Multi-objective double layer water optimal allocation and scheduling framework combing the integrated surface water – groundwater model

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-07-24 DOI:10.1016/j.watres.2024.122141
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Abstract

Balancing the water consumption of agricultural and ecological is the key point of sustainable social and economic development in an inland river basin. The growth of desert riparian forests in inland river basins mainly depends on a certain phreatic water table depth (PWTD). The main object of this study was to allocate and schedule water resources to regulate the PWTD and satisfy agricultural water demand. Therefore, a multi-objective double layer optimal allocation and scheduling framework based on the computationally efficient integrated surface water-groundwater model (ISGWM), which can simulate the surface water processes, groundwater recharge and discharge processes, and PWTD changes, was constructed and applied to the mainstream of Tarim River Basin (TRB). The top layer model of the framework is an optimal ecological water allocation model, and its optimal allocation results are used as the initial solution of the bottom layer model. The results show that under 5 different inflow frequencies, the agricultural water shortage rate is 0, 17.38 %, 17.41 %, 14.06 %, and 19.94 %, respectively. The PWTD regulation has a great performance. After the optimal scheduling, the proportions of good growth of the control area behind the gate under different inflow frequencies were 98.18 %, 98.18 %, 98.18 %, 90.91 %, and 94.55 %. Agricultural water shortage is mainly due to the non-uniformity distribution of intra-annual inflow and the lack of controlling hydraulic engineering. The regulation of PWTD can guarantee the growth of desert riparian forests on both sides of the mainstream of TRB. Besides, we explored the feasibility of exploiting groundwater to supplement agricultural water consumption. The groundwater exploitation should be controlled within the scope of not causing excessive increase of PWTD (difference between PWTD and target depth <1 m), due to the groundwater exploitation to supplement agricultural water will lead to the increase of PWTD. Overall, this framework, which regulates the PWTD with the change of ecological water supply based on the ISGWM, provides a new idea for the allocation and scheduling of agricultural and ecological water resources in arid inland river basins. It also provides a new method for the coupled cooperative operation of surface water and groundwater.

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结合地表水-地下水综合模型的多目标双层水优化分配与调度框架
平衡农业用水和生态用水是内陆河流域社会经济可持续发展的关键。内陆河流域荒漠河岸林的生长主要取决于一定的地下水位深度()。本研究的主要目标是分配和调度水资源,以调节和满足农业用水需求。因此,构建了基于计算高效的地表水-地下水综合模型()的多目标双层优化分配和调度框架,该框架可模拟地表水过程、地下水补给和排放过程及其变化,并将其应用于塔里木河流域(TRB)的主流。该框架的顶层模型为最优生态水分配模型,其最优分配结果作为底层模型的初始解。结果表明,在 5 种不同的入流频率下,农业缺水率分别为 0、17.38%、17.41%、14.06% 和 19.94%。调节效果很好。优化调度后,不同流入频率下闸后控制区长势良好的比例分别为 98.18%、98.18%、98.18%、90.91% 和 94.55%。农业缺水的主要原因是年内涵水量分布不均匀和缺乏控制性水利工程。通过调节,可以保证 TRB 主流两侧荒漠河岸林的生长。此外,我们还探讨了利用地下水补充农业用水的可行性。由于开采地下水补充农业用水会导致Ⅴ类水量的增加,因此地下水开采应控制在不造成Ⅴ类水量过度增加(与目标水深之差小于 1m)的范围内。 总体而言,该框架以Ⅴ类水量为基础,随着生态供水量的变化对Ⅴ类水量进行调控,为干旱内陆河流域农业和生态水资源的配置和调度提供了新思路。它还为地表水和地下水的耦合协同运行提供了一种新方法。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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