A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China
The potential influence of natural variations in a climate system on global warming can change the hydrological cycle and threaten current strategies of water management. A simulation-based linear fractional programming (SLFP) model, which integrates a runoff simulation model (RSM) into a linear fra...
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doaj-35b5d9d3bd8e47c09e4392017e60d94d2020-11-25T00:45:53ZengMDPI AGWater2073-44412018-05-0110562710.3390/w10050627w10050627A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, ChinaQiang Fu0Linqi Li1Mo Li2Tianxiao Li3Dong Liu4Song Cui5School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaSchool of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, ChinaThe potential influence of natural variations in a climate system on global warming can change the hydrological cycle and threaten current strategies of water management. A simulation-based linear fractional programming (SLFP) model, which integrates a runoff simulation model (RSM) into a linear fractional programming (LFP) framework, is developed for optimal water resource planning. The SLFP model has multiple objectives such as benefit maximization and water supply minimization, balancing water conflicts among various water demand sectors, and addressing complexities of water resource allocation system. Lingo and Excel programming solutions were used to solve the model. Water resources in the main stream basin of the Songhua River are allocated for 4 water demand sectors in 8 regions during two planning periods under different scenarios. Results show that the increase or decrease of water supply to the domestic sector is related to the change in population density at different regions in different target years. In 2030, the water allocation in the industrial sector decreased by 1.03–3.52% compared with that in 2020, while the water allocation in the environmental sector increased by 0.12–1.29%. Agricultural water supply accounts for 54.79–77.68% of total water supply in different regions. These changes in water resource allocation for various sectors were affected by different scenarios in 2020; however, water resource allocation for each sector was relatively stable under different scenarios in 2030. These results suggest that the developed SLFP model can help to improve the adjustment of water use structure and water utilization efficiency.http://www.mdpi.com/2073-4441/10/5/627water resources optimal allocationlinear fractional simulation programmingscenario analysisclimate change |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qiang Fu Linqi Li Mo Li Tianxiao Li Dong Liu Song Cui |
spellingShingle |
Qiang Fu Linqi Li Mo Li Tianxiao Li Dong Liu Song Cui A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China Water water resources optimal allocation linear fractional simulation programming scenario analysis climate change |
author_facet |
Qiang Fu Linqi Li Mo Li Tianxiao Li Dong Liu Song Cui |
author_sort |
Qiang Fu |
title |
A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China |
title_short |
A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China |
title_full |
A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China |
title_fullStr |
A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China |
title_full_unstemmed |
A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of The Songhua River Basin, China |
title_sort |
simulation-based linear fractional programming model for adaptable water allocation planning in the main stream of the songhua river basin, china |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2018-05-01 |
description |
The potential influence of natural variations in a climate system on global warming can change the hydrological cycle and threaten current strategies of water management. A simulation-based linear fractional programming (SLFP) model, which integrates a runoff simulation model (RSM) into a linear fractional programming (LFP) framework, is developed for optimal water resource planning. The SLFP model has multiple objectives such as benefit maximization and water supply minimization, balancing water conflicts among various water demand sectors, and addressing complexities of water resource allocation system. Lingo and Excel programming solutions were used to solve the model. Water resources in the main stream basin of the Songhua River are allocated for 4 water demand sectors in 8 regions during two planning periods under different scenarios. Results show that the increase or decrease of water supply to the domestic sector is related to the change in population density at different regions in different target years. In 2030, the water allocation in the industrial sector decreased by 1.03–3.52% compared with that in 2020, while the water allocation in the environmental sector increased by 0.12–1.29%. Agricultural water supply accounts for 54.79–77.68% of total water supply in different regions. These changes in water resource allocation for various sectors were affected by different scenarios in 2020; however, water resource allocation for each sector was relatively stable under different scenarios in 2030. These results suggest that the developed SLFP model can help to improve the adjustment of water use structure and water utilization efficiency. |
topic |
water resources optimal allocation linear fractional simulation programming scenario analysis climate change |
url |
http://www.mdpi.com/2073-4441/10/5/627 |
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