دانلود مقاله ISI انگلیسی شماره 48014
ترجمه فارسی عنوان مقاله

مدل تخصیص بهینه چندهدفه منابع آب آبیاری تحت عدم قطعیت های متعدد

عنوان انگلیسی
A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
48014 2014 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Mathematical Modelling, Volume 38, Issues 19–20, 1 October 2014, Pages 4897–4911

ترجمه کلمات کلیدی
منابع آب آبیاری؛ تخصیص بهینه؛ برنامه ریزی چند هدفه؛ عدم قطعیت های متعدد
کلمات کلیدی انگلیسی
Irrigation water resources; Optimal allocation; Multi-objective programming; Multiple uncertainties
پیش نمایش مقاله
پیش نمایش مقاله  مدل تخصیص بهینه چندهدفه منابع آب آبیاری تحت عدم قطعیت های متعدد

چکیده انگلیسی

This paper proposed a multi-objective optimal water resources allocation model under multiple uncertainties. The proposed model integrated the chance-constrained programming, semi-infinite programming and integer programming into an interval linear programming. Then, the developed model is applied to irrigation water resources optimal allocation system in Minqin’s irrigation areas, Gansu Province, China. In this study, the irrigation areas’ economic benefits, social benefits and ecological benefits are regarded as the optimal objective functions. As a result, the optimal irrigation water resources allocation plans of different water types (surface water and groundwater) under different hydrological years (wet year, normal year and dry year) and probabilities are obtained. The proposed multi-objective model is unique by considering water-saving measures, irrigation water quality impact factors and the dynamic changes of groundwater exploitable quantity in the irrigation water resources optimal allocation system under uncertain environment. The obtained results are valuable for supporting the adjustment of the existing irrigation patterns and identify a desired water-allocation plan for irrigation under multiple uncertainties.