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Sharafi Zeynab Ehrampoush Mohammad Hassan Salehi-Abargouei Amin Sakhvidi Mohammad Javad Zare Askarishahi Mohsen Mirzaei Masoud Mehrparvar Amir Houshang Fallahzadeh Hossein Dehghani Ali Dalvand Arash 《Environmental science and pollution research international》2021,28(32):43394-43401
Environmental Science and Pollution Research - This study aimed to investigate the effect of exposure to pesticides and the prevalence of type 2 diabetes (T2D). In a cross-sectional study with a... 相似文献
22.
Ebrahimzade Hossein Khayati Gholam Reza Schaffie Mahin 《Journal of Material Cycles and Waste Management》2021,23(6):2218-2231
Journal of Material Cycles and Waste Management - Modeling of leaching process as a function of operational variables can specify an accurate perspective in the forecasting of valuable... 相似文献
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Kazemi Mohammad Hossein Majnooni-Heris Abolfazl Kisi Ozgur Shiri Jalal 《Environmental science and pollution research international》2021,28(6):6520-6532
Environmental Science and Pollution Research - Adopting methodologies utilizing exogenous data from ancillary stations for determining crop water requirement is a suitable approach to exempt local... 相似文献
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Incipient deposition of sediment in rigid boundary open channels 总被引:1,自引:0,他引:1
Mir Jafar Sadegh Safari Hafzullah Aksoy Mirali Mohammadi 《Environmental Fluid Mechanics》2015,15(5):1053-1068
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Amir Noori Hossein Bonakdari Khosro Morovati Bahram Gharabaghi 《The Environmentalist》2018,38(4):471-488
The complex and controversial task of selecting a dam site in a river basin can be successfully achieved using science-informed multi-criteria decision-making (MCDM) techniques. In this paper, we describe the application of the group fuzzy TOPSIS model for optimal ranking of the case study of Kandoleh dam sites in Kermanshah province, Iran, involving 18 input criteria. In this study, decision-making committee was made up of 20 involved decision makers. The comments of four non-biased, external experts in dam site selection were also used. The triangular fuzzy numbers were used to apply experts’ opinions on the selection criteria. In total, four alternative sites were assessed based on the technical, economic, social and environmental considerations and the data were analyzed using fuzzy TOPSIS MCDM model. Ranking results were compared with multi-criteria decision-making models, including the ELimination and Choice Expressing the REality and simple additive weighting. This logical, open and transparent framework provides a science-informed decision-making approach for complex problems such as optimal dam site selection. Finally, using sensitivity analysis, local studies and group discussions, we demonstrated the multiple benefits of the proposed novel method for a science-informed, open and transparent method for optimal ranking of the dam site candidates. 相似文献
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Ghalandari Mona Amirkhan Mohammad Amoozad-Khalili Hossein 《Environmental science and pollution research international》2023,30(1):451-476
Environmental Science and Pollution Research - Considering supply chain efficiency during the network design process significantly affect chain performance improvement. In this paper, the design... 相似文献
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Hossein Karami Romina Sayahnia Hossein Mahmoudi Hossein Azadi Sadegh Salehi 《Natural resources forum》2023,47(1):60-86
Urbanization and mass movement of the population from rural areas and small cities to megacities have led to environmental, economic, and social problems in Iran. In dealing with these challenges, assessing resource and environmental carrying capacity (RECC) is considered an effective method to leverage space and capital to achieve sustainable development. This study aimed to rank the provincial RECC in Iran. Toward this purpose, environmental indices were generated from remotely sensed and statistical census data. Then, the provinces were scored in terms of environmental, economic, and infrastructural carrying capacities, and RECC using the mean variance analysis method. Results demonstrated that in most areas, there is no relationship between economic and infrastructural capacities and development. Statistically, a correlation coefficient of −0.53 between economic and environmental carrying capacities indicated excessive use of environmental capacities. Moreover, the spatial distribution pattern of environmental, economic, and infrastructural carrying capacity was entirely heterogeneous between the provinces; there was a northeast–southwest pattern in terms of infrastructural capacity and an economic pattern from north to south. The distribution pattern of RECC is most consistent with the environmental capacity, pointing at the high weight of the indicators of the RECC model. In conclusion, this research offers a new vision for policymakers and provides a theoretical and applicable framework for implementing sustainable strategies in land-use planning. It is recommended that the RECC concept and tools can be used not only for planning but also for measuring the efficiency of spatial development programs and establishing land balances in the region. 相似文献