ZHU Yiming,LAN Yunlong,ZHOU Zuhao,et al.Evolution Mechanism of Water and Sediment Processes in Daxia River Basin Based on Distributed Water and Sediment Model[J].Research of Soil and Water Conservation,2021,28(04):121-127.
基于分布式水沙模型的大夏河流域水沙过程演变机理
- Title:
- Evolution Mechanism of Water and Sediment Processes in Daxia River Basin Based on Distributed Water and Sediment Model
- 文章编号:
- 1005-3409(2021)04-0121-07
- Keywords:
- evolution mechanism of water and sediment; distributed water and sediment model; multi-factor attribution analysis method; Daxia River Basin
- 分类号:
- TV141
- 文献标志码:
- A
- 摘要:
- 黄河上游水沙过程受气候和土地利用变化等因素影响,年际及年内分布差异较大。选择大夏河流域为研究区,对研究区的实测径流和输沙量进行趋势性分析,应用流域分布式水沙模型(WEP-SED)模拟流域水沙过程并采用多因子归因分析方法进行分析,探究大夏河流域在变化环境下的水沙演变规律。结果表明:大夏河流域年径流量下降速率为0.85亿m3/10 a,年输沙量下降速率为66.25万t/10 a,趋势均为负持续性,输沙量的减小幅度是径流量的1.8倍; 大夏河流域水沙过程主要受汛期降水、气温以及土地利用变化的影响,降水对径流量和输沙量减少的贡献率分别为-77.0%和-90.0%,气温对两者的贡献率分别为-29.7%和-16.5%,而土地利用变化对两者的影响呈现微增作用。
- Abstract:
- The water-sediment process in the upper reaches of the Yellow River is affected by factors such as climate and land use changes, and its distribution varies greatly between and within the year. The Daxia River Basin was selected as the study area to analyze the measured runoff and sediment transport data. The watershed distributed water and sediment model(WEP-SED model)was used to simulate the water and sediment processes, and the multi-factor attribution analysis method was used to analyze the water and sediment evolution patterns of the Daxia River Basin under changing environments. The results show that the annual runoff decline rate of the Daxia River Basin is 85 million m3/decade, and the annual sediment discharge decline rate is 662 500 t/decade; the trends are all negative and persistent; the reduction in sediment volume is 1.8 times that of runoff; the water and sediment processes in the Daxia River Basin are mainly affected by precipitation, temperature and land use changes during the flood season; the contribution rate of precipitation to the reduction of runoff and sediment is -77.0% and -90.0%, and the contribution rate of temperature is -29.7% and -16.5%, respectively, while the impact of land use change on runoff and sediment increases slightly.
参考文献/References:
[1] 赵阳,胡春宏,张晓明,等.近70年黄河流域水沙情势及其成因分析[J].农业工程学报,2018,34(21):120-127.[2] 李万寿,吴国祥.青海省境内黄河上游区水沙来源及组成分析[J].水土保持通报,1999,19(6):6-10.[3] 侯素珍,王平,楚卫斌.黄河上游水沙变化及成因分析[J].泥沙研究,2012(4):46-52.[4] 张世军,俞卫平,张红平.黄河上游径流泥沙特性及变化趋势分析[J].水资源与水工程学报,2005,16(3):57-61.[5] 罗红春,冀鸿兰,牟献友,等.黄河石嘴山站水沙变化及趋势分析[J].南水北调与水利科技,2019,17(4):193-201.[6] 田小靖,赵广举,穆兴民,等.水文序列突变点识别方法比较研究[J].泥沙研究,2019,44(2):33-40.[7] 郭彦,侯素珍,王平,等.基于小波分析的黄河上游水沙多时间尺度特征[J].干旱区研究,2015,32(6):1047-1054.[8] 许文龙,赵广举,穆兴民,等.近60年黄河上游干流水沙变化及其关系[J].中国水土保持科学,2018,16(6):41-50.[9] 苏晓慧,张晓华,田世民.黄河上游宁蒙河段水沙变化特征分析[J].人民黄河,2013,35(2):13-15.[10] 王秀杰,练继建.近43年黄河上游来水来沙变化特点[J].干旱区研究,2008,25(3):342-347.[11] 姚文艺,侯素珍,丁赟.龙羊峡、刘家峡水库运用对黄河上游水沙关系的调控机制[J].水科学进展,2017,28(1):1-13.[12] 申冠卿,张原锋,侯素珍,等.黄河上游干流水库调节水沙对宁蒙河道的影响[J].泥沙研究,2007(1):67-75.[13] 冉大川,张栋,焦鹏,等.西柳沟流域近期水沙变化归因分析[J].干旱区资源与环境,2016,30(5):143-149.[14] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings A,1998,454(1971):903-995.[15] Jia Y, Ni G, Kawahara Y, et al. Development of WEP model and its application to an urban watershed[J]. Hydrological Processes, 2001,15(11):2175-2194.[16] Jia Y, Wang H, Zhou Z, et al. Development of the WEP-L distributed hydrological model and dynamic assessment of water resources in the Yellow River basin[J]. Journal of Hydrology, 2006,331(3/4):606-629.[17] Zhou Z, Jia Y, Qiu Y, et al. Simulation of Dualistic Hydrological Processes Affected by Intensive Human Activities Based on Distributed Hydrological Model[J]. Journal of Water Resources Planning and Management, 2018,144(12):04018077.1-04018077.16.[18] Cai J, Zhou Z, Liu J, et al. A three-process-based distributed soil erosion model at catchment scale on the Loess Plateau of China[J]. Journal of Hydrology,578,124005.10.1016/j. jhydrol.2019.124005.[19] 蔡静雅,周祖昊,刘佳嘉,等.基于三级汇流和产输沙结构的分布式侵蚀产沙模型[J].水利学报,2020,51(2):140-151.[20] Nash J E, Sutcliffe J V. River flow forecasting through conceptual models part I: A discussion of principles-ScienceDirect[J]. Journal of Hydrology,1970,10(3):282-290.[21] 刘佳嘉,周祖昊,贾仰文,等.水循环演变中多因素综合影响贡献量分解方法[J].水利学报,2014,45(6):658-665.
备注/Memo
收稿日期:2020-08-14 修回日期:2020-09-06资助项目:国家重点研发计划课题“未来30-50年黄河流域径流变化趋势预测”(2016YFC0402405); 流域水循环模拟与调控国家重点实验室课题“黄河流域降雨径流关系时空演变及其尺度效应”(SKL2018TS04)第一作者:朱熠明(1995—),男,河北石家庄人,助理工程师,硕士,研究方向为流域水循环模拟、疏浚工程。E-mail:zhuyiming2898@outlook.com通信作者:周祖昊(1975—),男,湖北武汉人,教高,博士,研究方向为流域水循环及伴生过程模拟与调控。E-mail:zhzh@iwhr.com