شناسایی ساختار بهینه کشاورزی
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شناسایی ساختار بهینه کشاورزی

عنوان فارسی مقاله: شناسایی ساختار بهینه کشاورزی و اندازه جمعیت در یک حوضه آبخیز مخزن بر اساس ظرفیت حمل اکولوژیکی آب تحت عدم قطعیت
عنوان انگلیسی مقاله: Identification of the optimal agricultural structure and population size in a reservoir watershed based on the water ecological carrying capacity under uncertainty
مجله/کنفرانس: مجله تولید پاک – Journal of Cleaner Production
رشته های تحصیلی مرتبط: مهندسی کشاورزی، مهندسی محیط زیست، مهندسی آب
گرایش های تحصیلی مرتبط: آب و فاضلاب
کلمات کلیدی فارسی: برنامه ریزی فازی ناقص، برنامه ریزی مخلوط عدد صحیح، صادرات جهانی مواد مغذی از حوضه های آبخیزداری، ظرفیت حمل اکولوژیکی آب، ساختار کشاورزی
کلمات کلیدی انگلیسی: Inexact fuzzy programming، Mixed-integer programming، Global nutrient export from watersheds، Water ecological carrying capacity، Agricultural structure
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.jclepro.2019.06.179
دانشگاه: Research Center for Eco-environmental Engineering, Dongguan University of Technology, Dongguan, 523808, China
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 7.096 در سال 2018
شاخص H_index: 150 در سال 2019
شاخص SJR: 1.620 در سال 2018
شناسه ISSN: 0959-6526
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 13
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: دارد
کد محصول: E12898
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


1. Introduction


2. Methodology


3. Case study


4. Results and discussion


5. Conclusions


Acknowledgements


References

نمونه متن انگلیسی مقاله

Abstract


The optimal agricultural structure and population size within typical watersheds needs to be identified based on the water ecological carrying capacity (WECC). However, real-world systems of water ecological management are complicated as multiple uncertainties exist in the system parameters, which need some effective optimization methods to deal with. This research presents an inexact simulation-based fuzzy credibility-constrained mixed-integer programming (ISFCCMIP) model. Through integrating interval linear programming, fuzzy credibility-constrained programming, mixed-integer programming, global nutrient export from watersheds, and the KirchnereDillon model within a general framework, the developed ISFCCMIP model can effectively deal with the multiple uncertainties in the simulation and optimization processes of water ecological management systems. The developed ISFCCMIP model is applied to a real-world case study in the Xinfengjiang Reservoir Watershed. Results show that the total population that can be carried by the watershed WECC would decrease from [204885, 412367] to [121235, 271280], when the credibility level increases from 0.55 to 0.95. On the contrary, the total agricultural benefit would increase from [3.72, 5.06]  ۱۰۸ to [3.75, 5.10]  ۱۰۸ $. The total population in the base year far exceeds the watershed WECC. Although the total agricultural benefit in the base year is between the upper and lower bounds of the optimized results, the agricultural structure is not reasonable and needs to be adjusted. Concurrently, multiple results on the optimal agricultural structure and population size are obtained under different credibility levels and in different carrying capacity scenarios. Such results can provide a series of decision alternatives for watershed policy makers to consider the tradeoff between socio-economic development and water ecological protection. The results also assist the sustainable development of the Xinfengjiang Reservoir Watershed. The proposed model is effective for the optimal management of agricultural structure and population size within a reservoir watershed based on the WECC under multiple uncertainties. It also provides a reference for other areas with similar concerns.


Introduction


The aquatic ecosystem plays an important role in the sustainable development of the economy, society, and environment (Englert et al., 2013; He et al., 2018; Li et al., 2016; Reckendorfer et al., 2013). However, with the rapid growth of the social economy in recent years, the aquatic ecosystem has been subjected to intensive and large-scale human activities (ShabanzadehKhoshrody et al., 2016). The total consumption and development intensity of water resources, as well as emission loads of water pollution, have increased, leading to a series of consequences, such as water resource shortages, environment deterioration, and ecological degradation (Jing et al., 2015; Matios and Burney, 2017; Wang et al., 2015; Xu et al., 2017). Such consequences have placed great pressure on aquatic ecosystems and seriously affected the sustainable utilization of their service functions (Ren et al., 2013; Zhang et al., 2017). Therefore, socio-economic activity within a watershed should simultaneously consider water quantity and quality conditions, and these considerations must be based on the water ecological carrying capacity (WECC) (Wang et al., 2014; Zhang et al., 2014). In particular, agricultural industry development and frequent human activities can lead to an increase in water consumption and release of nutrients (e.g., nitrogen and phosphorus, N and P) from watersheds to water bodies downstream, which might further result in insufficient ecological flow and water eutrophication (Rong et al., 2018; Rudnick et al., 2017; Zhang et al., 2015, 2018). It is therefore important to conduct research on the identification of the optimal agricultural structure and population size within typical watersheds based on the WECC. This will help restrain the water ecological deterioration, protect the ecosystem service function, and promote the sustainable development of the socio-economic environment.

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