Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China

Davidsen, Claus; Pereira-Cardenal, Silvio; Liu, Suxia; Mo, Xingguo; Rosbjerg, Dan; Bauer‐Gottwein, Peter

doi:10.1061/(asce)wr.1943-5452.0000482

Cited by 44 publications

(37 citation statements)

References 22 publications

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“…Davidsen et al (2015) formalized the management problem as a simplified optimization as illustrated in Fig. 2A with water users in three sectors irrigated agriculture, domestic and industries, upstream and downstream of a central reservoir.…”

Section: Case Study Areamentioning

confidence: 99%

“…This study builds on previous efforts to solve complex water management problems in China on the basis of rational economic decisions (Davidsen et al, 2015, submitted for publication). In Davidsen et al (2015) an integrated hydroeconomic optimization approach was used to solve a water allocation problem.…”

Section: Introductionmentioning

confidence: 99%

“…In Davidsen et al (2015) an integrated hydroeconomic optimization approach was used to solve a water allocation problem. A variant of SDP known as the water value method (Stedinger et al, 1984) was used to guide long term sustainable management of the water resources.…”

Section: Introductionmentioning

confidence: 99%

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Hydroeconomic optimization of reservoir management under downstream water quality constraints

Davidsen

Liu

et al. 2015

Journal of Hydrology

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Keywords:Integrated water resources management (IWRM) Hydroeconomic modeling Stochastic dynamic programming (SDP) Water quality management Water value River basin s u m m a r y A hydroeconomic optimization approach is used to guide water management in a Chinese river basin with the objectives of meeting water quantity and water quality constraints, in line with the China 2011 No. 1 Policy Document and 2015 Ten-point Water Plan. The proposed modeling framework couples water quantity and water quality management and minimizes the total costs over a planning period assuming stochastic future runoff. The outcome includes cost-optimal reservoir releases, groundwater pumping, water allocation, wastewater treatments and water curtailments. The optimization model uses a variant of stochastic dynamic programming known as the water value method. Nonlinearity arising from the water quality constraints is handled with an effective hybrid method combining genetic algorithms and linear programming. Untreated pollutant loads are represented by biochemical oxygen demand (BOD), and the resulting minimum dissolved oxygen (DO) concentration is computed with the Streeter-Phelps equation and constrained to match Chinese water quality targets. The baseline water scarcity and operational costs are estimated to 15.6 billion CNY/year. Compliance to water quality grade III causes a relatively low increase to 16.4 billion CNY/year. Dilution plays an important role and increases the share of surface water allocations to users situated furthest downstream in the system. The modeling framework generates decision rules that result in the economically efficient strategy for complying with both water quantity and water quality constraints.

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Section: Case Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydroeconomic optimization of reservoir management under downstream water quality constraints

Davidsen

Liu

et al. 2015

Journal of Hydrology

Self Cite

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“…Water scarcity has become the bottleneck of sustainable development in China [3,4]. An effective water resources management program should ensure the balance of supply and demand in water allocation, improve water quality and aquatic environment, and promote economic and socially sustainable development [5].…”

Section: Introductionmentioning

confidence: 99%

Exploration of an Optimal Policy for Water Resources Management Including the Introduction of Advanced Sewage Treatment Technologies in Zaozhuang City, China

Yan

Sha

et al. 2016

Water

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Water shortage and water pollution are important factors restricting sustainable social and economic development. As a typical coal resource-exhausted city and a node city of the South-to-North Water Transfer East Route Project in China, Zaozhuang City's water resources management faces multiple constraints such as transformation of economic development, restriction of groundwater exploitation, and improvement of water environment. In this paper, we develop a linear optimization model by input-output analysis to study water resources management with the introduction of three advanced sewage treatment technologies for pollutant treatment and reclaimed water production. The simulation results showed that from 2014 to 2020, Zaozhuang City will realize an annual GDP growth rate of 7.1% with an annual chemical oxygen demand (COD) emissions reduction rate of 5.5%. The proportion of primary industry, secondary industry, and tertiary industry would be adjusted to 5.6%, 40.8%, and 53.6%, respectively. The amount of reclaimed water supply could be increased by 91% and groundwater supply could be decreased by 6%. Based on the simulation, this model proposes a scientific reference on water resources management policies, including water environment control, water supply plan, and financial subsidy, to realize the sustainable development of economy and water resources usage.

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“…Previously, many uncertain analysis approaches were developed for dealing with watershed-scale water resource management issues, including stochastic mathematical programming (SMP) [3][4][5][6][7], fuzzy mathematical programming (FMP) [8][9][10][11] and interval mathematical programming (IMP) [12,13], as well as their combinations [14][15][16][17][18]. Among them, stochastic chance-constrained programming (SCCP) was extensively applied in water resource management due to its capacity in evaluating the trade-offs between realization of system objectives and satisfaction degrees of model constraints [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Multi-Objective Chance-Constrained Programming Model for Water Supply Management in Xiaoqing River Watershed

Ding

2017

Water

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Abstract:In this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and total system cost, respectively. The traditional SCCP model required the random variables to be expressed in the normal distributions, although their statistical characteristics were suitably reflected by other forms. The SMOCCP model allows the random variables to be expressed in log-normal distributions, rather than general normal form. Possible solution deviation caused by irrational parameter assumption was avoided and the feasibility and accuracy of generated solutions were ensured. The water supply system in the Xiaoqing River watershed was used as a study case for demonstration. Under the context of various weight combinations and probabilistic levels, many types of solutions are obtained, which are expressed as a series of transferred amounts from water sources to treated plants, from treated plants to reservoirs, as well as from reservoirs to tributaries. It is concluded that the SMOCCP model could reflect the sketch of the studied region and generate desired water supply schemes under complex uncertainties. The successful application of the proposed model is expected to be a good example for water resource management in other watersheds.

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Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China

Cited by 44 publications

References 22 publications

Hydroeconomic optimization of reservoir management under downstream water quality constraints

Hydroeconomic optimization of reservoir management under downstream water quality constraints

Exploration of an Optimal Policy for Water Resources Management Including the Introduction of Advanced Sewage Treatment Technologies in Zaozhuang City, China

A Stochastic Multi-Objective Chance-Constrained Programming Model for Water Supply Management in Xiaoqing River Watershed

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