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Shaoqing Chen; Kai Fang; Shobhakar Dhakal; Ali Kharrazi; Kangkang Tong; Anu Ramaswami. Reshaping urban infrastructure for a carbon-neutral and sustainable future. Resources, Conservation and Recycling 2021, 174, 105765 .
AMA StyleShaoqing Chen, Kai Fang, Shobhakar Dhakal, Ali Kharrazi, Kangkang Tong, Anu Ramaswami. Reshaping urban infrastructure for a carbon-neutral and sustainable future. Resources, Conservation and Recycling. 2021; 174 ():105765.
Chicago/Turabian StyleShaoqing Chen; Kai Fang; Shobhakar Dhakal; Ali Kharrazi; Kangkang Tong; Anu Ramaswami. 2021. "Reshaping urban infrastructure for a carbon-neutral and sustainable future." Resources, Conservation and Recycling 174, no. : 105765.
Detecting spatial carbon inequality is critical to achieving regional emission reduction targets from the perspectives of ensuring equality and efficiency. While previous studies have measured spatial carbon inequality and identified its drivers, few studies have explored these drivers at a sectorial level. Taking China’s Yangtze River Economic Belt (YREB) as a case study example, this study explores the drivers of spatial carbon inequality at the sectoral level and reveals the following key points. (1) The regional heterogeneity in CO₂ emissions driven by economic factors have increased from 2002 to 2012. (2) The wide spatial differences in CO₂ emissions are driven by per capita final demand, production structure, and final demand structure. (3) Driven by emission intensity, the production structure, and the final demand structure effects, the Electricity and heat production and supply, Smelting and pressing of metals, and Nonmetal mineral products have become the most critical sectors aggravating the spatial carbon inequality. (4) Driven by the production structure and final demand structure, most of the middle and lower reaches of the YREB emit more CO₂ in the aforementioned sectors. Our findings support the implementation of coordinated emission reduction plans in the YREB region.
Shuo Zhang; Ali Kharrazi; Yadong Yu; Hongtao Ren; Liyun Hong; Tieju Ma. What causes spatial carbon inequality? Evidence from China’s Yangtze River economic Belt. Ecological Indicators 2020, 121, 107129 .
AMA StyleShuo Zhang, Ali Kharrazi, Yadong Yu, Hongtao Ren, Liyun Hong, Tieju Ma. What causes spatial carbon inequality? Evidence from China’s Yangtze River economic Belt. Ecological Indicators. 2020; 121 ():107129.
Chicago/Turabian StyleShuo Zhang; Ali Kharrazi; Yadong Yu; Hongtao Ren; Liyun Hong; Tieju Ma. 2020. "What causes spatial carbon inequality? Evidence from China’s Yangtze River economic Belt." Ecological Indicators 121, no. : 107129.
Sustainability is increasingly concerned with the complex interactions between nature and society, and we need to seek solutions towards the challenges that threaten humanity's collective wellbeing. Towards this end, it is critical to advance the application of research examining the dynamic interactions of the components of complex social-ecological systems and their emerging properties. A key research area is on advancing tools and strategies relevant to the evaluation and strengthening of resilience. Redundancy, diversity, and modularity are important characteristics of resilience with a high potential for application in various critical social-ecological systems. This paper provides a critical overview of the theoretical underpinnings of modularity and redundancy and their application in measuring resilience of trade networks with implications for public policy and institutional design.
Ali Kharrazi; Yadong Yu; Arun Jacob; Nemi Vora; Brian D. Fath. Redundancy, Diversity, and Modularity in Network Resilience: Applications for International Trade and Implications for Public Policy. Current Research in Environmental Sustainability 2020, 2, 100006 .
AMA StyleAli Kharrazi, Yadong Yu, Arun Jacob, Nemi Vora, Brian D. Fath. Redundancy, Diversity, and Modularity in Network Resilience: Applications for International Trade and Implications for Public Policy. Current Research in Environmental Sustainability. 2020; 2 ():100006.
Chicago/Turabian StyleAli Kharrazi; Yadong Yu; Arun Jacob; Nemi Vora; Brian D. Fath. 2020. "Redundancy, Diversity, and Modularity in Network Resilience: Applications for International Trade and Implications for Public Policy." Current Research in Environmental Sustainability 2, no. : 100006.
The soiling of solar panels from dry deposition affects the overall efficiency of power output from solar power plants. This study focuses on the detection and monitoring of sand deposition (wind-blown dust) on photovoltaic (PV) solar panels in arid regions using multitemporal remote sensing data. The study area is located in Bhadla solar park of Rajasthan, India which receives numerous sandstorms every year, carried by westerly and north-westerly winds. This study aims to use Google Earth Engine (GEE) in monitoring the soiling phenomenon on PV panels. Optical imageries archived in the GEE platform were processed for the generation of various sand indices such as the normalized differential sand index (NDSI), the ratio normalized differential soil index (RNDSI), and the dry bare soil index (DBSI). Land surface temperature (LST) derived from Landsat 8 thermal bands were also used to correlate with sand indices and to observe the pattern of sand accumulation in the target region. Additionally, high-resolution PlanetScope images were used to quantitatively validate the sand indices. Our study suggests that the use of freely available satellite data with semiautomated processing on GEE can be a useful alternative to manual methods. The developed method can provide near real-time monitoring of soiling on PV panels cost-effectively. This study concludes that the DBSI method has a comparatively higher potential (89.6% Accuracy, 0.77 Kappa) in the detection of sand deposition on PV panels as compared to other indices. The findings of this study can be useful to solar energy companies in the development of an operational plan for the cleaning of PV panels regularly.
Hitesh Supe; Ram Avtar; Deepak Singh; Ankita Gupta; Ali P. Yunus; Jie Dou; Ankit A. Ravankar; Geetha Mohan; Saroj Kumar Chapagain; Vivek Sharma; Chander Kumar Singh; Olga Tutubalina; Ali Kharrazi. Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments. Remote Sensing 2020, 12, 1466 .
AMA StyleHitesh Supe, Ram Avtar, Deepak Singh, Ankita Gupta, Ali P. Yunus, Jie Dou, Ankit A. Ravankar, Geetha Mohan, Saroj Kumar Chapagain, Vivek Sharma, Chander Kumar Singh, Olga Tutubalina, Ali Kharrazi. Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments. Remote Sensing. 2020; 12 (9):1466.
Chicago/Turabian StyleHitesh Supe; Ram Avtar; Deepak Singh; Ankita Gupta; Ali P. Yunus; Jie Dou; Ankit A. Ravankar; Geetha Mohan; Saroj Kumar Chapagain; Vivek Sharma; Chander Kumar Singh; Olga Tutubalina; Ali Kharrazi. 2020. "Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments." Remote Sensing 12, no. 9: 1466.
Spatial urban growth and its impact on land surface temperature (LST) is a high priority environmental issue for urban policy. Although the impact of horizontal spatial growth of cities on LST is well studied, the impact of the vertical spatial distribution of buildings on LST is under-investigated. This is particularly true for cities in sub-tropical developing countries. In this study, TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-XDEM), Advanced Spaceborne Thermal Emission and Reflection (ASTER)-Global Digital Elevation Model (GDEM), and ALOS World 3D-30m (AW3D30) based Digital Surface Model (DSM) data were used to investigate the vertical growth of the Dhaka Metropolitan Area (DMA) in Bangladesh. Thermal Infrared (TIR) data (10.6-11.2µm) of Landsat-8 were used to investigate the seasonal variations in LST. Thereafter, the impact of horizontal and vertical spatial growth on LST was studied. The result showed that: (a) TanDEM-X DSM derived building height had a higher accuracy as compared to other existing DSM that reveals mean building height of the Dhaka city is approximately 10 m, (b) built-up areas were estimated to cover approximately 94%, 88%, and 44% in Dhaka South City Corporation (DSCC), Dhaka North City Corporation (DNCC), and Fringe areas, respectively, of DMA using a Support Vector Machine (SVM) classification method, (c) the built-up showed a strong relationship with LST (Kendall tau coefficient of 0.625 in summer and 0.483 in winter) in comparison to vertical growth (Kendall tau coefficient of 0.156 in the summer and 0.059 in the winter), and (d) the ‘low height-high density’ areas showed high LST in both seasons. This study suggests that vertical development is better than horizontal development for providing enough open spaces, green spaces, and preserving natural features. This study provides city planners with a better understating of sustainable urban planning and can promote the formulation of action plans for appropriate urban development policies.
Mustafizur Rahman; Ram Avtar; Ali P. Yunus; Jie Dou; Prakhar Misra; Wataru Takeuchi; Netrananda Sahu; Pankaj Kumar; Brian Alan Johnson; Rajarshi Dasgupta; Ali Kharrazi; Shamik Chakraborty; Tonni Agustiono Kurniawan. Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka. Remote Sensing 2020, 12, 1191 .
AMA StyleMustafizur Rahman, Ram Avtar, Ali P. Yunus, Jie Dou, Prakhar Misra, Wataru Takeuchi, Netrananda Sahu, Pankaj Kumar, Brian Alan Johnson, Rajarshi Dasgupta, Ali Kharrazi, Shamik Chakraborty, Tonni Agustiono Kurniawan. Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka. Remote Sensing. 2020; 12 (7):1191.
Chicago/Turabian StyleMustafizur Rahman; Ram Avtar; Ali P. Yunus; Jie Dou; Prakhar Misra; Wataru Takeuchi; Netrananda Sahu; Pankaj Kumar; Brian Alan Johnson; Rajarshi Dasgupta; Ali Kharrazi; Shamik Chakraborty; Tonni Agustiono Kurniawan. 2020. "Monitoring Effect of Spatial Growth on Land Surface Temperature in Dhaka." Remote Sensing 12, no. 7: 1191.
Operational monitoring of vegetation and its response to climate change involves the use of vegetation indices (VIs) in relation to relevant climatic data. This study analyses the temporal variations of vegetation indices in response to climatic data (temperature and precipitation) to better understand the phenological changes in the Wa-West and Tolon districts of Ghana during 1999–2011. This study also examines the inter-annual variation of vegetation indices and lag effects of climate variables (temperature and precipitation) using simple regression and correlation approaches. Results indicate that the mean Normalized Difference Vegetation Index (NDVI) and Normalized Difference Soil Index (NDSI) were significantly correlated with the mean temperature, whereby the value of NDVI increases with a decrease in temperature and value of NDSI increases with an increase in temperature. On examining seasonal variations, our findings indicated that the months of August and September have the highest mean NDVI values. This study confirms that consistently rising temperature and altered precipitation patterns have exerted a strong influence on temporal distributions and productivities of the terrestrial ecosystems of the Tolon and Wa-West districts of Ghana. Furthermore, this research demonstrates how vegetation indices can be used as an indicator to monitor phenological changes in the terrestrial ecosystem.
Ram Avtar; Ali P. Yunus; Osamu Saito; Ali Kharrazi; Pankaj Kumar; Kazuhiko Takeuchi. Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana. Geocarto International 2020, 1 -17.
AMA StyleRam Avtar, Ali P. Yunus, Osamu Saito, Ali Kharrazi, Pankaj Kumar, Kazuhiko Takeuchi. Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana. Geocarto International. 2020; ():1-17.
Chicago/Turabian StyleRam Avtar; Ali P. Yunus; Osamu Saito; Ali Kharrazi; Pankaj Kumar; Kazuhiko Takeuchi. 2020. "Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana." Geocarto International , no. : 1-17.
Resilience and sustainability are abstract concepts which despite their similarities are unique in their definition and application. Sustainability is a normative concept focusing on the balanced...
Ali Kharrazi; Paulo Savaget; Shogo Kudo. Resilience and Sustainability. Encyclopedia of Sustainability in Higher Education 2019, 1 -4.
AMA StyleAli Kharrazi, Paulo Savaget, Shogo Kudo. Resilience and Sustainability. Encyclopedia of Sustainability in Higher Education. 2019; ():1-4.
Chicago/Turabian StyleAli Kharrazi; Paulo Savaget; Shogo Kudo. 2019. "Resilience and Sustainability." Encyclopedia of Sustainability in Higher Education , no. : 1-4.
Ali Kharrazi; Tomohiro Akiyama; Masaru Yarime. Resilience Thinking and Sustainable Development. Encyclopedia of Sustainability in Higher Education 2019, 1410 -1413.
AMA StyleAli Kharrazi, Tomohiro Akiyama, Masaru Yarime. Resilience Thinking and Sustainable Development. Encyclopedia of Sustainability in Higher Education. 2019; ():1410-1413.
Chicago/Turabian StyleAli Kharrazi; Tomohiro Akiyama; Masaru Yarime. 2019. "Resilience Thinking and Sustainable Development." Encyclopedia of Sustainability in Higher Education , no. : 1410-1413.
Renewable energy has received noteworthy attention during the last few decades. This is partly due to the fact that fossil fuels are depleting and the need for energy is soaring because of the growing population of the world. This paper attempts to provide an idea of what is being done by researchers in remote sensing and geographical information system (GIS) field for exploring the renewable energy resources in order to get to a more sustainable future. Several studies related to renewable energy resources viz. geothermal energy, wind energy, hydropower, biomass, and solar energy, have been considered in this paper. The focus of this review paper is on exploring how remote sensing and GIS-based techniques have been beneficial in exploring optimal locations for renewable energy resources. Several case studies from different parts of the world which use such techniques in exploring renewable energy resource sites of different kinds have also been included in this paper. Though each of the remote sensing and GIS techniques used for exploration of renewable energy resources seems to efficiently sell itself in being the most effective among others, it is important to keep in mind that in actuality, a combination of different techniques is more efficient for the task. Throughout the paper, many issues relating to the use of remote sensing and GIS for renewable energy are examined from both current and future perspectives and potential solutions are suggested. The authors believe that the conclusions and recommendations drawn from the case studies and the literature reviewed in the present study will be valuable to renewable energy scientists and policymakers.
Ram Avtar; Netrananda Sahu; Ashwani Kumar Aggarwal; Shamik Chakraborty; Ali Kharrazi; Ali P. Yunus; Jie Dou; Tonni Agustiono Kurniawan. Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review. Resources 2019, 8, 149 .
AMA StyleRam Avtar, Netrananda Sahu, Ashwani Kumar Aggarwal, Shamik Chakraborty, Ali Kharrazi, Ali P. Yunus, Jie Dou, Tonni Agustiono Kurniawan. Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review. Resources. 2019; 8 (3):149.
Chicago/Turabian StyleRam Avtar; Netrananda Sahu; Ashwani Kumar Aggarwal; Shamik Chakraborty; Ali Kharrazi; Ali P. Yunus; Jie Dou; Tonni Agustiono Kurniawan. 2019. "Exploring Renewable Energy Resources Using Remote Sensing and GIS—A Review." Resources 8, no. 3: 149.
Population growth, climate change, and conflicting demand by industry and agriculture are increasingly straining our planet’s water resources. In this light, there is a need to advance holistic approaches and objective tools which allow policymakers to better evaluate system-level properties and trade-offs of water resources. This chapter contributes to the expanding literature in this area by highlighting water resource management strategies based on the ecological network analysis (ENA) approach. This chapter overviews the theoretical underpinnings of the ENA approach and its application, limitations, and weaknesses for water resource management research. Furthermore, through the case study of the Heihe River Basin, this chapter demonstrates how to examine system-level properties and their trade-offs relevant to the resilience of water services. The ENA approach considers holistic trade-offs that may be used to evaluate alternative water recycling and saving scenarios. This approach can complement multiple criteria decision-making framework and scenario planning approaches and can be beneficial in developing new applicable water resource management strategies.
Ali Kharrazi; Tomohiro Akiyama. Application of the Ecological Network Analysis (ENA) Approach in Water Resource Management Research: Strengths, Weaknesses, and Future Research Directions. Water Conservation, Recycling and Reuse: Issues and Challenges 2019, 259 -276.
AMA StyleAli Kharrazi, Tomohiro Akiyama. Application of the Ecological Network Analysis (ENA) Approach in Water Resource Management Research: Strengths, Weaknesses, and Future Research Directions. Water Conservation, Recycling and Reuse: Issues and Challenges. 2019; ():259-276.
Chicago/Turabian StyleAli Kharrazi; Tomohiro Akiyama. 2019. "Application of the Ecological Network Analysis (ENA) Approach in Water Resource Management Research: Strengths, Weaknesses, and Future Research Directions." Water Conservation, Recycling and Reuse: Issues and Challenges , no. : 259-276.
Ali Kharrazi. Resilience. Encyclopedia of Ecology 2019, 414 -418.
AMA StyleAli Kharrazi. Resilience. Encyclopedia of Ecology. 2019; ():414-418.
Chicago/Turabian StyleAli Kharrazi. 2019. "Resilience." Encyclopedia of Ecology , no. : 414-418.
Structural decomposition analysis (SDA) is a very commonly used method for exploring the driving forces of environmental pressure (EP). Enhanced with attribution analysis, SDA can further decompose the driving forces of EP into economic sectors or sub-regions and provide more detailed evidence-based policymaking. However, current studies of SDA with attribution analysis have not been sufficiently developed and are only one-tiered, i.e., they decompose the driving forces of EP into either a sub-regional or an economic sectoral level. In this study, we introduce a method of SDA with a two-tiered attribution analysis, which is capable of 1) exploring the driving force of environmental pressure at a multi-regional level and 2) further decomposing the driving forces of EP into both sub-regions and economic sectors. Based on this method, we explore the driving forces for the change of energy consumption in the Jing-Jin-Ji region during the period of 2007–2012. Results of this case study indicate that technological change, final demand structure, and final demand composition respectively contributed −129%, 12%, and −3% while affluence, production structure, total population, and population structure respectively contributed 129%, 77%, 38%, and 2% to energy consumption change in the region. In terms of sub-regional and economic sectoral level contributions, Hebei province and the chemical and smelting and rolling of metals industries were the most prominent contributors. Through this case study, we situate the strengths and limitations of the two-tiered attribution SDA method and propose key policy suggestions and future research directions.
Yadong Yu; Sai Liang; Wenji Zhou; Hongtao Ren; Ali Kharrazi; Bing Zhu. A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region. Journal of Cleaner Production 2018, 213, 165 -175.
AMA StyleYadong Yu, Sai Liang, Wenji Zhou, Hongtao Ren, Ali Kharrazi, Bing Zhu. A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region. Journal of Cleaner Production. 2018; 213 ():165-175.
Chicago/Turabian StyleYadong Yu; Sai Liang; Wenji Zhou; Hongtao Ren; Ali Kharrazi; Bing Zhu. 2018. "A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region." Journal of Cleaner Production 213, no. : 165-175.
Environmental education is shaped in response to societal and environmental realities and it reflects new interests and demands that enable sustainable transformations. In recent years, the concept of resilience has taken an increasingly significant role among practitioners, researchers, policymakers, and especially within the Sustainable Development Goals (SDGs). Despite its growing importance, the literature surrounding the concept of resilience has struggled to find a consensus on definitions and measurements and therefore may be easily misconceived. In this avenue, a consensus among varying perspectives of resilience may be better achieved by understanding the interaction between students’ prior knowledge (pre-conception) of resilience and the knowledge provided by educators. Based on the case study of five courses that teach the concept of this paper firstly identifies and discusses three common misconceptions among students, focusing on the concept of socio-ecological resilience. These include misconceptions to the value judgment, adaptability, and the costs that are relevant to the concept of resilience. Secondly, this paper discusses educational tools derived from scenario planning and theoretical foundations underlying empirical approaches to the concept of resilience, which may benefit educators in enabling critical thinking to address such common misconceptions. This paper may contribute to ongoing discussions in the environmental education literature, specifically to both pedagogy and curriculum focusing on the concept of resilience.
Ali Kharrazi; Shogo Kudo; Doreen Allasiw. Addressing Misconceptions to the Concept of Resilience in Environmental Education. Sustainability 2018, 10, 4682 .
AMA StyleAli Kharrazi, Shogo Kudo, Doreen Allasiw. Addressing Misconceptions to the Concept of Resilience in Environmental Education. Sustainability. 2018; 10 (12):4682.
Chicago/Turabian StyleAli Kharrazi; Shogo Kudo; Doreen Allasiw. 2018. "Addressing Misconceptions to the Concept of Resilience in Environmental Education." Sustainability 10, no. 12: 4682.
Environmental education is essential in the diffusion of the ethics, values, and skills that are critical to sustainable transformations. This paper presents the experience of non-formal environmental education approaches held in schools in the Petrópolis region of Rio de Janeiro, Brazil between 1997–2016. This paper adds to the literature on the relevant approaches and effectives of non-formal environmental education, especially in the vulnerable areas of low and middle-income regions that face critical environmental challenges. Specifically, to set up the context, this paper intends to firstly convey the commonly identified environmental sustainability challenges that the communities of the Petrópolis region are facing. Secondly, this report aims to convey key insights on how non-formal environmental education practices can strengthen gardening skills, environmental ethics, and sustainable food practices. These approaches have the potential to enhance the capacity of students toward sustainable transformations through encouraging them to be engaged with local social-environmental challenges. This paper adds new insights to the growing literature on non-formal environmental education, and it is hoped to inspire new educational approaches among sustainability educators.
Atila Calvente; Ali Kharrazi; Shogo Kudo; Paulo Savaget. Non-Formal Environmental Education in a Vulnerable Region: Insights from a 20-Year Long Engagement in Petrópolis, Rio de Janeiro, Brazil. Sustainability 2018, 10, 4247 .
AMA StyleAtila Calvente, Ali Kharrazi, Shogo Kudo, Paulo Savaget. Non-Formal Environmental Education in a Vulnerable Region: Insights from a 20-Year Long Engagement in Petrópolis, Rio de Janeiro, Brazil. Sustainability. 2018; 10 (11):4247.
Chicago/Turabian StyleAtila Calvente; Ali Kharrazi; Shogo Kudo; Paulo Savaget. 2018. "Non-Formal Environmental Education in a Vulnerable Region: Insights from a 20-Year Long Engagement in Petrópolis, Rio de Janeiro, Brazil." Sustainability 10, no. 11: 4247.
Ali Kharrazi; Tomohiro Akiyama; Masaru Yarime. Resilience Thinking and Sustainable Development. Encyclopedia of Sustainability in Higher Education 2018, 1 -4.
AMA StyleAli Kharrazi, Tomohiro Akiyama, Masaru Yarime. Resilience Thinking and Sustainable Development. Encyclopedia of Sustainability in Higher Education. 2018; ():1-4.
Chicago/Turabian StyleAli Kharrazi; Tomohiro Akiyama; Masaru Yarime. 2018. "Resilience Thinking and Sustainable Development." Encyclopedia of Sustainability in Higher Education , no. : 1-4.
(¿Qué hace que las tablas insumo-producto del comercio de mercancías de materia prima sean redes peculiares? Los casos mundial y mexicano)Objetivo: se examinan varias peculiaridades de las tablas de input-output (IOT) del comercio de materias primas cuando se tratan como redes. Metodología: dos IOTs de comercio de materias primas (mundial y México) se comparan con una red con distribución de escala y organización jerárquica (una base de datos de correos electrónicos) utilizando distintas centralidades y estadísticas de la teoría de grafos. Resultados: las IOTs son un tipo de gráfico muy particular debido a su idiosincrasia, para las cuales las medidas de estándar de gráficas no proporcionan resultados satisfactorios, y que deben adaptarse para dar un retrato fragmentado de toda la red. Recomendaciones: las herramientas analíticas de redes aplicadas a las IOTs mejoran la comprensión del comercio de materias primas, a nivel nacional como mundial, lo cual es útil en el diseño de la política comercial. Limitaciones: no se incluye la centralidad de caminata aleatoria ni cambios de régimen por shocks externos. Originalidad: es una contribución novedosa que resalta particularidades de las IOTs, vistas como redes, para México. Conclusiones: se encuentran importantes particularidades de las IOTs al compararlas con otras redes.
Katya Pérez-Guzmán; Isela-Elizabeth Téllez-León; Ali Kharrazi; Brian Fath; Francisco Venegas-Martínez; Mexico Instituto Politécnico Nacional. What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases. Revista Mexicana de Economía y Finanzas 2018, 13, 483 -505.
AMA StyleKatya Pérez-Guzmán, Isela-Elizabeth Téllez-León, Ali Kharrazi, Brian Fath, Francisco Venegas-Martínez, Mexico Instituto Politécnico Nacional. What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases. Revista Mexicana de Economía y Finanzas. 2018; 13 (4):483-505.
Chicago/Turabian StyleKatya Pérez-Guzmán; Isela-Elizabeth Téllez-León; Ali Kharrazi; Brian Fath; Francisco Venegas-Martínez; Mexico Instituto Politécnico Nacional. 2018. "What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases." Revista Mexicana de Economía y Finanzas 13, no. 4: 483-505.
This paper provides a critical literature overview of the foundations of the concepts of sustainability and sociotechnical systems change. This review covers the analysis of 182 scientific articles through a combination of bibliometric analysis, snowballing, content analysis and problematization. Our results identify and discuss 14 unique ontological and normative foundations shaping how we understand sociotechnical system change for sustainability. These influence both what system change is perceived as desirable and as attainable; as well as how to navigate between all the coexisting pathways, trade-offs, and complexities of the three dimensions of sustainability. By identifying the theoretical foundations, we illustrate the most up-to-date theoretical developments and concomitantly pinpoint a few opportunities for future contributions that improve, refute or complement them, hence shedding light on various research questions to develop the literature further.
Paulo Savaget; Martin Geissdoerfer; Ali Kharrazi; Steve Evans. The theoretical foundations of sociotechnical systems change for sustainability: A systematic literature review. Journal of Cleaner Production 2018, 206, 878 -892.
AMA StylePaulo Savaget, Martin Geissdoerfer, Ali Kharrazi, Steve Evans. The theoretical foundations of sociotechnical systems change for sustainability: A systematic literature review. Journal of Cleaner Production. 2018; 206 ():878-892.
Chicago/Turabian StylePaulo Savaget; Martin Geissdoerfer; Ali Kharrazi; Steve Evans. 2018. "The theoretical foundations of sociotechnical systems change for sustainability: A systematic literature review." Journal of Cleaner Production 206, no. : 878-892.
Desertification is a critical environmental problem in China’s northwestern region. In this context, since the early 2000s, projects targeting ecological restoration have been implemented in the lower reaches of the Heihe River basin. Using multi-scale remote sensing data and field observations, this paper examines the outcomes of the ecological restoration projects. Specifically, this paper examines the vegetation change through remote sensing and local perceptions of the projects through semi-structured questionnaires. The results from remote sensing reveal that during the restoration projects, vegetation coverage in riparian areas of the lower reaches of the Heihe River basin increased. However, this increase cannot be simply equated with ecological recovery. Expansion of farmland and afforested areas have also contributed to the increase in vegetation coverage. Questionnaire results reveal that although locals perceived improvements in the ecological conditions of the lower reaches, most of them were more about future environmental changes. Additionally, results indicate that ecological restoration projects redistributed water resources in the local river reaches and, as a result, local residents living in riparian areas perceive greater benefit. Therefore, the implementation of the project may have actually negatively impacted the water accessibility of those living in the drier Gobi Desert areas.
Tianyi Zhou; Tomohiro Akiyama; Masahide Horita; Ali Kharrazi; Steven Kraines; Jia Li; Ken Yoshikawa. The Impact of Ecological Restoration Projects in Dry Lands: Data-based Assessment and Human Perceptions in the Lower Reaches of Heihe River Basin, China. Sustainability 2018, 10, 1471 .
AMA StyleTianyi Zhou, Tomohiro Akiyama, Masahide Horita, Ali Kharrazi, Steven Kraines, Jia Li, Ken Yoshikawa. The Impact of Ecological Restoration Projects in Dry Lands: Data-based Assessment and Human Perceptions in the Lower Reaches of Heihe River Basin, China. Sustainability. 2018; 10 (5):1471.
Chicago/Turabian StyleTianyi Zhou; Tomohiro Akiyama; Masahide Horita; Ali Kharrazi; Steven Kraines; Jia Li; Ken Yoshikawa. 2018. "The Impact of Ecological Restoration Projects in Dry Lands: Data-based Assessment and Human Perceptions in the Lower Reaches of Heihe River Basin, China." Sustainability 10, no. 5: 1471.
The groundwater recharge mechanism in the hyper-arid Gobi Desert of Northwestern China was analyzed using water balance and tracer-based approaches. Investigations of evaporation, soil water content, and their relationships with individual rainfall events were conducted from April to August of 2004. Water sampling of rainwater, groundwater, and surface water was also conducted. During this period, 10 precipitation events with a total amount of 41.5 mm, including a maximum of 28.9 mm, were observed. Evaporation during the period was estimated to be 33.1 mm. Only the soil water, which was derived from the heaviest precipitation, remained in the vadose zone. This is because a dry surface layer, which was formed several days after the heaviest precipitation event, prevented evaporation. Prior to that, the heaviest precipitation rapidly infiltrated without being affected by evaporation. This is corroborated by the isotopic evidence that both the heaviest precipitation and the groundwater retained no trace of significant kinetic evaporation. Estimated δ-values of the remaining soil water based on isotopic fractionation and its mass balance theories also demonstrated no trace of kinetic fractionation in the infiltration process. Moreover, stable isotopic compositions of the heaviest precipitation and the groundwater were very similar. Therefore, we concluded that the high-intensity precipitation, which rapidly infiltrated without any trace of evaporation, was the main source of the groundwater.
Tomohiro Akiyama; Jumpei Kubota; Koji Fujita; Maki Tsujimura; Masayoshi Nakawo; Ram Avtar; Ali Kharrazi. Use of Water Balance and Tracer-Based Approaches to Monitor Groundwater Recharge in the Hyper-Arid Gobi Desert of Northwestern China. Environments 2018, 5, 55 .
AMA StyleTomohiro Akiyama, Jumpei Kubota, Koji Fujita, Maki Tsujimura, Masayoshi Nakawo, Ram Avtar, Ali Kharrazi. Use of Water Balance and Tracer-Based Approaches to Monitor Groundwater Recharge in the Hyper-Arid Gobi Desert of Northwestern China. Environments. 2018; 5 (5):55.
Chicago/Turabian StyleTomohiro Akiyama; Jumpei Kubota; Koji Fujita; Maki Tsujimura; Masayoshi Nakawo; Ram Avtar; Ali Kharrazi. 2018. "Use of Water Balance and Tracer-Based Approaches to Monitor Groundwater Recharge in the Hyper-Arid Gobi Desert of Northwestern China." Environments 5, no. 5: 55.
Chemical Oxygen Demand (COD) is a key indicator of pollutants in waste water from the agricultural, industrial and household sectors and its abatement has become a key requirement in China. However, the distribution of COD discharge and fresh water resources varies throughout China. Understanding the spatial pattern and factors influencing regional COD discharge in China is vital to efforts in reducing regional discharges. Towards this end, using a multi-regional input-output model (MRIO), this research quantifies the domestic COD footprints (CODF) for individual regions and their interactions in 2010. Our results reveal that China’s COD discharges were primarily from the agricultural sector, with a secondary contribution from the household sector. Of the 30 provinces studied, some eastern coastal provinces with large CODF, e.g., Shanghai, Tianjin and Jiangsu, were net interregional importers. The CODF per capita for the studied regions varied based on the final demand, lifestyle affluence, and availability of pollution-treatment infrastructure. The virtual COD flow patterns were divided into agricultural and industrial discharge, whereby the former flow transfers crossed long distances between the western and eastern regions of China. A comparison of the regional COD flows and their water resources characteristics suggests that Chinese policymakers should design and implement a holistic national plan to reduce the country’s total COD discharge based on supply- and demand-side responsibilities − especially in net exporter regions that lack fresh water. Furthermore, a reduction in the demand for pollution-intensive products and an increase in the demand-side reuse and recycling of resources is vital
Juan Wang; Lanlan Li; Fangyi Li; Ali Kharrazi; Yu Bai. Regional footprints and interregional interactions of chemical oxygen demand discharges in China. Resources, Conservation and Recycling 2018, 132, 386 -397.
AMA StyleJuan Wang, Lanlan Li, Fangyi Li, Ali Kharrazi, Yu Bai. Regional footprints and interregional interactions of chemical oxygen demand discharges in China. Resources, Conservation and Recycling. 2018; 132 ():386-397.
Chicago/Turabian StyleJuan Wang; Lanlan Li; Fangyi Li; Ali Kharrazi; Yu Bai. 2018. "Regional footprints and interregional interactions of chemical oxygen demand discharges in China." Resources, Conservation and Recycling 132, no. : 386-397.