Pub Date : 2021-12-22DOI: 10.52547/envs.2021.222630.1078
Salah Mafakheri, H. Veisi, K. Khoshbakht, M. Nazari
{"title":"Evaluation of water- energy- food nexus in agricultural products of Dehgolan County","authors":"Salah Mafakheri, H. Veisi, K. Khoshbakht, M. Nazari","doi":"10.52547/envs.2021.222630.1078","DOIUrl":"https://doi.org/10.52547/envs.2021.222630.1078","url":null,"abstract":"","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75451854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.52547/envs.2021.37016
hamzeh saeediyan, Hamidreza Moradi
Interactive effect of slope aspect and rainfall intensity on soil permeability compared to acidic rainfalls. Environmental Sciences. 19(4): 131-144 sensitivity to soil permeability compared to acid rains. However, the Gachsaran formation showed uniformity changes compared to acidic precipitation and showed positive effects on slope aspect and rain intensity and interactive effect of slope aspect and rain intensity in almost all three concentrations. In addition, by increasing the amount of soil permeated with acid rains, the amount of soil porosity increased, this case was due to this type of contamination on the main ingredients of soil and washing soil bonds. Of course, slope aspect different amounts of clays in both Aghajari and Gachsaran formations, is more influenced by soil permeability than acidic precipitations. The existence of different organic matter in the main aspects of the slopes, especially in the northern and eastern slope aspects, creates a more complex situation in electrical charge changes, which necessitates further research to understand this complex mechanism. Conclusion: In general, by increasing the acidic degree and increasing the penetration time, soil properties were changed, including the resistance characteristics and bearing capacity of the soil, which in turn, due to the amount of clay and different organic matter, caused more influence of acidic precipitation on soil permeability.
{"title":"Interactive effect of slope aspect and rainfall intensity on soil permeability compared to acidic rainfalls","authors":"hamzeh saeediyan, Hamidreza Moradi","doi":"10.52547/envs.2021.37016","DOIUrl":"https://doi.org/10.52547/envs.2021.37016","url":null,"abstract":"Interactive effect of slope aspect and rainfall intensity on soil permeability compared to acidic rainfalls. Environmental Sciences. 19(4): 131-144 sensitivity to soil permeability compared to acid rains. However, the Gachsaran formation showed uniformity changes compared to acidic precipitation and showed positive effects on slope aspect and rain intensity and interactive effect of slope aspect and rain intensity in almost all three concentrations. In addition, by increasing the amount of soil permeated with acid rains, the amount of soil porosity increased, this case was due to this type of contamination on the main ingredients of soil and washing soil bonds. Of course, slope aspect different amounts of clays in both Aghajari and Gachsaran formations, is more influenced by soil permeability than acidic precipitations. The existence of different organic matter in the main aspects of the slopes, especially in the northern and eastern slope aspects, creates a more complex situation in electrical charge changes, which necessitates further research to understand this complex mechanism. Conclusion: In general, by increasing the acidic degree and increasing the penetration time, soil properties were changed, including the resistance characteristics and bearing capacity of the soil, which in turn, due to the amount of clay and different organic matter, caused more influence of acidic precipitation on soil permeability.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73334426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City. 145-164. was in the very poor barren lands and rangeland, which reached 49.8% in 2004. Horticultural and irrigated agriculture land use and mountainous land use decreased by 1.2 and 1.5%, respectively, in 2004 compared to 1993. The land-use area of residential and non-residential construction and barren lands have continued to increase in 2019. The area of these land uses increased by 1.1 and 2.4%, respectively. Finally, it can be said that from 1993 to 2019, horticultural, agricultural, mountainous, and rangeland uses have been transformed into residential and non-residential construction uses and barren lands. This land conversion has negative consequences for the region's future. Conclusion: In this study, it was found that the automatic cell model and Markov chain have a high ability to predict future land-use changes. Also, the largest increase in land use was related to residential and non-residential construction and barren lands, and other land uses such as garden lands and irrigated and mountainous agriculture. Rangeland experienced a decrease in area in the region. Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently.
{"title":"Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City","authors":"Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi","doi":"10.52547/envs.2021.36712","DOIUrl":"https://doi.org/10.52547/envs.2021.36712","url":null,"abstract":"Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City. 145-164. was in the very poor barren lands and rangeland, which reached 49.8% in 2004. Horticultural and irrigated agriculture land use and mountainous land use decreased by 1.2 and 1.5%, respectively, in 2004 compared to 1993. The land-use area of residential and non-residential construction and barren lands have continued to increase in 2019. The area of these land uses increased by 1.1 and 2.4%, respectively. Finally, it can be said that from 1993 to 2019, horticultural, agricultural, mountainous, and rangeland uses have been transformed into residential and non-residential construction uses and barren lands. This land conversion has negative consequences for the region's future. Conclusion: In this study, it was found that the automatic cell model and Markov chain have a high ability to predict future land-use changes. Also, the largest increase in land use was related to residential and non-residential construction and barren lands, and other land uses such as garden lands and irrigated and mountainous agriculture. Rangeland experienced a decrease in area in the region. Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81792795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-22DOI: 10.52547/envs.2021.36900
Omid Ashkriz, B. Mirbagheri, A. Matkan, A. Shakiba
Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis). Environmental Sciences. 19(4): 183-204. Results and discussion: The results showed that the random forest algorithm with the area under the ROC curve of 0.9228 compared to the support vector machine and multilayer perceptron neural network algorithms with 0.8951 and 0.8726, respectively, had a better performance in estimating the change potential of non-urban to urban areas. Furthermore, in comparison with others, the random forest also clearly showed local variations in potential change. Finally, the growth of Tabriz city was simulated using the cellular automata model based on the obtained change potential maps. Comparison of the prediction map in the validation period with the current situation of urban areas in 2015 showed that the accuracy of an urban growth simulation model based on random forest with a Figure of Merit index of 0.3569 compared to models based on support vector machine and artificial neural network was more accurate in allocating non-urban to urban lands with 0.3496 and 0.3434, respectively. Conclusion: As machine learning algorithms such as artificial neural networks, support vector machines, and random forest are capable of solving non-linear problems, using them is strongly recommended for urban growth simulation. Also, among the algorithms used in this research, the random forest algorithm based on ensemble learning has a higher advantage than the two-support vector machine and the artificial neural network algorithms.
{"title":"Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis)","authors":"Omid Ashkriz, B. Mirbagheri, A. Matkan, A. Shakiba","doi":"10.52547/envs.2021.36900","DOIUrl":"https://doi.org/10.52547/envs.2021.36900","url":null,"abstract":"Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis). Environmental Sciences. 19(4): 183-204. Results and discussion: The results showed that the random forest algorithm with the area under the ROC curve of 0.9228 compared to the support vector machine and multilayer perceptron neural network algorithms with 0.8951 and 0.8726, respectively, had a better performance in estimating the change potential of non-urban to urban areas. Furthermore, in comparison with others, the random forest also clearly showed local variations in potential change. Finally, the growth of Tabriz city was simulated using the cellular automata model based on the obtained change potential maps. Comparison of the prediction map in the validation period with the current situation of urban areas in 2015 showed that the accuracy of an urban growth simulation model based on random forest with a Figure of Merit index of 0.3569 compared to models based on support vector machine and artificial neural network was more accurate in allocating non-urban to urban lands with 0.3496 and 0.3434, respectively. Conclusion: As machine learning algorithms such as artificial neural networks, support vector machines, and random forest are capable of solving non-linear problems, using them is strongly recommended for urban growth simulation. Also, among the algorithms used in this research, the random forest algorithm based on ensemble learning has a higher advantage than the two-support vector machine and the artificial neural network algorithms.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83095256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
زمینه و هدف: کیسههای پلاستیکی رایگان مزایایی عملی برای مصرفکنندگان دارد اما بدلیل اینکه دیرتجزیهپذیر بودن و افزودنیهای آن تاثیرات نامطلوبی بر محیط زیست میگذارد. لذا در این مطالعه عوامل موثر بر قصد و رفتار افراد برای استفاده از کیسههای پلاستیکی با نظریه رفتار برنامهریزی شده و مدلسازی ساختاری مورد بررسی قرار گرفت.روش بررسی: تعداد کل 360 مشتری در 7 هایپرمارکت بزرگ در مناطق مختلف کلان شهر مشهد به سوالات پرسشنامه پاسخ دادند. دادههای بدست آمده با نرم افزار IBM SPSS Statistic 22 و AMOS 24 تجزیه و تحلیل شدند. مدل توسعهیافتهای بر اساس نظریه رفتار برنامهریزی شده با متغیرهای نگرش شناختی، نگرش موثر، انگیزه اقتصادی، فیدبک، هنجار ذهنی، کنترل رفتاری، قصد و رفتار معرفی شد تا عوامل موثر بر رفتار کاهش استفاده از کیسههای پلاستیکی را تعیین کند. یافتهها: نتایج این مطالعه نشان داد که بیش از نیمی از پاسخ دهندهگان به پرسشنامه ها، زن بودند و بیش از 30 درصد آنها در رده سنی 25-35 سال قرار داشتند. تاثیر اطلاعات دموگرافی بر قصد کاهش استفاده از کیسههای پلاستیکی در هایپرمارکتها با آزمون آنوا مورد بررسی قرار گرفت. تنها سن (p 0.05) بر روی قصد برای انجام رفتار دارد. هنجار با ضریب 41/0 تاثیر مثبت و معناداری (p < 0.001) بر روی قصد برای انجام رفتار دارد.نتیجهگیری: پارامترهای اصلی نظریه رفتار برنامهریزی شده ( نگرش، هنجار ذهنی و کنترل رفتاری ) به طور معنیداری قصد کاهش استفاده از کیسههای پلاستیکی را توصیف میکنند. افزودن متغیرهای جدید مانند فیدبک و انگیزه اقتصادی به این نظریه، کمک به سایر پیشبینیکنندههای رفتار تعیین شود. هنجار از مهمترین متغیرهای است که تاثیر سایر فاکتورها مانند نگرش شناختی، نگرش موثر، انگیزه اقتصادی، فیدبک، و کنترل رفتاری بر قصد کاهش مصرف کیسههای پلاستیکی را میانجی میکنند. اگر چه انگیزه اقتصادی بر کاهش تمایل برای استفاده از کیسههای پلاستیکی مجانی تاثیر دارد، اما شایسته است که رویکرد مداخلهای بر اساس مدل ارائه شده در این مطالعه، برای یافتن راهحل استفاده شود.
{"title":"Investigation of psychological factors affecting the behavior of reducing the use of plastic bags (Case study: Hypermarkets in Mashhad)","authors":"آوا حیدری, نگار فلاحی, انسیه صابری, پرنیان هادیان, اسما آذری, یگانه هروی, نگار حسنی, علیرضا خوراکیان","doi":"10.52547/ENVS.2021.34135","DOIUrl":"https://doi.org/10.52547/ENVS.2021.34135","url":null,"abstract":"زمینه و هدف: کیسههای پلاستیکی رایگان مزایایی عملی برای مصرفکنندگان دارد اما بدلیل اینکه دیرتجزیهپذیر بودن و افزودنیهای آن تاثیرات نامطلوبی بر محیط زیست میگذارد. لذا در این مطالعه عوامل موثر بر قصد و رفتار افراد برای استفاده از کیسههای پلاستیکی با نظریه رفتار برنامهریزی شده و مدلسازی ساختاری مورد بررسی قرار گرفت.روش بررسی: تعداد کل 360 مشتری در 7 هایپرمارکت بزرگ در مناطق مختلف کلان شهر مشهد به سوالات پرسشنامه پاسخ دادند. دادههای بدست آمده با نرم افزار IBM SPSS Statistic 22 و AMOS 24 تجزیه و تحلیل شدند. مدل توسعهیافتهای بر اساس نظریه رفتار برنامهریزی شده با متغیرهای نگرش شناختی، نگرش موثر، انگیزه اقتصادی، فیدبک، هنجار ذهنی، کنترل رفتاری، قصد و رفتار معرفی شد تا عوامل موثر بر رفتار کاهش استفاده از کیسههای پلاستیکی را تعیین کند. یافتهها: نتایج این مطالعه نشان داد که بیش از نیمی از پاسخ دهندهگان به پرسشنامه ها، زن بودند و بیش از 30 درصد آنها در رده سنی 25-35 سال قرار داشتند. تاثیر اطلاعات دموگرافی بر قصد کاهش استفاده از کیسههای پلاستیکی در هایپرمارکتها با آزمون آنوا مورد بررسی قرار گرفت. تنها سن (p 0.05) بر روی قصد برای انجام رفتار دارد. هنجار با ضریب 41/0 تاثیر مثبت و معناداری (p < 0.001) بر روی قصد برای انجام رفتار دارد.نتیجهگیری: پارامترهای اصلی نظریه رفتار برنامهریزی شده ( نگرش، هنجار ذهنی و کنترل رفتاری ) به طور معنیداری قصد کاهش استفاده از کیسههای پلاستیکی را توصیف میکنند. افزودن متغیرهای جدید مانند فیدبک و انگیزه اقتصادی به این نظریه، کمک به سایر پیشبینیکنندههای رفتار تعیین شود. هنجار از مهمترین متغیرهای است که تاثیر سایر فاکتورها مانند نگرش شناختی، نگرش موثر، انگیزه اقتصادی، فیدبک، و کنترل رفتاری بر قصد کاهش مصرف کیسههای پلاستیکی را میانجی میکنند. اگر چه انگیزه اقتصادی بر کاهش تمایل برای استفاده از کیسههای پلاستیکی مجانی تاثیر دارد، اما شایسته است که رویکرد مداخلهای بر اساس مدل ارائه شده در این مطالعه، برای یافتن راهحل استفاده شود.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80832514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Rahmati, M. Gholamalifard, A. Gholamhosseini, S. M. Ghasempouri
Distribution modeling of the hybrid sister taxa in red-headed bunting and black-headed bunting, Order Passeriformes. Environmental Science. 19 (4): 269-286. According to the results, it can be acknowledged that the area of suitable habitats for Embriza melanocephala species in the west was less than today, which according to studies, internal and climatic factors were effective in moving both species and hybridization area to the west. The results indicate decreasing habitat suitability for the studied species in both periods (the last ice age until now and now until 2050). Conclusion: Understanding the factors influencing the suitability of wildlife habitats is essential. Some changes due to rapid ecosystem manipulation are seen in the new distribution of birds. In general, wildlife planning and conservation strategies should monitor the factors affecting habitats and maintain and manage these factors in order to prevent biodiversity loss.
{"title":"Distribution modeling of the hybrid sister taxa in red-headed bunting and black-headed bunting, Order Passeriformes","authors":"S. Rahmati, M. Gholamalifard, A. Gholamhosseini, S. M. Ghasempouri","doi":"10.52547/envs.2021.1016","DOIUrl":"https://doi.org/10.52547/envs.2021.1016","url":null,"abstract":"Distribution modeling of the hybrid sister taxa in red-headed bunting and black-headed bunting, Order Passeriformes. Environmental Science. 19 (4): 269-286. According to the results, it can be acknowledged that the area of suitable habitats for Embriza melanocephala species in the west was less than today, which according to studies, internal and climatic factors were effective in moving both species and hybridization area to the west. The results indicate decreasing habitat suitability for the studied species in both periods (the last ice age until now and now until 2050). Conclusion: Understanding the factors influencing the suitability of wildlife habitats is essential. Some changes due to rapid ecosystem manipulation are seen in the new distribution of birds. In general, wildlife planning and conservation strategies should monitor the factors affecting habitats and maintain and manage these factors in order to prevent biodiversity loss.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90616167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
and Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices. Environmental Sciences. 19(4): 225-248. the according to the of changes obtained from the used indicators and their correlation with changes in the these values were estimated at 921 hectares, with areas covered by halophyte changing to 445 hectares and halophyte to 476 hectares. Conclusion: The results of the study indicate the onset of the highest stresses in the plant ecosystem of the region and the simultaneous decline in leaf cover and NDVI with the water intake of Gotvand Dam since 2011. This coincidence, which is due to the salinity of the water of Gotvand Dam Lake and consequently Karun River, has a significant effect on increasing salinity and changes in soil quality of the region and thus increasing halophyte plants as well as high vegetation degradation in the region. These conditions can create more serious challenges for the ecosystem of this area and in the long period change the ecosystem and vegetation cover of this region to halophyte plants.
{"title":"Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices","authors":"M. Sharif, S. Hamzeh","doi":"10.52547/envs.2021.1014","DOIUrl":"https://doi.org/10.52547/envs.2021.1014","url":null,"abstract":"and Investigating the effect of Gotvand Dam on changes in soil salinity and vegetation cover of downstream lands of the dam using satellite imagery and spectral indices. Environmental Sciences. 19(4): 225-248. the according to the of changes obtained from the used indicators and their correlation with changes in the these values were estimated at 921 hectares, with areas covered by halophyte changing to 445 hectares and halophyte to 476 hectares. Conclusion: The results of the study indicate the onset of the highest stresses in the plant ecosystem of the region and the simultaneous decline in leaf cover and NDVI with the water intake of Gotvand Dam since 2011. This coincidence, which is due to the salinity of the water of Gotvand Dam Lake and consequently Karun River, has a significant effect on increasing salinity and changes in soil quality of the region and thus increasing halophyte plants as well as high vegetation degradation in the region. These conditions can create more serious challenges for the ecosystem of this area and in the long period change the ecosystem and vegetation cover of this region to halophyte plants.","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90644087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.52547/envs.2021.35822
I. Islami, Hossein Sarvi Sadrabad, Hasan Tabatabaei, M. Rahmani
{"title":"Investigating the effectiveness of education with the aim of developing participatory communication in conservation: A study of Qanat water supply system in Khezrabad, Yazd","authors":"I. Islami, Hossein Sarvi Sadrabad, Hasan Tabatabaei, M. Rahmani","doi":"10.52547/envs.2021.35822","DOIUrl":"https://doi.org/10.52547/envs.2021.35822","url":null,"abstract":"","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80249229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.52547/envs.2021.36082
Mohammad Reza Afshoon, N. Mehrdadi
{"title":"Quantitative and qualitative study of acid mine drainage (AMD) in Sungun copper mine tailings dump with emphasis on its refineability","authors":"Mohammad Reza Afshoon, N. Mehrdadi","doi":"10.52547/envs.2021.36082","DOIUrl":"https://doi.org/10.52547/envs.2021.36082","url":null,"abstract":"","PeriodicalId":11919,"journal":{"name":"Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78778444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-23DOI: 10.52547/envs.2021.36368
M. Chehrehei, Seyed Alireza Mirza Hosseini, N. Mansouri, Y. Rashidi, M. Behzadi
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