandrium catenella is a well-known paralytic shellfish toxin producer that forms harmful algal blooms (HABs) worldwide. Blooms of this species have repeatedly brought severe ecological and economic impacts to Chile, especially in the southern region, where the shellfish and salmon industries are world-famous. The mechanisms of such HABs have been intensively studied but are still unclear. Nutrient overloading is one of the often-discussed drivers for HABs. The present study used the A. catenella strain isolated from southern Chile to investigate how iron conditions could affect their growth and toxin production as related to HAB. Our results showed that an optimum concentration of iron was pivotal for proper A. catenella growth. Thus, while excess iron exerted a toxic effect, low iron media led to iron insufficiency and growth inhibition. In addition, the study shows that the degree of paralytic shellfish toxin production by A. catenella varied depending on the iron concentration in the culture media. The A. catenella strain from southern Chile produced GTX1-4 exclusively in the fmol cell−1 scale. Based on these findings, we suggest that including iron and paralytic shellfish toxin measurements in the fields can improve the current HAB monitoring and contribute to an understanding of A. catenella bloom dynamics in Chile.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ladi2022,

title = {Applications of machine learning and deep learning methods for climate change mitigation and adaptation},

author = {Tahmineh Ladi and Shaghayegh Jabalameli and Ayyoob Sharifi},

url = {https://doi.org/10.1177/23998083221085281},

doi = {10.1177/23998083221085281},

issn = {2399-8083},

year  = {2022},

date = {2022-01-01},

journal = {Environment and Planning B: Urban Analytics and City Science},

volume = {49},

issue = {4},

pages = {1314-1330},

publisher = {SAGE Publications Ltd STM},

abstract = {Climate change is a global issue that must be considered and addressed immediately. Many articles have been published on climate change mitigation and adaptation. However, new methods are required to explore the complexities of climate change and provide more efficient and effective adaptation and mitigation policies. With the advancement of technology, machine learning (ML) and deep learning (DL) methods have gained considerable popularity in many fields, including climate change. This paper aims to explore the most popular ML and DL methods that have been applied for climate change mitigation and adaptation. Another aim is to determine the most common mitigation and adaptation measures/actions in general, and in urban areas in particular, that have been studied using ML and DL methods. For this purpose, word frequency analysis and topic modeling, specifically the Latent Dirichlet allocation (LDA) as a ML algorithm, are used in this study. The results indicate that the most popular ML technique in both climate change mitigation and adaptation is the Artificial Neural Network. Moreover, among different research areas related to climate change mitigation and adaptation, geoengineering, and land surface temperature are the ones that have used ML and DL algorithms the most.},

note = {doi: 10.1177/23998083221085281},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Omarzadeh2022,

title = {A GIS-based multiple ecotourism sustainability assessment of West Azerbaijan province, Iran},

author = {Davoud Omarzadeh and Samereh Pourmoradian and Bakhtiar Feizizadeh and Hoda Khallaghi and Ayyoob Sharifi and Khalil Valizadeh Kamran},

url = {https://doi.org/10.1080/09640568.2021.1887827},

doi = {10.1080/09640568.2021.1887827},

issn = {0964-0568},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Environmental Planning and Management},

volume = {65},

issue = {3},

pages = {490-513},

publisher = {Routledge},

note = {doi: 10.1080/09640568.2021.1887827},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Torabi2022,

title = {Sanctions and second home tourism: the experience of rural areas in Shemiranat, Iran},

author = {Zabih-allah Torabi and C Michael Hall and Zaheer Allam and Zahed Ghaderi and Ayyoob Sharifi},

url = {https://doi.org/10.1080/19407963.2022.2071282},

doi = {10.1080/19407963.2022.2071282},

issn = {1940-7963},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Policy Research in Tourism, Leisure and Events},

pages = {1-20},

publisher = {Routledge},

note = {doi: 10.1080/19407963.2022.2071282},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Feizizadeh2022b,

title = {An integrated approach of artificial intelligence and geoinformation techniques applied to forest fire risk modeling in Gachsaran, Iran},

author = {Bakhtiar Feizizadeh and Davoud Omarzadeh and Vahid Mohammadnejad and Hoda Khallaghi and Ayyoob Sharifi and Bahaoldein Golmohmadzadeh Karkarg},

url = {https://doi.org/10.1080/09640568.2022.2027747},

doi = {10.1080/09640568.2022.2027747},

issn = {0964-0568},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Environmental Planning and Management},

pages = {1-23},

publisher = {Routledge},

note = {doi: 10.1080/09640568.2022.2027747},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{He2022,

title = {Perception, physiological and psychological impacts, adaptive awareness and knowledge, and climate justice under urban heat: A study in extremely hot-humid Chongqing, China},

author = {Bao-Jie He and Dongxue Zhao and Xin Dong and Ke Xiong and Chi Feng and Qianlong Qi and Amos Darko and Ayyoob Sharifi and Minal Pathak},

url = {https://www.sciencedirect.com/science/article/pii/S2210670722000191},

doi = {https://doi.org/10.1016/j.scs.2022.103685},

issn = {2210-6707},

year  = {2022},

date = {2022-01-01},

journal = {Sustainable Cities and Society},

volume = {79},

pages = {103685},

abstract = {Urban heat, the combined effect of heatwaves and urban heat islands (UHIs), is a severe challenge for many cities around the world. While there have been numerous studies on urban heat, society's understanding of it is still insufficient, hindering its mitigation and adaptation. This paper aims to investigate people's vulnerability to, and perception, awareness and knowledge of, urban heat. A questionnaire survey was conducted with 562 respondents in the hot and humid city of Chongqing, China in the summer of 2020. Data were analysed using descriptive statistics, Mann-Whitney U test, Kruskal-Wallis H test and logistic regression. Results indicated that urban heat is generally understood as having a moderate severity, while there is limited knowledge of heat-related risks. The perceived heat-related psychological impacts are more severe than physiological impacts. There is limited awareness and knowledge of heat-impact reduction methods. Nevertheless, people's awareness, perception and knowledge of urban heat increase once they suffer heat-induced impacts, indicating exposure/experience-driven awareness and knowledge. Moreover, climate injustice among different groups (e.g. gender, age, education, income, health) of people related to heat challenges was identified. People's perception, vulnerability, awareness and knowledge increased with age, but interestingly decreased with increasing education level and improved health conditions. Economic factor was not critical to heat-related responses. Men could be more vulnerable to physiological symptoms and daily functioning than women. The results of this study provide an understanding of urban heat perception and adaptive knowledge, enabling practitioners and policy makers to formulate effective urban heat mitigation and adaptation policies and regulations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hejazi2022,

title = {Assessment of social vulnerability in areas exposed to multiple hazards: A case study of the Khuzestan Province, Iran},

author = {Seyed Jafar Hejazi and Ayyoob Sharifi and Mahmoud Arvin},

url = {https://www.sciencedirect.com/science/article/pii/S2212420922003466},

doi = {https://doi.org/10.1016/j.ijdrr.2022.103127},

issn = {2212-4209},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Disaster Risk Reduction},

volume = {78},

pages = {103127},

abstract = {The inability of a system to plan for, respond to, and adapt to hazards and unfavorable occurrences can lead to social vulnerability. Managers and planners can use social vulnerability assessment to optimize budget allocation, devise mitigation measures, and prepare for disasters. The purpose of this study was to determine the social vulnerability to natural disasters in the counties in Khuzestan Province (southwest Iran). This was accomplished by using geographic information system (GIS) methods and multi-criteria decision-making procedures. Data on the vulnerability to four distinct types of hazards (floods, earthquakes, landslides, and dust storms) were gathered, and the counties were ranked using fifteen social vulnerability indicators. The findings indicated that earthquakes and landslides have had the greatest impact on the vulnerability of the northern and northeastern counties in the province. Floods and dust storms have a greater impact on central, western, and southern counties. Western and eastern counties have the highest levels of social vulnerability, while southern counties have the lowest. The findings can be applied to establish plans for reducing social vulnerability and strengthening resilience in the province. Additionally, the methodology employed in the research project can be used to analyze social vulnerability in other countries with similar situations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Murakami2022,

title = {Changes in the carbon mitigation responsibility of Japan's capital city, Tokyo – analysis of power supply shocks due to nuclear power plant accidents},

author = {Kae Murakami and Shinji Kaneko and Masaru Ichihashi and Ayyoob Sharifi},

url = {https://www.sciencedirect.com/science/article/pii/S2212095522001390},

doi = {https://doi.org/10.1016/j.uclim.2022.101221},

issn = {2212-0955},

year  = {2022},

date = {2022-01-01},

journal = {Urban Climate},

volume = {44},

pages = {101221},

abstract = {Tokyo is the capital of Japan and the hub of the country's economic and administrative activities. To maintain the momentum of sustained economic growth, Tokyo is transforming the structure of its economic activities, production efficiency, and consumption patterns. Consequently, the supply and demand structure of energy and material in the city has been changing over time with a dramatic increase in the external dependency of supply. In particular, Tokyo depends on the supply of the Tokyo Electric Power Company (TEPCO), which has power plants outside of Tokyo's boundaries. However, TEPCO suspended its nuclear power plants for inspection purposes in 2003. Kashiwazaki-Kariwa Nuclear Power Plant was suspended following Niigata Prefecture Chuetsu-oki Earthquake in 2007; the Fukushima Nuclear Power Plant (the first and second power plants) was suspended following the Great East Japan Earthquake in 2011. In this study, we analyze the changes in the carbon mitigation responsibility of Tokyo, the capital of Japan, after the electricity supply shock caused by the nuclear power plant accident and examine how dependence on electricity supply affects CO2 emissions. We compare CO2 emissions in terms of 1) the changes in Tokyo's electricity supply, 2) the long-term changes in the local economy (flows of goods and services) in 1990, 1995, 2000, 2005, 2011, and 2015, and 3) different carbon accounting methods applied to consumption-based emissions. In this study, we have adopted a method that is based on four system boundaries to identify and compare per capita CO2 emissions from 1990 to 2015 using data from Tokyo's statistical data. Results show that although CO2 emissions associated with Tokyo's electricity consumption fluctuated significantly due to the suspension of the nuclear power plant, there was no significant change in Tokyo's consumption-based emissions. Since Tokyo's consumption structure has remained steady despite these major changes in electricity supply, we assume that Tokyo's emission responsibility will not change unless there is a major switch to lower carbon goods and services consumed in the city.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Feizizadeh2022c,

title = {Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran},

author = {Bakhtiar Feizizadeh and Tobia Lakes and Davoud Omarzadeh and Ayyoob Sharifi and Thomas Blaschke and Sadra Karimzadeh},

url = {https://doi.org/10.1038/s41598-022-10159-2},

doi = {10.1038/s41598-022-10159-2},

issn = {2045-2322},

year  = {2022},

date = {2022-01-01},

journal = {Scientific Reports},

volume = {12},

issue = {1},

pages = {6237},

abstract = {In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts by dying lakes are as yet unknown. The food production in the Urmia region is predominantly regional and relies on local water sources. To explore the current and projected impacts of the dying lake on food production, we investigated changes in the climatic conditions, land use, and land degradation for the period 1990–2020. We examined the environmental impacts of lake drought on food production using an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected and reduced food production over the past three decades. Based on a combination of cellular automaton and Markov modeling, we project the food production for the next 30 years and predict it will reduce further. The results of this study emphasize the critical environmental impacts of the Urmia Lake drought on food production in the region. We hope that the results will encourage authorities and environmental planners to counteract these issues and take steps to support food production. As our proposed integrated geoinformation approach considers both the extensive impacts of global climate change and the factors associated with dying lakes, we consider it to be suitable to investigate the relationships between environmental degradation and scenario-based food production in other regions with dying lakes around the world.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ladi2022b,

title = {Assessing environmental impacts of transportation sector by integrating DPSIR framework and X-Matrix},

author = {Tahmineh Ladi and Asrin Mahmoudpour and Ayyoob Sharifi},

url = {https://www.sciencedirect.com/science/article/pii/S2213624X22000049},

doi = {https://doi.org/10.1016/j.cstp.2022.01.004},

issn = {2213-624X},

year  = {2022},

date = {2022-01-01},

journal = {Case Studies on Transport Policy},

volume = {10},

issue = {1},

pages = {434-443},

abstract = {This paper aims to examine interactions between transportation sector and the environment in Tehran and provide recommendations to achieve a sustainable transportation system. Integrated Driving forces- Pressure-State-Impact-Response (DPSIR) framework with X-Matrix is used as a methodology to achieve the research aim. The DPSIR framework is used for describing the cause-and-effect relationship between environmental impacts of transportation sector, and the X-Matrix to reveal the correlations between factors related to environmental impacts of transportation in the form of DPSIR framework and quantify causal relationships and dynamics between them. The results show that while indicators of ‘Driving forces’ and ‘Pressures’ categories have strong correlations, the correlations between indicators of Pressures-States and States-Impacts seem to be rather medium and weak. Urbanization rate, population growth rate, transportation GDP per capita and illiteracy rate are main driving forces that put pressures on the environment. The paper concludes by recommendations to mitigate environmental impacts of the transportation sector.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Oshiro2022,

title = {Fabrication of a new all-in-one microfluidic dielectrophoresis integrated chip and living cell separation},

author = {Kyoichi Oshiro and Yoshikazu Wakizaka and Masayo Takano and Takayuki Itoi and Hiroki Ohge and Kazumi Koba and Kyoko Yarimizu and So Fujiyoshi and Fumito Maruyama},

url = {https://www.sciencedirect.com/science/article/pii/S2589004222000463},

doi = {https://doi.org/10.1016/j.isci.2022.103776},

issn = {2589-0042},

year  = {2022},

date = {2022-01-01},

journal = {iScience},

volume = {25},

issue = {2},

pages = {103776},

abstract = {Summary Microfluidic dielectrophoresis (DEP) technology has been applied to many devices to perform label-free target cell separation. Cells separated by these devices are used in laboratories, mainly for medical research. The present study designed a microfluidic DEP device to fabricate a rapid and semiautomated cell separation system in conjunction with microscopy to enumerate the separated cells. With this device, we efficiently segregated bacterial cells from liquid products and enriched one cell type from two mixed eukaryotic cell types. The device eliminated sample pretreatment and established cell separation by all-in-one operation in a lab-on-chip, requiring only a small sample volume (0.5–1 mL) to enumerate the target cells and completing the entire separation process within 30 min. Such a rapid cell separation technique is in high demand by many researchers to promptly characterize the target cells.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allam2022b,

title = {Research Structure and Trends of Smart Urban Mobility},

author = {Zaheer Allam and Ayyoob Sharifi},

doi = {10.3390/smartcities5020029},

isbn = {2624-6511},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Smart Cities},

volume = {5},

issue = {2},

abstract = {Mobility is a subject of increasing importance in a time when cities have gained prominence, as they are home to over 56% of the world’s population and generate over 80% of global GDP. Urban planning principles have traditionally been developed to promote urban efficiency and enhance productivity. The emergence of ‘Smart Mobility’ has provided researchers and policy practitioners new ways to understand and plan cities. With rapid urbanization growth and the sustained mobility challenges faced in most global cities, this paper sets forth to understand and map the evolution of the concept of ‘Smart Urban Mobility’ through a bibliometric analysis and science mapping techniques using VOSviewer. In total, 6079 articles were retrieved from the Web of Science database over 5 decades, from 1968 to 2021, and divided into four sub-periods, namely 1968 to 2010, 2011 to 2015, 2016 to 2019, and 2020 to 2021. The paper provides a better understanding of the thematic focus and associated trends of smart mobility beyond technical issues related to Intelligent Transport Systems (ITS), where due to diverse dynamics, such as unprecedented growth and advancement in technologies, attention has extended to incorporating the impacts of the application of different technologies in urban mobility as well as associated fields. This paper further identifies major sources, authors, publications, and countries that have made more contributions to the development of this field. The findings of this study can help researchers better understand the evolution of the subject, and help policymakers make better-informed decisions on investable infrastructures for better mobility outcomes in urban regeneration pursuits and future cities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Airborne bacterial community associated with fine particulate matter (PM2.5) under different air quality indices in Temuco city, southern Chile},

author = {Jacquelinne J Acuña and Tay Ruiz-Gil and Luis Marileo and Elizabeth Carrazana and Joaquin Rilling and Marco Campos and Francisco Correa-Araneda and So Fujiyoshi and Milko A Jorquera},

url = {https://doi.org/10.1007/s00203-021-02740-6},

doi = {10.1007/s00203-021-02740-6},

issn = {1432-072X},

year  = {2022},

date = {2022-01-01},

journal = {Archives of Microbiology},

volume = {204},

issue = {2},

pages = {148},

abstract = {Temuco (Chile) is one of the most polluted cities in Chile and Latin America. Although the fine fraction of particulate matter (PM2.5) has been extensively studied and monitored due to its negative impact on public health, its microbiological components remain unknown. We explored, the airborne bacterial community in PM2.5 under good, moderate, alert, pre-emergency and emergency indices of air quality (AQIs) established by the Chilean government. Bacterial community relationship with environmental factors (PM2.5, PM10, carbon monoxide, among others), was also evaluated. Significant differences in PM2.5 bacterial community composition associated with AQIs were revealed, using 16S rRNA target sequences of denaturing gradient gel electrophoresis (DGGE) bands. Bacterial communities in PM2.5 were mainly clustered (80%) into emergency and pre-emergency samples. The dominant phylum was Proteobacteria and most abundant genus was Novosphingobium, traditionally related to opportunistic respiratory diseases. The main factors associated with community structure were PM2.5, PM10 and carbon monoxide concentrations. This study exposed that bacterial community composition in Temuco varies according to AQIs, with the occurrence of potential opportunistic bacteria on heavily polluted days.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Moradpour2022,

title = {An overview of the state of urban resilience in Iran},

author = {Nabi Moradpour and Ahmad Pourahmad and Hossein Hataminejad and Keramatollah Ziari and Ayyoob Sharifi},

url = {https://doi.org/10.1108/IJDRBE-01-2022-0001},

doi = {10.1108/IJDRBE-01-2022-0001},

issn = {1759-5908},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Disaster Resilience in the Built Environment},

volume = {ahead-of-p},

issue = {ahead-of-print},

publisher = {Emerald Publishing Limited},

abstract = {Purpose In Iran, the frequent occurrence of disasters has always been a major problem. In recent decades, disasters have created considerable challenges, especially in cities. Hence, understanding the levels of urban resilience (UR) and planning for addressing vulnerabilities plays a key role in the era of increasing risks and uncertainties. The present study aims to provide a comprehensive overview of the state of resilience of Iranian cities. Design/methodology/approach A systematic literature review method was used to determine how resilient Iranian cities are. To find relevant studies, the authors searched Iranian and international databases such as Scopus, ScienceDirect, SID and Magiran. There was no restriction on the inclusion date, meaning that all papers published up until September 16, 2021 were considered for inclusion. The PRISMA framework was used for literature search and selection and, finally, 153 studies focused on 52 cities of Iran were selected for the systematic review. Findings In general, the results showed that the level of resilience was low in Iranian cities. Also, informal settlements, worn-out urban fabrics and the central parts of cities showed lower resilience than other parts. Originality/value The results of the study can be used to inform municipal authorities, urban planners and non-governmental organizations of the actions that need to be taken to enhance the resilience of Iranian cities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Transient poverty in a sustainable development context},

author = {Walter Leal Filho and João Henrique Paulino Pires Eustachio and Maria Alzira Pimenta Dinis and Ayyoob Sharifi and Madhavi Venkatesan and Felix Kwabena Donkor and Federica Doni and Ismaila Rimi Abubakar and Katarzyna Cichos and Jose Vargas-Hernández},

url = {https://doi.org/10.1080/13504509.2022.2029612},

doi = {10.1080/13504509.2022.2029612},

issn = {1350-4509},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Sustainable Development & World Ecology},

volume = {29},

issue = {5},

pages = {415-428},

publisher = {Taylor & Francis},

note = {doi: 10.1080/13504509.2022.2029612},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Amirzadeh2022b,

title = {Urban resilience: A vague or an evolutionary concept?},

author = {Melika Amirzadeh and Saeideh Sobhaninia and Ayyoob Sharifi},

url = {https://www.sciencedirect.com/science/article/pii/S2210670722001809},

doi = {https://doi.org/10.1016/j.scs.2022.103853},

issn = {2210-6707},

year  = {2022},

date = {2022-01-01},

journal = {Sustainable Cities and Society},

volume = {81},

pages = {103853},

abstract = {Considering the rapid urbanization trends in many parts of the world and the increasing consequences of climate change, more and more cities are at risk of natural disasters and other environmental, socio-economic, and political disruptions. To address these issues, resilience thinking has attracted the attention of a wide range of stakeholders. However, despite considerable attention to this concept and its frequent usage, resilience remains ambiguous with diverse interpretations in policy discussions and academic debates about cities. Since such vague interpretations would lead to difficulties in theory and practice, the present study aims to clarify some of these concepts by providing a comprehensive review focused on resilience features and comparing different perspectives regarding urban resilience. The study results showed that the main reason behind such ambiguities is that resilience has undergone fundamental changes since its inception, and recent approaches to resilience are generally based on the non-equilibrium model of resilience. There are three main dimensions, including systems, agents, and institutions, as well as three main approaches to urban resilience, including recovery, adaptation, and transformation. This study's conceptual framework of urban resilience provides scholars and policymakers with a more transparent and comprehensive picture of urban resilience and helps them make better-informed decisions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Filho2022b,

title = {The Influence of the Corona Virus Pandemic on Sustainable Development Goal 13 and United Nations Framework Convention on Climate Change Processes},

author = {Walter Leal Filho and Thomas Hickmann and Gustavo J Nagy and Patricia Pinho and Ayyoob Sharifi and Aprajita Minhas and M Rezaul Islam and Riyanti Djalanti and Antonio García Vinuesa and Ismaila Rimi Abubakar},

url = {https://www.frontiersin.org/article/10.3389/fenvs.2022.784466},

isbn = {2296-665X},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Frontiers in Environmental Science},

volume = {10},

abstract = {Apart from many social and economic problems worldwide, the COVID-19 pandemic has also led to sudden halt in face-to-face climate-related meetings. Moreover, it has also negatively influenced the works related to the preparations for the sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) and organizing the 26th Conference of the Parties of the UN Framework Convention on Climate Change (UNFCCC), namely COP26 to be held in Glasgow, which was postponed to November 2021. This article presents a global study undertaken among UNFCCC contact points and other climate experts, to ascertain the impacts of the pandemic on the implementation of SDG13 and UNFCCC processes. The methodological approach entails an bibliometric analysis, online survey, and authors’ expert judgment. Results of the bibliometric analysis show that the most common terms associated with this theme are COVID-19, climate change, CO_{2}, energy, “pandemic-related,” and “adaptation-related.” In addition, the survey revealed some difficulties associated with online participation in the processes from many developing countries. The study concluded that there is negative impact of COVID-19 pandemic on the UNFCCC process, more minor government priorities regarding climate action, loss of traction of the process, and a challenge to achieve the Paris Agreement, with less significant support from the respondents from less developed countries. The findings suggest that urgent action is needed, to make up for the lost time, and place climate issues more prominently on the global agenda.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allam2022c,

title = {Emerging Trends and Knowledge Structures of Smart Urban Governance},

author = {Zaheer Allam and Ayyoob Sharifi and Simon E Bibri and Didier Chabaud},

doi = {10.3390/su14095275},

isbn = {2071-1050},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Sustainability},

volume = {14},

issue = {9},

abstract = {The concept of smart cities peaked in 2015, bringing an increased influx of ‘smart’ devices in the form of the Internet of Things (IoT) and sensors in cities. As a result, interest in smart urban governance has become more prevalent in administrative, organisational, and political circles. This is sustained by both local and global demands for an increased contribution to the goals of sustainability through urban governance processes in response to climate change urgencies. Cities generate up to 70% of global emissions, and in light of societal pressures for more inclusivity and democratic processes, the need for sound urban governance is merited. Further knowledge on the theme of smart urban governance is required to better understand the trends and knowledge structures and better assist policy design. Therefore, this study was undertaken to understand and map the evolution of the concept of smart urban governance through a bibliometric analysis and science mapping techniques using VOSviewer. In total, 1897 articles were retrieved from the Web of Science database over 5 decades, from 1968 to 2021, and divided into three subperiods, namely 1978 to 2015, 2016 to 2019, and 2020 to early 2022. Results indicate that the overall emerging themes across the three periods highlight the need for citizen participation in urban policies, especially in relation to smart cities, and for sustained innovation for e-participation, e-governance, and policy frameworks. The results of this study can aid both researchers exploring the concept of urban governance and policy makers rendering more inclusive urban policies, especially those hosting technological and digital domains.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chreng2022b,

title = {Imputation of missing values for generating typical meteorological year (TMY) with data decomposition and recurrent neural networks},

author = {K Chreng and H S Lee and R P Pradana and T Q Trong and I D G Arya Putra and H Nimiya},

url = {http://dx.doi.org/10.1088/1755-1315/1007/1/012020},

doi = {10.1088/1755-1315/1007/1/012020},

issn = {1755-1307},

year  = {2022},

date = {2022-01-01},

journal = {IOP Conference Series: Earth and Environmental Science},

volume = {1007},

issue = {1},

pages = {12020},

publisher = {IOP Publishing},

abstract = {Typical meteorological year (TMY) for a specific location is critical information when designing low-carbon and energy-saving buildings. However, in developing countries, long-term observations of weather are now readily available and even mixed with missing values. In this study, a nonlinear autoregressive (NAR) recurrent neural network model in combination with improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) method is demonstrated for treating the missing values in observed daily average air temperature at Bogor City in Indonesia. The prediction results for missing values indicate that the ICEEMDAN-NAR hybrid model performs very well with high accuracy when compared with the observed in the validation and model comparison phases. Particularly, the relatively lower frequency oscillation modes in observed data can be predicted well. Thus, this method can be used for relatively medium- and long-term prediction of missing values with respect to the given data/input period. critical to consider cities and buildings from the eyes of older people in society.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jeong2022,

title = {Baroclinic Effect on Inner-Port Circulation in a Macro-Tidal Estuary: A Case Study of Incheon North Port, Korea},

author = {Jae-Soon Jeong and Seung-Buhm Woo and Han S Lee and Bon-Ho Gu and Jong W Kim and Jin I Song},

doi = {10.3390/jmse10030392},

isbn = {2077-1312},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Marine Science and Engineering},

volume = {10},

issue = {3},

abstract = {This study investigated the flow patterns and affecting factors in the North Port of Incheon, South Korea, to understand the inner-port circulation characteristics by applying an unstructured grid finite volume community ocean model (FVCOM) together with a field survey. The FVCOM considered the tide, river discharge, surface winds, and atmospheric pressure with the highest resolution of 50 m around the port. The model results were validated with current velocity and salinity observations. In the main channel, the difference in salinity between the sea surface and bottom increased during the neap tide due to weakened tidal currents, thus strengthening the stratification. However, at the inner port, strong stratification was observed during spring tide as the near-surface freshwater from upstream of the estuary moved relatively farther south of the port than that during the neap tide. Freshwater flowed into the port during the flood current and was trapped in the semi-closed geometry of the inner port. The horizontal salinity gradient between the trapped fresher water in the port and saltier water in the main channel increased during the flood current. As a result, density-driven circulations associated with near-bed currents towards the port were maintained for more than 3 h after high tide. This result implies that the baroclinic effect, mainly due to the salinity gradient in the North Port, could significantly affect residual circulation at the inner harbor in a macro-tidal environment and the mass transport mechanism, such as sediment transport. In general, such enhanced baroclinic effects due to salinity and tides are not limited to the North Port and can have greater effects on inner-port circulation in other macro-tidal harbors that suffer from severe sedimentation problems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bari2022,

title = {The impact of unconditional cash and food assistance on contraceptive expenditure of rural households in Coastal Bangladesh: Evidence from fuzzy RDD},

author = {M D Abdul Bari and Ghulam Dastgir Khan and Bing He and Yuichiro Yoshida},

url = {https://doi.org/10.1371/journal.pone.0262031},

year  = {2022},

date = {2022-01-01},

journal = {PLOS ONE},

volume = {17},

issue = {1},

pages = {e0262031-},

publisher = {Public Library of Science},

abstract = {This study investigates the impact of unconditional cash and food (UCF) assistance on the monthly contraceptive expenditure of rural households in coastal Bangladesh using a fuzzy regression discontinuity design (RDD). Eligibility for UCF assistance was based on the running variable of land ownership in acres. We used eligibility as an instrumental variable to estimate the local average treatment effect of UCF assistance on contraceptive expenditures. The results show that UCF assistance results in increases in monthly contraceptive expenditures.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Cao2022,

title = {A comparative study on the supply of applied human resources for regional labour market needs in China’s private higher education},

author = {Lei Cao and Tatsuya Kusakabe},

url = {https://doi.org/10.1177/09504222221081670},

doi = {10.1177/09504222221081670},

issn = {0950-4222},

year  = {2022},

date = {2022-01-01},

journal = {Industry and Higher Education},

pages = {09504222221081670},

publisher = {SAGE Publications Ltd},

abstract = {The purpose of this study is to explore changing trends of the applied human resource (AHR) system in China?s private higher education institutions (PHEIs) and to examine the supply of AHRs by considering the dimensions of regional labour demand. The study specifically assesses the AHR demand of regional employment enterprises and the human resource development goals and related curricula in the three branches of PHEIs. It also analyses the employment situation of PHEI graduates and whether they address the actual AHR supply needs of the regional labour market. Six PHEIs and nine enterprises as employers were investigated as the study population, combining qualitative and quantitative data. The findings indicate that China?s PHEIs quickly identified and overcame the challenges in their previous student cultivation goals and relevant curricula by researching the regional situation and taking responsibility for meeting demand. As a result, the PHEIs worked on developing transformative human resource systems through various initiatives. Moreover, these transformations of educational content worked in conjunction with a process that matched the graduates with jobs at regional enterprises. The transformed PHEIs are beginning to provide a human resource supply system that successfully expands the AHR supply from the various categories of PHEIs in the region.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tuy2022,

title = {Offshore wind resource mapping in Cambodia: Sensitivity assessment of the weather research and forecasting model},

author = {Soklin Tuy and Han Soo Lee and Karodine Chreng},

url = {https://www.sciencedirect.com/science/article/pii/S2352484722000658},

doi = {https://doi.org/10.1016/j.egyr.2022.01.065},

issn = {2352-4847},

year  = {2022},

date = {2022-01-01},

journal = {Energy Reports},

volume = {8},

pages = {359-364},

abstract = {The objective of this paper is to assess the sensitivity of the weather research and forecasting (WRF) to three important parameters: nesting with nudging options, planetary boundary layer (PBL) options, and nudged variable options for Cambodian territory. Three tests are set up and carried out, and each of the test, intended for each parameter, is comprised of several experiments. All experiments are simulated for the same period of 15-day. Then the outputs of the WRF model are validated against measured wind data from four meteorological stations at 10 m above the ground level. The results show that the WRF is unlikely influenced by the nesting choices but more sensitive to the PBL options for wind speed simulation. In term of wind direction, the model is insensitive to any of the tested parameters. Through statistical and graphical analyses, the best experiments are found to be the two-way nesting with gridded nudging for nesting with nudging options, MYNN2.5 scheme for PBL options, and nudged wind components for nudged variable. With these optimal configurations, the model is then applied for simulations of higher vertical-level wind and for mapping the offshore wind resource in Cambodia. The offshore winds at 80 and 100 m above sea-level are found to be around 5–7 m/s over Cambodian EEZ.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Khai2022,

title = {Efficiency assessment of technologies implementation in Vietnam power transmission system},

author = {Le Quang Khai and Han Soo Lee},

url = {https://www.sciencedirect.com/science/article/pii/S2352484722000269},

doi = {https://doi.org/10.1016/j.egyr.2022.01.026},

issn = {2352-4847},

year  = {2022},

date = {2022-01-01},

journal = {Energy Reports},

volume = {8},

pages = {16-22},

abstract = {Many flaws have emerged on Vietnam power transmission system, such as obsolete technology and aging components. High voltage direct current (HVDC) system, 750 kV system, Aluminum Conductor Composite Core (ACCC) conductor are determined by Vietnam government to be implemented because of their performance as well as their suitability to the existing system. Newton Raphson load flow method is utilized to analyze different scenarios, in which performance of these technologies are compared with each other to identify the most robust method to decrease real power loss in steady state working condition. As results signified, 750 kV system is the solution with highest efficiency, whereas ACCC and HVDC’s performance does not match the expectation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chreng2022c,

title = {Electricity demand prediction for sustainable development in Cambodia using recurrent neural networks with ERA5 reanalysis climate variables},

author = {Karodine Chreng and Han Soo Lee and Soklin Tuy},

url = {https://www.sciencedirect.com/science/article/pii/S2352484722000257},

doi = {https://doi.org/10.1016/j.egyr.2022.01.025},

issn = {2352-4847},

year  = {2022},

date = {2022-01-01},

journal = {Energy Reports},

volume = {8},

pages = {76-81},

abstract = {Sustainable energy development plays a prominent role in energy planning to maintain natural resources and mitigate the usage of fossil fuels. The atmospheric factor is one of the main influencing factors that changed the electricity consumption’s behavior due to global warming. In this study, the recurrent neural network (RNN) models were developed to examine the effects of 66 climate variables, collected from the European Center for Medium-Range Weather Forecast (ECMWF) ERA5 reanalysis, on power demand in Cambodia. The statistically significant climate variables were filtered by considering the cross-correlation between power demand and each climate variable. Moreover, the wide range of feedback delays was computed from the power demand dataset and was defined using the 95% confidence intervals. The comparison between a nonlinear autoregressive neural network with exogenous inputs (NARX) using historical power demand with the correlated climate variables and a nonlinear autoregressive neural network (NAR) using only historical power demand dataset was made. The various benchmarked models were evaluated and compared for their performances using statistical indices such as normalized root-mean-square error (NMSE) and coefficient of determination (R2). The results showed the NARX model could perform better than the NAR model for predicting electricity demand time-series.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Vinayak2022,

title = {Impacts of future urbanization on urban microclimate and thermal comfort over the Mumbai metropolitan region, India},

author = {Bhanage Vinayak and Han Soo Lee and Shirishkumar Gedam and R. Latha},

doi = {10.1016/j.scs.2022.103703},

issn = {22106707},

year  = {2022},

date = {2022-01-01},

journal = {Sustainable Cities and Society},

volume = {79},

publisher = {Elsevier Ltd},

abstract = {This study examines the microclimatic impacts of future urbanization over the Mumbai Metropolitan Region (MMR) in India using a dynamic downscaling approach. Initially, two numerical experiments (curr_exp and fut_exp) were carried out by integrating 2018 and 2050 land-use/land-cover patterns under the same meteorological conditions. Afterwards, the spatial and temporal changes in surface air temperature, wind speed, and thermal discomfort were assessed by comparing the simulated results between curr_exp and fut_exp. To remediate the observed adverse microclimatic impacts of future urbanization, a mitigation strategy was designed and implemented in the third experiment (miti_exp). Simulation results show that the average maximum (minimum) surface air temperature of the region would increase by 1.41 °C (1.27 °C) due to future urbanization. However, if we adopt the mitigation strategy, this growth can be restricted to 0.69 °C (0.92 °C). In the context of thermal discomfort, an additional 20% of the total area can undergo hyperthermal treatment by 2050. This study reveals that although the implemented mitigation strategy can restrict the increasing temperature, it is ineffectual in minimizing the thermal discomfort level. The results of this study will be helpful in designing area-specific climate action plans through which goals of sustainable urban development can be accomplished.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yamane2022b,

title = {The Sustainable Development Goals as new business norms: A survey experiment on stakeholder preferences},

author = {Tomomi Yamane and Shinji Kaneko},

doi = {10.1016/j.ecolecon.2021.107236},

issn = {09218009},

year  = {2022},

date = {2022-01-01},

journal = {Ecological Economics},

volume = {191},

publisher = {Elsevier B.V.},

abstract = {The Sustainable Development Goals (SDGs) were set by the United Nations General Assembly in 2015 to work towards a sustainable society in which economic prosperity is achieved and social and environmental concerns are met. Under the SDGs, businesses are expected to assume increasingly active roles. However, little is known about the relationship between the preferences of stakeholders and businesses' contributions to the SDGs. This study, therefore, investigates whether the SDGs can function as business norms by examining stakeholder support for sustainable practices. Specifically, the study examines preferences for companies that contribute to the SDGs and the effects of raising awareness regarding the inherent nature of the SDGs on stakeholders' preferences. To this end, we used a nationwide online survey dataset conducted in Japan (n = 6043) and employed a combination of conjoint analysis and an information treatment experiment. The results showed that implementing the SDGs increased stakeholders' preferences for companies. However, a gap existed between the stakeholders' preferred SDGs and the companies' priorities concerning the SDG implementation. The findings suggest that increasing stakeholders' awareness is effective in closing the gap.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dhital2022,

title = {Household access to water and education for girls: The case of villages in hilly and mountainous areas of Nepal},

author = {Ram Prasad Dhital and Takahiro Ito and Shinji Kaneko and Satoru Komatsu and Yuichiro Yoshida},

url = {https://doi.org/10.1080/13600818.2021.1965978},

doi = {10.1080/13600818.2021.1965978},

issn = {1360-0818},

year  = {2022},

date = {2022-01-01},

journal = {Oxford Development Studies},

volume = {50},

issue = {2},

pages = {142-157},

publisher = {Routledge},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hotak2022,

title = {Fiscal illusion of the stated preferences of government officials regarding interministerial policy packages: A case study on child labor in Afghanistan},

author = {Nematullah Hotak and Shinji Kaneko},

doi = {10.1016/j.eap.2021.11.019},

issn = {03135926},

year  = {2022},

date = {2022-01-01},

journal = {Economic Analysis and Policy},

volume = {73},

pages = {285-298},

publisher = {Elsevier B.V.},

abstract = {Fiscal illusion refers to taxpayers’ perceptions of the gap between their burden and their expectations regarding the provision of public services. In this paper, we provide a comprehensive picture of the preferences of central government officials with respect to a hypothetical interministerial anti-child labor policy program. In our randomized conjoint analysis, the policy program consists of five attributes: (i) share of open-air classes; (ii) share of qualified teachers; (iii) provision of child allowance; (iv) female labor participation; and (v) an attribute related to the scale of budget, defined by either tax payment or share of government expenditure. The respondents were randomly assigned to two groups by assigning different fifth attributes. We compared the supporting rate for the proposed anti-child labor policy program between the two groups of 605 respondents: tax payment and share of government expenditure. Thus, our primary goal was to compare two attributes. We found that the average marginal component effects (AMCEs) between the two attributes showed completely opposite directions, suggesting that a significant fiscal illusion problem exists among central government officials working in Kabul. Moreover, women and staff in lower positions of government were found to be more biased. It should be noted that, due to insensitivity to the tax payment levels when they are set by the comparable range of scale of budget with the share of government expenditures, and our setting of the levels of two attributes on different scales, the study demonstrates a mere qualitative comparison.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yamane2022c,

title = {Does hostility affect public support for the provision of global public goods among competing neighboring countries? A survey experiment in Northeast Asia},

author = {Tomomi Yamane and Shinji Kaneko},

doi = {10.1016/j.gloenvcha.2021.102455},

issn = {09593780},

year  = {2022},

date = {2022-01-01},

journal = {Global Environmental Change},

volume = {73},

publisher = {Elsevier Ltd},

abstract = {Cooperation beyond the borders of sovereign states and investment in global public goods (GPGs) are essential for tackling transboundary challenges, such as climate change, marine pollution, and health security. However, little is known about how regional tension or isolationism might affect cooperation with neighboring countries on transboundary issues. Thus, in this study, using a conjoint experiment of representative samples from members of the public in Japan, China, and South Korea, we investigated: 1) public support for GPGs using the case of trilateral cooperation for the establishment of common global funds among Japan, China, and South Korea; and 2) the extent to which hostility toward neighboring countries affects such public support. The results showed that Chinese people had lower hostility toward neighboring countries and higher public support. Both Japanese and South Koreans had higher hostility. Meanwhile, public support was lower in Japan but moderate in South Korea. These results suggest that hostility toward neighboring countries affects public support for GPGs. The stronger the hostility toward neighboring countries is, the lower the public support for international cooperation becomes. However, the mechanisms of these effects are complex. Generally, hostility toward a government has more negative effects than hostility toward people of the same country. Furthermore, the present study provides important insights based on the findings that Chinese strongly supported building GPGs with neighboring countries, and people in all three countries somewhat supported equal sharing of the financial burden. However, authorization mechanisms for GPGs are essential, because citizens most supported GPGs managed by their home country. Thus, adopting authorization mechanisms to mutually manage funds is essential for widening public support for GPGs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Is Society Ready for AI Ethical Decision Making? Lessons from a Study on Autonomous Cars},

author = {Johann Caro-Burnett and Shinji Kaneko},

doi = {10.1016/j.socec.2022.101881},

issn = {22148051},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Behavioral and Experimental Economics},

volume = {98},

publisher = {Elsevier Inc.},

abstract = {We conduct two separate experiments to study the social acceptance of AI ethical decision making. In the first experiment, we test whether there is an “unfounded” fear of technology. We contrast two methods to measure this fear: an indirect method that measures preferences implicitly and a direct method that measures preferences explicitly. Direct questions show that humans have an aversion to AI; however, indirect questions show that humans are not averse to the implementation of new technologies. We provide a theory to identify the cause of this discrepancy: in addition to their own preferences, subjects largely weight social preferences in direct questions. In the second experiment, we study how humans react to different ways of introducing this new technology to society and find that part of the fear of AI may be related to trust in one's government. Our results show that although individuals do not have a bias against AI, its explicit discussion may generate antagonism.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hussainzada2022b,

title = {Effect of an improved agricultural irrigation scheme with a hydraulic structure for crop cultivation in arid northern Afghanistan using the Soil and Water Assessment Tool (SWAT)},

author = {Wahidullah Hussainzada and Han Soo Lee},

doi = {10.1038/s41598-022-09318-2},

issn = {2045-2322},

year  = {2022},

date = {2022-01-01},

journal = {Scientific Reports},

volume = {12},

issue = {1},

pages = {5186},

abstract = {<p>The current study focuses on water scarcity, water shortages, and inequal water allocation for downstream water users in the Balkhab River basin (BRB) in northern Afghanistan. The Soil and Water Assessment Tool (SWAT) was utilized to determine the hydrological process in the watershed and assess the water resource capacity. The model was calibrated and validated to ensure proper model setup for the entire watershed. The analysis of the current water management and allocation scheme indicated inadequate water distributions for the downstream irrigation canals. The current water allocation approach was modified based on crop water requirements and the available agricultural lands. A new irrigation scheme was proposed and included in the SWAT model that does not decrease upstream water allocation. The annual streamflow in the Balkhab River can supply the extra allocated water downstream without influencing the upstream water. Notably, a dam was proposed in the middle stream to store water during the winter and early spring seasons, as well as floodwater. The model outcomes showed that the existing annual streamflow in the river can fully support the irrigation of currently available land and an extra 18,470.6 ha of agricultural lands in the BRB. The results of this study can contribute to scientific evidence-based policy and decision-making processes for sustainable agricultural water resource management and flood control in the study region.</p>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tuy2022b,

title = {Integrated assessment of offshore wind power potential using Weather Research and Forecast (WRF) downscaling with Sentinel-1 satellite imagery, optimal sites, annual energy production and equivalent CO2 reduction},

author = {Soklin Tuy and Han Soo Lee and Karodine Chreng},

doi = {10.1016/j.rser.2022.112501},

issn = {13640321},

year  = {2022},

date = {2022-01-01},

journal = {Renewable and Sustainable Energy Reviews},

volume = {163},

pages = {112501},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Phenolic allelochemicals: Achievements, limitations, and prospective approaches in weed management},

author = {L Hoang Anh and N Van Quan and L Tuan Nghia and T Dang Xuan},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107823696&doi=10.1111%2Fwbm.12230&partnerID=40&md5=caf12da0a9a74cf1e5784fa98b39759c},

doi = {10.1111/wbm.12230},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Weed Biology and Management},

volume = {21},

issue = {2},

pages = {37-67},

keywords = {},

pubstate = {published},

tppubtype = {article}

}