کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7481752 1485251 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spatial optimization of watershed management practices for nitrogen load reduction using a modeling-optimization framework
ترجمه فارسی عنوان
بهینه سازی فضایی شیوه های مدیریت آبخیزداری برای کاهش بار نیتروژن با استفاده از چارچوب بهینه سازی مدل سازی
کلمات کلیدی
بهترین شیوه های مدیریت، بارگیری نیتروژن، ترمیم تالاب، نوار های بافر، بهینه سازی چند هدفه، الگوریتم ژنتیک، مدلسازی بهینه سازی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Best management practices (BMPs) can be used effectively to reduce nutrient loads transported from non-point sources to receiving water bodies. However, methodologies of BMP selection and placement in a cost-effective way are needed to assist watershed management planners and stakeholders. We developed a novel modeling-optimization framework that can be used to find cost-effective solutions of BMP placement to attain nutrient load reduction targets. This was accomplished by integrating a GIS-based BMP siting method, a WQM-TMDL-N modeling approach to estimate total nitrogen (TN) loading, and a multi-objective optimization algorithm. Wetland restoration and buffer strip implementation were the two BMP categories used to explore the performance of this framework, both differing greatly in complexity of spatial analysis for site identification. Minimizing TN load and BMP cost were the two objective functions for the optimization process. The performance of this framework was demonstrated in the Tippecanoe River watershed, Indiana, USA. Optimized scenario-based load reduction indicated that the wetland subset selected by the minimum scenario had the greatest N removal efficiency. Buffer strips were more effective for load removal than wetlands. The optimized solutions provided a range of trade-offs between the two objective functions for both BMPs. This framework can be expanded conveniently to a regional scale because the NHDPlus catchment serves as its spatial computational unit. The present study demonstrated the potential of this framework to find cost-effective solutions to meet a water quality target, such as a 20% TN load reduction, under different conditions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Environmental Management - Volume 161, 15 September 2015, Pages 252-260
نویسندگان
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