首页|A multi-objective optimization approach for harnessing rainwater in changing climate

A multi-objective optimization approach for harnessing rainwater in changing climate

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
As the world grapples with the profound impacts of climate change,water scarcity has become a pressing issue.However,there is a shortage of in-depth research on the trade-offs between water resource dependence and the economic,ecological,and social needs of arid and semi-arid regions like Lanzhou,China.Flower cultivation in Lanzhou relies heavily on the Yellow River,often overlooking the potential of natural rainfall.Here we first calibrated a water balance model through artificial precipitation experiments in a Soil and Water Conservation Demonstration Park in Lanzhou.We then developed a multi-objective optimization model to balance the cost-benefit considerations of various plausible measures across economic,ecological,and social dimensions in the searching for solutions that are more adaptable to climate change and local devel-opment needs.Model simulations show that the solutions we designed can effectively manage water-shortage days,significantly reduce Yellow River water extraction,and improve cost-effectiveness,meeting 66％-80％of water needs for flower cultivation in the studied park.The findings highlight the potential of rainwater collection and utilization solutions to mitigate water scarcity in arid and semi-arid cities,thereby enriching water resource management.

Rainwater harvestingRainwater resource utilizationClimate change adaptationMulti-objective decision makingArid and semi-arid regions

Ling-Yu MENG、Zhan TIAN、Dong-Li FAN、Frans H.M.VAN DE VEN、Laixiang SUN、Qing-Hua YE、San-Xiang SUN、Jun-Guo LIU、Laura NOUGUES、Daan ROOZE

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School of Chemical and Environmental Engineering,Shanghai Institute of Technology,Shanghai 201418,China

Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China

Pengcheng Laboratory,Shenzhen 518000,China

Deltares,Delft 2629 HV,Netherlands

Water Management,Faculty of Civil Engineering and Geosciences,Delft University of Technology,Delft 2628 CN,Netherlands

Department of Geographical Sciences,University of Maryland,Maryland 20742,United States

School of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China

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2024

10.1016/j.accre.2024.08.006

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

影响因子：0.806
ISSN：1674-9278
年,卷(期)：2024.15(5)