[1]Long Yuannan,Zhang Yulin,Jiang Changbo,et al.Study on Runoff Response of Zishui Basin Under Climate Change Based on CMIP6[J].Research of Soil and Water Conservation,2024,31(04):114-125.[doi:10.13869/j.cnki.rswc.2024.04.010]
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Study on Runoff Response of Zishui Basin Under Climate Change Based on CMIP6

References:
[1]IPCC. Climate Change 2021:The physical science basis[M]. Cambridge:Cambridge University Press, 2021.
[2]商放泽,王可昳,黄跃飞,等.基于Budyko假设的三江源径流变化特性及量化分离[J].同济大学学报:自然科学版,2020,48(2):305-316.
Shang F Z, Wang K Y, Huang Y F, et al. Variation characteristics of runoff and the quantitative separation based on Budyko hypothesis in the Three-River Headwaters region[J]. Journal of Tongji University:Natural Science, 2020,48(2):305-316.
[3]Zhao Q D, Ding Y J, Wang J, et al. Projecting climate change impacts on hydrological processes on the Tibetan Plateau with model calibration against the glacier inventory data and observed streamflow[J]. Journal of Hydrology, 2019,573:60-81.
[4]王慧,肖登攀,赵彦茜,等.基于CMIP6气候模式的华北平原极端气温指数评估和预测[J].地理与地理信息科学,2021,37(5):86-94,142.
Wang H, Xiao D P, Zhao Y X, et al. Evaluation and projection of extreme temperature indices in the North China Plain based on CMIP6 models[J]. Geography and Geo-Information Science, 2021,37(5):86-94,142.
[5]张丹,梁瀚续,何小聪,等.基于CMIP6的金沙江流域径流及水文干旱预估[J].水资源保护,2023,39(6):53-62.
Zhang D, Liang H X, He X C, et al. Projections of runoff and hydrological drought in the Jinsha River Basin based on CMIP6[J]. Water Resources Protection, 2023,39(6):53-62.
[6]姜彤,吕嫣冉,黄金龙,等.CMIP6模式新情景(SSP-RCP)概述及其在淮河流域的应用[J].气象科技进展,2020,10(5):102-109.
Jiang T, Lü Y R, Huang J L, et al. New scenarios of CMIP6 model(SSP-RCP)and its application in the Huaihe River Basin[J]. Advances in Meteorological Science and Technology, 2020,10(5):102-109.
[7]周天军,邹立维,陈晓龙.第六次国际耦合模式比较计划(CMIP6)评述[J].气候变化研究进展,2019,15(5):445-456.
Zhou T J, Zou L W, Chen X L. Commentary on the coupled model intercomparison project phase 6(CMIP6)[J]. Climate Change Research, 2019,15(5):445-456.
[8]Adachi S A, Tomita H. Methodology of the constraint condition in dynamical downscaling for regional climate evaluation:A review[J]. Journal of Geophysical Research:Atmospheres, 2020,125(11):e2019JD032166.
[9]徐宗学,姜瑶.变化环境下的径流演变与影响研究:回顾与展望[J].水利水运工程学报,2022(1):9-18.
Xu Z X, Jiang Y. Studies on runoff evolution mechanism under changing environment:A state-of-the-art review[J]. Hydro-Science and Engineering, 2022(1):9-18.
[10]董立俊.雅砻江流域径流对未来气候变化的时空响应研究[D].湖北宜昌:三峡大学,2020.
Dong L J. Spatiotemporal Response of Runoff to Climate Change in Yalongjiang River Basin[D].Yichang, Hubei:China Three Gorges University, 2020.
[11]李彤,胡国华,顾庆福,等.近55年来降水及人类活动对资水流域径流的影响[J].水文,2018,38(6):54-58,88.
Li T, Hu G H, Gu Q F, et al. Impact of precipitation and human activities on runoff in Zishui River in recent 55 years[J]. Journal of China Hydrology, 2018,38(6):54-58,88.
[12]李兵,文强,章新平,等.湖南省资水流域汛期暴雨气候特征分析[J].灌溉排水学报,2020,39(12):136-144.
Li B, Wen Q, Zhang X P, et al. Characteristic analysis of the heavy rains during monsoon season in Zishui Basin of Hunan Province[J]. Journal of Irrigation and Drainage, 2020,39(12):136-144.
[13]虞美秀,刘小龙,邱巍,等.资水流域短期/长期综合干旱指数的构建与应用[J].水资源与水工程学报,2015,26(3):65-71.
Yu M X, Liu X L, Qiu W, et al. Development and application of composited drought index in short and long term at Zishui River Basin[J]. Journal of Water Resources and Water Engineering, 2015,26(3):65-71.
[14]张爱玲,王韶伟,汪萍,等.基于SWAT模型的资水流域径流模拟[J].水文,2017,37(5):38-42,26.
Zhang A L, Wang S W, Wang P, et al. Runoff simulation of Zishui Basin based on SWAT model[J]. Journal of China Hydrology, 2017,37(5):38-42,26.
[15]李兵,章新平,杨令,等.湖南省资水流域极端降水量时空变异特征及重现期极端降水量的推算[J].灌溉排水学报,2019,38(11):117-128.
Li B, Zhang X P, Yang L, et al. Spatial and temporal evolutionary characteristics of extreme precipitation and it's estimation for certain return period in Hunan Zishui River Basin[J]. Journal of Irrigation and Drainage, 2019,38(11):117-128.
[16]侯婷娟,高耶.湖南资水水沙变化特征及成因分析[J].水利水电快报,2018,39(12):11-13,48.
Hou T J, Gao Y. Analysis of the characteristics and causes of water and sand changes in Hunan Zishui River Basin[J]. Express Water Resources & Hydropower Information, 2018,39(12):11-13,48.
[17]何朝飞,骆成彦,陈伏龙,等.基于CMIP6多模式的和田河流域未来气候变化预估[J].地学前缘,2023,30(3):515-528.
He C F, Luo C Y, Chen F L, et al. CMIP6 multi-model prediction of future climate change in the Hotan River Basin[J]. Earth Science Frontiers, 2023,30(3):515-528.
[18]邓鹏,徐进超,王欢.基于CMIP6的气候变化对鄱阳湖流域径流影响研究[J].水利水运工程学报,2023(4):71-80.
Deng P, Xu J C, Wang H. Study on the impact of climate change by CMIP6 on the rainfall-runoff process of Poyang Lake Basin[J]. Hydro-Science and Engineering, 2023(4):71-80.
[19]周芷菱,张利平,王惠筠,等.基于CMIP6的莱茵河流域极端水文事件变化特征研究[J].武汉大学学报:工学版,2022,55(4):328-338.
Zhou Z L, Zhang L P, Wang H Y, et al. Change characteristics of extreme hydrological events in the Rhine River Basin based on CMIP6[J]. Engineering Journal of Wuhan University, 2022,55(4):328-338.
[20]Wilby R L, Dawson C W, Barrow E M. SDSM:A decision support tool for the assessment of regional climate change impacts[J]. Environmental Modelling & Software, 2002,17(2):145-157.
[21]陈威霖,江志红,黄强.基于统计降尺度模型的江淮流域极端气候的模拟与预估[J].大气科学学报,2012,35(5):578-590.
Chen W L, Jiang Z H, Huang Q. Projection and simulation of climate extremes over the Yangtze and Huaihe River Basins based on a Statistical Downscaling Model[J]. Transactions of Atmospheric Sciences, 2012,35(5):578-590.
[22]叶加俊.汉江上游流域径流模拟及未来气候变化响应[D].武汉:华中科技大学,2018.
Ye J J. Runoff Simulation of the Upper Reaches of the Hanjiang River and Future Climate Change Response[D].Wuhan:Huazhong University of Science and Technology, 2018.
[23]侯保俭.长江上游流域统计降尺度方法研究[D].重庆:重庆交通大学,2012.
Hou B J. Statistical Downscaling Methods in Upper Reaches of Yangtze River Basin of China[D].Chongqing:Chongqing Jiaotong University, 2012.
[24]Arnold J G, Muttiah R S, Srinivasan R, et al. Regional estimation of base flow and groundwater recharge in the Upper Mississippi River Basin[J]. Journal of Hydrology, 2000,227(1/4):21-40.
[25]Mann H B. Nonparametric tests against trend[J]. Econometrica, 1945,13(3):245.
[26]马小芳,林爱文,方建.1960—2012年长江中下游极端降水与极端径流时空演变研究[J].测绘与空间地理信息,2018,41(2):157-160,163.
Ma X F, Lin A W, Fang J. Research on spatio-temporal variation of extreme precipitation and extreme run off in the middle and lower reaches of Yangtze River from 1960—2010[J]. Geomatics & Spatial Information Technology, 2018,41(2):157-160,163.
[27]代慧慧,杨汉波,胡庆芳.基于SDSM的疏勒河流域气候变化统计降尺度研究[J].水利水运工程学报,2015(5):46-53.
Dai H H, Yang H B, Hu Q F. Prediction of climate change over Shule River Basin based on a statistical downscaling method[J]. Hydro-Science and Engineering, 2015(5):46-53.
[28]刘卫林,熊翰林,刘丽娜,等.基于CMIP5模式和SDSM的赣江流域未来气候变化情景预估[J].水土保持研究,2019,26(2):145-152.
Liu W L, Xiong H L, Liu L N, et al. Estimate of the climate change in Ganjiang River Basin using SDSM method and CMIP5[J]. Research of Soil and Water Conservation, 2019,26(2):145-152.
[29]Huang J, Zhang J C, Zhang Z X, et al. Simulation of extreme precipitation indices in the Yangtze River Basin by using statistical downscaling method(SDSM)[J]. Theoretical and Applied Climatology, 2012,108(3):325-343.
[30]中国气象局气候变化中心.中国气候变化蓝皮书2021[M].北京:科学出版社,2021.
Climate Change Center of the China Meteorological Administration. Blue Book on Climate Change in China 2021[M]. Beijing:Science Press, 2021.
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