Arid
DOI10.5194/hess-24-2323-2020
Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China
Song, Jian1,2; Yang, Yun3; Sun, Xiaomin4; Lin, Jin4; Wu, Ming5; Wu, Jianfeng1,2; Wu, Jichun1,2
通讯作者Wu, Jianfeng
来源期刊HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN1027-5606
EISSN1607-7938
出版年2020
卷号24期号:5页码:2323-2341
英文摘要In the arid inland basins of China, the long-term unregulated agricultural irrigation from surface water diversion and groundwater abstraction has caused the unsustainability of water resources and the degradation of ecosystems. This requires the integrated management of surface water (SW) and groundwater (GW) at basin scale to achieve scientific decisions which support sustainable water resource allocation in China. This study developed a novel multi-objective simulation-optimization (S-O) modeling framework. The optimization framework integrated a new epsilon multi-objective memetic algorithm (epsilon-MOMA) with a MODFLOW-NWT model to implement real-world decision-making for water resource management while pondering the complicated groundwater-lake-river interaction in an arid inland basin. Then the optimization technique was validated through the SW-GW management in Yanqi Basin (YB), a typical arid region with intensive agricultural irrigation in northwest China. The management model, involving the maximization of total water supply rate, groundwater storage, surface runoff inflow to the terminal lake, and the minimization of water delivery cost, was proposed to explore the trade-offs between socioeconomic and environmental factors. It is shown that the trade-off surface can be achieved in the four-dimensional objective space by optimizing spatial groundwater abstraction in the irrigation districts and surface water diversion in the river. The Pareto-optimal solutions avoid the prevalence of decision bias caused by the low-dimensional optimization formulation. Decision-makers are then able to identify their desired water management schemes with preferred objectives and achieve maximal socioeconomic and ecological benefits simultaneously. Moreover, three representative runoff scenarios in relation to climate change were specified to quantify the effect of decreasing river runoff on the water management in YB. Results show that runoff depletion would have a great negative impact on the management objectives. Therefore, the integrated SW and GW management is of critical importance for the fragile ecosystem in YB under changing climatic conditions.
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:000531871100001
WOS关键词KAIDU RIVER-BASIN ; EVOLUTIONARY ALGORITHMS ; TARIM RIVER ; GENETIC ALGORITHM ; DEEP UNCERTAINTY ; CLIMATE-CHANGE ; LOWER REACHES ; YANQI BASIN ; IRRIGATION ; MANAGEMENT
WOS类目Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Geology ; Water Resources
来源机构南京大学 ; 河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/319071
作者单位1.Minist Educ, Key Lab Surficial Geochem, Nanjing 210023, Peoples R China;
2.Nanjing Univ, Sch Earth Sci & Engn, Nanjing 210023, Peoples R China;
3.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China;
4.Nanjing Hydraul Res Inst, Natl Key Lab Water Resources & Hydraul Engn, Nanjing 210029, Peoples R China;
5.Jinan Univ, Inst Groundwater & Earth Sci, Guangzhou 510632, Peoples R China
推荐引用方式
GB/T 7714
Song, Jian,Yang, Yun,Sun, Xiaomin,et al. Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China[J]. 南京大学, 河海大学,2020,24(5):2323-2341.
APA Song, Jian.,Yang, Yun.,Sun, Xiaomin.,Lin, Jin.,Wu, Ming.,...&Wu, Jichun.(2020).Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China.HYDROLOGY AND EARTH SYSTEM SCIENCES,24(5),2323-2341.
MLA Song, Jian,et al."Basin-scale multi-objective simulation-optimization modeling for conjunctive use of surface water and groundwater in northwest China".HYDROLOGY AND EARTH SYSTEM SCIENCES 24.5(2020):2323-2341.
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