摘要
随着全球气候变化和人类活动的影响,以冰川融雪为主要补给来源的内陆河径流序列发生了明显变化,预测未来气候变化下内陆河流域径流变化对区域水灾害防治和水资源合理利用具有重大意义。构建分解模拟优化重构模型与多模式集合平均(MME)的8种GCMs数据耦合,预测分析玛纳斯河流域2024—2030年在不同气候情景下的径流响应特征。结果表明:Model.VLE模型在径流模拟阶段R^(2)>0.86且TPE<0.28,其模拟误差最小、稳定性最优;历史时期GCMs数据经过空间降尺度、偏差矫正和Model.VLE模型耦合的径流模拟效果最优,能够为径流预测提供可靠结果;玛纳斯河流域未来(2024—2030年)径流来水偏丰较历史时期(2000—2014年)有显著增加趋势,未来年径流变化与未来气温和降水相关,3种气候情景下未来(2024—2030年)径流无显著差异。
The runoff series of inland rivers with glacier melt as the main supply source has changed significantly with the influence of global climate change and human activities.Predicting the runoff change of inland river basins under future climate change is of great significance for regional water disaster prevention and rational utilization of water resources.A decomposing,simulation-optimization-reconstruction model was constructed and coupled with eight kinds of GCMs data from the multi-model ensemble Average(MME)to predict and analyze the runoff response characteristics in the Manas River Basin under different climate scenarios from 2024 to 2030.The results show that R^(2)>0.86 and TPE<0.28 in the runoff simulation stage of the Model.VLE Model has the smallest simulation error and the best stability.The runoff simulation effect of GCMs data through spatial downscaling,deviation correction,and Model.VLE Model coupling is the best in the historical period,which can provide reliable results for runoff prediction.Compared with the historical period(2000-2014),the runoff water abundance in the Manas River Basin in the future(2024-2030)has a significant increase trend,and the future annual runoff change is related to the future temperature and precipitation,and there is no significant difference in the future runoff under the three climate scenarios(2024-2030).
作者
梁文翔
骆震
陈伏龙
王统霞
安杰
龙爱华
何朝飞
LIANG Wenxiang;LUO Zhen;CHEN Fulong;WANG Tongxia;AN Jie;LONG Aihua;HE Chaofei(School of Hydraulic Engineering,Shihezi University,Shihezi 832000,China;Key Laboratory of Ecological Hydraulic Engineering Corps in Cold and Arid Areas,Shihezi 832000,China;Xinjiang Corps Survey and Design Institute Group Co.,Ltd.,Xi’an 710000,China;State Key Laboratory of Basin Water Cycle Simulation and Regulation,China Institute of Water Resources and Hydropower Research,Beijing 100038,China)
出处
《地学前缘》
EI
CAS
CSCD
北大核心
2024年第6期450-461,共12页
Earth Science Frontiers
基金
国家自然科学基金项目(52169005)
新疆兵团科技创新人才计划项目(2023CB008-08)
南疆重点产业创新发展支撑计划项目(2022DB024)
2023年新疆维吾尔自治区研究生创新计划项目。
