Arid
DOI10.3390/w11061185
A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis
Ma, Teng1; Wang, Jinwen1; Liu, Yi1,2,3,4; Sun, Huaiwei; Gui, Dongwei2,3,4; Xue, Jie2,3,4
通讯作者Wang, Jinwen ; Gui, Dongwei
来源期刊WATER
EISSN2073-4441
出版年2019
卷号11期号:6
英文摘要Optimization of irrigation well layout plays a vital role in the rational utilization of groundwater and to balance the water-energy nexus, especially in arid irrigation districts. This study proposes the mixed integer linear programming model (MILP) for well layout optimization with minimum well irrigation costs. This model efficiently establishes a link between irrigation area and wells to express the constraints of ensuring that irrigation area can be covered with optimal wells by using grid points to represent the irrigation area. It also uses the special ordered sets (SOS) modeling tool to decompose the mixed integer nonlinear programming into a mixed integer linear programming by assigning SOS-constrained weights to discrete points of a nonlinear function. This method was used in Cele Oasis of the Tarim Basin of the Xinjiang Province, an arid region in northwestern China. Since the original well layout was already established, different economic criteria like implicit cost and explicit cost were considered and two optimization results were yielded. The results showed that (1) the implicit cost optimization (ICO) and explicit cost optimization (ECO) reduced total costs by 7.64% and 3.56% compared with the condition of without optimization; and (2) the ICO and ECO reduced the optimal number of wells by 52.89% and 10.74% compared with the existing number of wells. Based on the analysis of the results, it is suggested that the manager should close uneconomical wells after determining the economic criteria. This method for well layout optimization can assist managers to make more rational plans for irrigation systems to exploit groundwater more efficiently, economically, and in a more environmentally friendly manner.
英文关键词well layout optimization well flow distribution mixed integer linear programming (MILP) special ordered sets (SOS) Oasis district
类型Article
语种英语
国家Peoples R China
开放获取类型Green Submitted, gold
收录类别SCI-E
WOS记录号WOS:000475346300073
WOS关键词RIVER-BASIN ; GROUNDWATER ; MANAGEMENT ; OPTIMIZATION ; NETWORK ; DESERT ; SYSTEM
WOS类目Environmental Sciences ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Water Resources
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/219212
作者单位1.Huazhong Univ Sci & Technol, Coll Hydropower & Informat Engn, Wuhan 430074, Hubei, Peoples R China;
2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China;
3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Cele Natl Stn Observat & Res Desert Grassland Eco, Urumqi 830011, Peoples R China;
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Ma, Teng,Wang, Jinwen,Liu, Yi,et al. A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis[J]. 中国科学院新疆生态与地理研究所,2019,11(6).
APA Ma, Teng,Wang, Jinwen,Liu, Yi,Sun, Huaiwei,Gui, Dongwei,&Xue, Jie.(2019).A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis.WATER,11(6).
MLA Ma, Teng,et al."A Mixed Integer Linear Programming Method for Optimizing Layout of Irrigated Pumping Well in Oasis".WATER 11.6(2019).
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