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A multi-objective optimization approach for harnessing rainwater in changing climate
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作者 Ling-Yu MENG Zhan TIAN +8 位作者 Dong-Li FAN Frans H.M.VAN DE VEN laixiang SUN Qing-Hua YE San-Xiang SUN Jun-Guo LIU Laura NOUGUES Daan ROOZE 《Advances in Climate Change Research》 SCIE 2024年第5期976-987,共12页
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... 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. 展开更多
关键词 Rainwater harvesting Rainwater resource utilization Climate change adaptation Multi-objective decision making Arid and semi-arid regions
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