Optimization Model of the Ecological Water Replenishment Scheme for Boluo Lake National Nature Reserve Based on Interval Two-Stage Stochastic Programming

In the present paper, an optimization model of the ecological water replenishment quantity of Boluo Lake wetland was constructed for ecological water replenishment in the Boluo Lake National Nature Reserve based on the interval two-stage stochastic programming (ITSP) method, which scientifically allocates the ecological water resources and enhances the utilization of flood resources in order to meet the minimum ecological water replenishment quantity requirement to meet the local economic and social water demand, to restore the wetland function of the reserve, and to improve the ecological environment. In addition, it considers the ecological service value of the reserve in order to achieve a shared increase in the ecological and economic benefits. The optimization model of the ecological water replenishment of Boluo Lake wetland considered the minimum ecological water replenishment as the objective function, while the water diversion capacity, water supply capacity, water diversion sequence, functional area, and ecological service value of the Lake bubble were utilized as constraints in order to restore the ecosystem function of the Boluo Lake National Nature Reserve. The results from the model revealed that the amount of ecological water replenishment was significantly reduced after optimization simulation, with the maximum reduction range in the ecological water replenishment being −100.00% and −74.58%. In addition, the total amount of flood diversion was significantly increased, and the flood resources could be fully utilized. Moreover, the recovery effect on the lake and pond functional areas was significant and compared much better to that prior to the ecological water replenishment, which was up to 2300.00% and 1987.59%. The ecological service value also increased significantly, and the rate of this increase was as high as 23.90% and 21.58%. In the present study, an optimization model was constructed for the ecological water replenishment of the Boluo Lake wetland supplement project based on the interval two-stage stochastic programming method, which would achieve the entire scope of ecological and economic benefits of the ecological water replenishment project by realizing the ecological system reconstruction and providing a feasible and reliable plan to the decision-makers.

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An inexact stochastic optimization model for multi-conflict regional water resources allocation in the south-to-north water benefited area

Journal of Hydroinformatics ◽

10.2166/hydro.2018.121 ◽

2018 ◽

Vol 20 (4) ◽

pp. 946-959 ◽

Cited By ~ 3

Author(s):

Fu Zhenghui ◽

Wang Yuqi ◽

Lu Wentao ◽

Zhao Haojin ◽

Liu Jiaju ◽

...

Keyword(s):

Water Resources ◽

Optimization Model ◽

Large Scale ◽

Optimal Allocation ◽

Water Pressure ◽

Water Sources ◽

Water Diversion ◽

Two Stage ◽

Water Diversion Project ◽

Regional Water

Abstract The cross-regional water diversion project has been widely applied as an important way to relieve water pressure. Study about the tradeoff between multiple regions and multiple water use sectors has caused widespread concern. In this study, an inexact two-stage water resources management model for multi-region water resources planning with a large-scale water diversion project has been developed. The water sources in 11 districts, including independent water sources and public water sources diverted from the project, are considered in the optimization model. Water supply cost and recourse cost are analyzed in the objective function. Based on interval-parameter programming and two-stage stochastic programming, uncertainties in the water resources system are described by both interval values and probability distributions. The result indicates that the water diversion project would greatly change the composition of the water resource system and settle the uneven distribution of regional water resources to achieve district-optimal allocation of water resources. In general, the proposed method can help decision-makers to formulate water management strategies for rational utilization of all kinds of water resources in different regions.

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An Interval Fuzzy, Double-Sided, Chance-Constrained Stochastic Programming Model for Planning the Ecological Service Value of Interconnected River Systems

Water ◽

10.3390/w12092649 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2649

Author(s):

Luze Yang ◽

Weiyi Cong ◽

Chong Meng ◽

Baofeng Cai ◽

Miao Liu

Keyword(s):

Water Resources ◽

High Flow ◽

Jilin Province ◽

Water Diversion ◽

Western Region ◽

Service Value ◽

Water Surface Area ◽

Ecological Service ◽

Marsh Wetland ◽

Initial Scheme

The western region of Jilin Province is an ecologically fragile area with scarce water resources. The effective allocation of the limited water resources in order to obtain a higher ecological service value is an urgent requirement. In this paper, an interval fuzzy, double-sided chance-constrained, stochastic programming (IFDCP) model was used based on the interconnected river system network project in the western Jilin Province. With the objective of maximizing the value of regional ecological services, the water diversion and supplement schemes were optimized and adjusted. The model results showed that the restored water surface area of all lakes and ponds in the western region of Jilin Province was higher than the initially planned scheme in the high flow year. The water surface area fulfilled the minimum constraints, but did not fulfill the initial scheme in the normal flow year. In the low flow year, the lower limit of some of the regions had to be decreased in order to meet the allocation of the limited water resources. The proportion of floodwater resource utilization gradually increased with an increase in the flood amount. The ecological service value produced in the normal and high flow years was found to be higher than the initial scheme. The marsh wetland can produce higher ecological service value. Therefore, the core of the model optimization was introducing more water to the marsh wetland after fulfilling the basic consumption of ponds and the reed wetland. In addition, the IFDCP model was more flexible in water diversion and supplement as compared to other models that had been developed previously.

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An Interval Two-Stage Stochastic Programming Model for Flood Resources Allocation under Ecological Benefits as a Constraint Combined with Ecological Compensation Concept

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16061033 ◽

2019 ◽

Vol 16 (6) ◽

pp. 1033 ◽

Cited By ~ 5

Author(s):

Yu Qiu ◽

Yuan Liu ◽

Yang Liu ◽

Yingzi Chen ◽

Yu Li

Keyword(s):

Water Resources ◽

Stochastic Programming ◽

Water Supply ◽

Nature Reserve ◽

Jilin Province ◽

Low Flow ◽

Ecological Compensation ◽

Two Stage ◽

Allocation Model ◽

Ecological Benefits

The Momoge National Nature Reserve (MNNR) is located at the intersection of Nenjiang and Taoer Rivers in Baicheng City, Jilin Province, where the Taoer River is the main source of water for the nature reserve. However, due to the construction of the water control project in the upper reaches of the Taoer River, the MNNR has been in a state of water shortage for a long time. To guarantee the wetland function of the nature reserve, the government planned to carry out normal and flood water supply from Nenjiang River through the West Water Supply Project of Jilin Province. Therefore, how to improve the utilization of flood resources effectively has become one of the key issues of ecological compensation for the MNNR. In this paper, a flood resources optimal allocation model that is based on the interval two-stage stochastic programming method was constructed, and the corresponding flood resource availability in different flow scenarios of Nenjiang River were included in the total water resources to improve their utilization. The results showed that the proportion of flood resources that were used in the MNNR after optimization was more than 70% under different flow scenarios, among which the proportion of flood resources under a low-flow scenario reached 77%, which was 23% higher than the proposed increase. In addition, the ecological benefits of low, medium, and high flow levels reached the range of 26.30 (106 CNY) to 32.14(106 CNY), 28.21(106 CNY) to 34.49(106 CNY) and 29.41(106 CNY) to 35.94(106 CNY), respectively. According to the results, flood resources significantly reduce the utilization of normal water resources, which can be an effective supplement to the ecological compensation of nature reserves and provide a basis for the distribution of transit flood resources in other regions.

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Ecological Compensation Standard of a Water-Receiving Area in an Inter-Basin Water Diversion Based on Ecosystem Service Value and Public Willingness: A Case Study of Beijing

Sustainability ◽

10.3390/su13095236 ◽

2021 ◽

Vol 13 (9) ◽

pp. 5236

Author(s):

Zhuoyue Peng ◽

Hao Wu ◽

Maohua Ding ◽

Min Li ◽

Xi Huang ◽

...

Keyword(s):

Willingness To Pay ◽

Ecosystem Service ◽

Water Diversion ◽

Ecosystem Service Value ◽

Ecological Compensation ◽

Service Value ◽

Ecological Service ◽

Compensation Mechanisms ◽

Compensation Standard ◽

Basin Water

Ecological compensation has recently gained significant attention as an economic incentive promoting natural resource management. However, there remain several challenges to its application. A key issue is the lack of a method clearly define the standard of ecological compensation. This study established an accounting methodology for the ecological compensation standard for the water-receiving area in an inter-basin water diversion in China. Beijing, a major water-receiving area of the South-to-North Water Diversion Project, was used as an example of the application of this approach. First, the evaluation index of ecosystem service value of the water-receiving area was selected, then, emergy theory was used to calculate the increment of ecological service value based on the characteristics of each indicator. The ecological service value due to the project was calculated to be 3.898 billion RMB, while the willingness-to-pay by the public was estimated at 915 million RMB. Therefore, the increment of ecological service value was the highest standard of compensation, and the public’s willingness-to-pay was the lower limit of ecological compensation. The final compensation standard can be determined through negotiation between suppliers and beneficiaries under the leadership of relevant governments and water-transfer authorities. Thus, this study aimed to provide a scientific basis for the construction of diversified ecological compensation mechanisms and promote sustainable development of the region.

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A multi-objective water trading optimization model for Henan Province's water-receiving area in the Middle Route of China's South-to-North Water Diversion Project

Water Policy ◽

10.2166/wp.2019.184 ◽

2019 ◽

Vol 21 (4) ◽

pp. 693-707

Author(s):

M. Dou ◽

J. Zhang ◽

G. Li ◽

P. Zhao

Keyword(s):

Optimization Model ◽

Water Shortage ◽

Economic Benefits ◽

Henan Province ◽

Water Diversion ◽

Optimal Scheme ◽

Multi Objective ◽

Water Trading ◽

Water Diversion Project ◽

North Water

Abstract Water trading is an effective method for solving regional water shortage problems and addressing the uneven spatiotemporal distribution of water resources. Therefore, taking the Middle Route of China's South-to-North Water Diversion Project (MR-SNWDP) as the research object, we present a study on a feasible water trading scheme in the water-receiving area of Henan Province. First, the tradable water of each calculation unit in the water-receiving area was calculated by analyzing the water-saving potential of different industries. Second, a multi-objective optimization model for trading water between different regions was developed, taking the largest social and economic benefits of the water-receiving area as the objective function. Finally, non-dominated sorting genetic algorithms were used to solve this optimization model, and an optimal scheme for water trading was proposed. The simulated results of the optimal scheme indicate that the total water shortage of the water-receiving areas will decrease by 650.69 million m3, and there will be a surplus of 14.98 million m3 of water, and the gross national product will increase by RMB 130.5 billion at a rate of 5.2%. This demonstrates that the water-receiving areas of Henan Province can effectively alleviate local water shortages by trading water without increasing external water supplies.

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Application of an Interval Two-Stage Robust (ITSR) Optimization Model for Optimization of Water Resource Distribution in the Yinma River Basin, Jilin Province, China

Water ◽

10.3390/w12102910 ◽

2020 ◽

Vol 12 (10) ◽

pp. 2910

Author(s):

Wei He ◽

Luze Yang ◽

Minghao Li ◽

Chong Meng ◽

Yu Li

Keyword(s):

Water Resources ◽

River Basin ◽

Water Use ◽

Water Resource ◽

Low Income ◽

Optimization Model ◽

Resource Distribution ◽

Water Shortage ◽

Economic Benefits ◽

Two Stage

The present study is based on the application of an interval two-stage stochastic programming (ITSP) model in the Yinma River Basin. A robust method based on interval two-stage robust (ITSR) optimization is introduced to construct an optimization model of water resource distribution in order to solve the problems of water shortage in low-income and high-income areas caused by the unreasonable distribution of water resources. The model would help in reducing the system risk in the Yinma River Basin caused by an excessive pursuit of economic benefits. The model simulations show that the amount of water required for the water resource distribution is significantly reduced after balancing the risks and the water resource distribution of the water use departments is reduced by up to 20%. In addition, the situation of water scarcity of various water use departments shows a decreasing trend. There is no scarcity of water use in Panshi, Yongji, Shuangyang and Jiutai areas. The water shortage of water use departments in other areas is reduced by up to 97%. The allocation of reused water to ecological and environmental departments with higher water demand further solved the water shortage problem in low-income departments in the interval-two-stage planning model. In this study, after the introduction of the robust optimization method in the Yinma River Basin, the stability of the water resources distribution system is significantly improved. In addition, the risk of water use system in the interval-two-stage stochastic model can be avoided.

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