An inexact-stochastic dual water supply programming model

Zhang, X.H.; Zhang, H.W.; Chen, B.; Guo, Hao; Chen, G.Q.; Zhao, Baining

doi:10.1016/j.cnsns.2007.05.027

Cited by 15 publications

(3 citation statements)

References 18 publications

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“…In recent years, rapid economic development and urbanization coupled with a growing population, poor water resource management, and uneven spatial distribution have increased the frequency and severity of water-related crises in China. − As a sector with high water intensity, Chinese agriculture has a large share of water consumption, accounting for 73.8% of the total water use in 2011. − Accordingly, a clear understanding of water consumption for agriculture is essential to addressing current water problems and formulating water resource policy in China. However, the government has generally taken a purely national perspective to managing domestic water resources, with the goal of using domestic water supply to meet the final demand. − Under the backdrop of globalization, international trade has created a linkage of water resource utilization among different countries, providing an opportunity for countries with scarce water resources to meet their water demand by importing water-intensive products . As a result, conventional water resource accounting should be broadened to account for water embodied in a nation’s imports and exports.…”

Section: Introductionmentioning

confidence: 99%

Driving Force Analysis of the Agricultural Water Footprint in China Based on the LMDI Method

Zhao

Chen

2014

Environ. Sci. Technol.

155

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China's water scarcity problems have become more severe because of the unprecedented economic development and population explosion. Considering agriculture's large share of water consumption, obtaining a clear understanding of Chinese agricultural consumptive water use plays a key role in addressing China's water resource stress and providing appropriate water mitigation policies. We account for the Chinese agricultural water footprint from 1990 to 2009 based on bottom up approach. Then, the underlying driving forces are decomposed into diet structure effect, efficiency effect, economic activity effect, and population effect, and analyzed by applying a log-mean Divisia index (LMDI) model. The results reveal that the Chinese agricultural water footprint has risen from the 94.1 Gm3 in 1990 to 141 Gm3 in 2009. The economic activity effect is the largest positive contributor to promoting the water footprint growth, followed by the population effect and diet structure effect. Although water efficiency improvement as a significant negative effect has reduced overall water footprint, the water footprint decline from water efficiency improvement cannot compensate for the huge increase from the three positive driving factors. The combination of water efficiency improvement and dietary structure adjustment is the most effective approach for controlling the Chinese agricultural water footprint's further growth.

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Section: Introductionmentioning

confidence: 99%

Driving Force Analysis of the Agricultural Water Footprint in China Based on the LMDI Method

Zhao

Chen

2014

Environ. Sci. Technol.

155

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“…ILP method presented by Huang [2,3] and had been used in nonrenewable energy sources plan [4] and dual water supply system plan [5].…”

Section: A Setting Up Ilmop Modelmentioning

confidence: 99%

ILMOP Approach for Optimal Eco-campus Energy Sources System Structure

Zhang

Deng³

et al. 2008

2008 International Seminar on Business and Information Management

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The paper analyzed the present energy sources situation in China, and put forward an Inexact Linear MultiObjective-Program (ILMOP) approach for eco-campus energy sources system based on the characters analysis of eco-campus system. The ILMOP model objective in the least of economic cost and maximum of eco-environmental efficiency, while limited of capital available and every kinds of energy supply capacity. Then a corresponding information management system was set up to give support to information dating, model solving, designs forming and evaluating, and the optimal mode selected. Finally, the approach was used in Tianjin Polytechnic university energy system plan. The plan ranged from 2008 to 2016 and was separated into three phases. Through the scenarios analysis based on ILMOP solutions, three phase's different energy rate was decided respectively, while the investment design was obtained. The case showed the method is a feasible support to campus sustainable development for setting a good example to the whole society.

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“…Previously, a large number of modeling approaches based on stochastic mathematical programming (SMP) were advanced for allocating and managing water resources in more effective and sustainable ways [6][7][8][9][10][11][12][13][14]. For example, Watkins Jr et al [15] proposed a scenario-based multistage stochastic programming model for planning water supplies from highland lakes.…”

Section: Introductionmentioning

confidence: 99%

Development of Optimal Water-Resources Management Strategies for Kaidu-Kongque Watershed under Multiple Uncertainties

Zhou

Huang

et al. 2013

Mathematical Problems in Engineering

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In this study, an interval-stochastic fractile optimization (ISFO) model is advanced for developing optimal water-resources management strategies under multiple uncertainties. The ISFO model can not only handle uncertainties presented in terms of probability distributions and intervals with possibility distribution boundary, but also quantify subjective information (i.e., expected system benefit preference and risk-averse attitude) from different decision makers. The ISFO model is then applied to a real case of water-resources systems planning in Kaidu-kongque watershed, China, and a number of scenarios with different ecological water-allocation policies under variedp-necessity fractiles are analyzed. Results indicate that different policies for ecological water allocation can lead to varied water supplies, economic penalties, and system benefits. The solutions obtained can help decision makers identify optimized water-allocation alternatives, alleviate the water supply-demand conflict, and achieve socioeconomic and ecological sustainability, particularly when limited water resources are available for multiple competing users.

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An inexact-stochastic dual water supply programming model

Cited by 15 publications

References 18 publications

Driving Force Analysis of the Agricultural Water Footprint in China Based on the LMDI Method

Driving Force Analysis of the Agricultural Water Footprint in China Based on the LMDI Method

ILMOP Approach for Optimal Eco-campus Energy Sources System Structure

Development of Optimal Water-Resources Management Strategies for Kaidu-Kongque Watershed under Multiple Uncertainties

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