LI Xue,YU Kunxia,LI Peng,et al.Spatiotemporal Evolution and Driving Force of Rainfall Concentration in the Yellow River Basin[J].Research of Soil and Water Conservation,2023,30(05):266-273.[doi:10.13869/j.cnki.rswc.2023.05.008.]
黄河流域不同水资源区降雨集中度时空演变与驱动力
- Title:
- Spatiotemporal Evolution and Driving Force of Rainfall Concentration in the Yellow River Basin
- 文章编号:
- 1005-3409(2023)05-0266-08
- Keywords:
- rainfall concentration; Yellow River Basin; spatiotemporal evolution; driving force; cross wavelets
- 分类号:
- TV125
- 文献标志码:
- A
- 摘要:
- [目的]探究黄河流域降雨集中度的时空演变特征及其驱动力,揭示区域降雨的年内分配特征,为流域预防极端降雨及遏制水土流失和水资源规划制定提供一定的科学依据。[方法]基于1961—2018年逐月栅格降雨数据,采用Theil-Sen Median分析和Mann-Kendall检验探究黄河流域降雨集中度变化趋势特征,Morlet小波分析法分析了黄河流域降雨集中度的演变特征,对降雨集中度出现显著性变化的区域,使用交叉小波变换讨论选取的3个大气异常环流因子和太阳黑子对降雨集中度的影响。[结果](1)黄河流域中下游地区年平均降雨量远大于上游,流域中下游的三门峡至花园口及花园口以下等区域年均降雨量最大可达867 mm,而黄河上游的兰州至河口镇北部年均降雨量只有115 mm。(2)黄河流域降雨集中度分布较不均匀,流域龙门至三门峡等地降雨年内变化有明显的季节性,兰州至河口镇的东北部年内变化具有异常集中性。(3)黄河流域降雨集中度变化趋势变化显著的区域主要集中在龙羊峡以上、龙羊峡至兰州及兰州至河口镇区域。(4)太阳黑子和大气环流异常因子对降雨集中度变化均有影响,其中太阳黑子通过影响大气环流异常因子间接影响降雨集中度,而大气环流异常因子直接影响降雨集中度。[结论]黄河流域不同水资源区降雨集中度差异较大,在制定水土流失防治措施及水资源规划政策时,需根据不同水资源区实际降雨情况因地制宜。
- Abstract:
- [Objective] Investigating the spatial and temporal evolution of rainfall concentration in the Yellow River Basin and its driving forces can reveal the intra-annual distribution of rainfall in the region and provide a scientific basis for the prevention of extreme rainfall and the control of soil erosion and water resources planning in the basin. [Methods] Theil-Sen Median analysis and Mann-Kendall test were used to investigate the trend characteristics of rainfall concentration in the Yellow River basin based on the month-by-month raster rainfall data from 1961—2018. The influence of the three selected atmospheric anomalous circulation factors and sunspots on rainfall concentration were discussed. [Results](1)The average annual rainfall in the middle and lower reaches of the Yellow River basin was much greater than that in the upper reaches, with the maximum average annual rainfall in the middle and lower reaches of the basin from Sanmenxia to Huankou and below Huankou reaching 867 mm, while the average annual rainfall in the upper reaches of the Yellow River from Lanzhou to the northern part of Hekou town was only 115 mm.(2)The rainfall concentration in the Yellow River Basin varied greatly from watershed to watershed, with significant seasonal variations in the watershed from Longmen to Sanmenxia, and abnormal concentrations in the northeastern part of the watershed from Lanzhou to Hekou town.(3)Areas with significant trends in rainfall concentration in the Yellow River basin mainly concentrated above Longyangxia, from Longyangxia to Lanzhou and from Lanzhou to Hekou town.(4)Both sunspots and atmospheric circulation anomalies had influence on rainfall concentration, with atmospheric circulation anomalies directly influencing rainfall concentration and sunspots indirectly influencing rainfall concentration through atmospheric circulation anomalies. This study investigated the rainfall concentration in the Yellow River Basin, which could provide a scientific basis for the prevention of extreme rainfall and the control of soil erosion and water resources planning in the Yellow River Basin. [Conclusion] The concentration of rainfall in different water resource zones in the Yellow River Basin varied greatly. When formulating erosion control measures and water resource planning policies, it is necessary to tailor them to the actual rainfall conditions in different water resource zones.
参考文献/References:
[1] 宋晓猛,张建云,孔凡哲,等.北京地区降水极值时空演变特征[J].水科学进展,2017,28(2):161-173.
[2] 闫宝伟,刘昱,江慧宁,等.考虑降雨空间异质性的动态临界雨量预警指标推求[J].水利学报,2020,51(3):342-348.
[3] 韩谞,潘保柱,陈越,等.黄河水环境特征与氮磷负荷时空分布[J].环境科学,2021,42(12):5786-5795.
[4] 宋晓猛,张建云,占车生,等.气候变化和人类活动对水文循环影响研究进展[J].水利学报,2013,44(7):779-790.
[5] 冶运涛,梁犁丽,龚家国,等.长江上游流域降水结构时空演变特性[J].水科学进展,2014,25(2):164-171.
[6] 莫崇勋,莫桂燕,阮俞理,等.澄碧河水库流域降雨变化分析[J].节水灌溉,2017,267(11):56-61.
[7] Van Wijngaarden W A, Syed A. Changes in annual precipitation over the Earth's land mass excluding Antarctica from the 18 th century to 2013[J]. Journal of Hydrology, 2015,531:1020-1027.
[8] 黄生志,杜梦,李沛,等.变化环境下降雨集中度的变异与驱动力探究[J].水科学进展,2019,30(4):496-506.
[9] 刘业森,刘媛媛,李敏,等.降雨数据空间分辨率在城市流域洪峰变化分析中的影响[J].地球信息科学学报,2022,24(7):1326-1336.
[10] 樊晶晶.变化环境下水文要素变异研究[D].西安:西安理工大学,2016.
[11] 郑彦辰,李建柱,荣佑同,等.降雨时空分布量化及其在洪水过程分类中的应用[J].水利学报,2022,53(5):560-573.
[12] Oliver J E. Monthly precipitation distribution:a comparative index[J]. the Professional Geographer, 1980,32(3):300-309.
[13] Martin-Vide J. Spatial distribution of a daily precipitation concentration index in peninsular Spain[J]. International Journal of Climatology: A Journal of the Royal Meteorological Society, 2004,24(8):959-971.
[14] De Luís M, García-Cano M F, Cortina J, et al. Climatic trends, disturbances and short-term vegetation dynamics in a Mediterranean shrubland[J]. Forest ecology and management, 2001,147(1):25-37.
[15] Chatterjee S, Khan A, Akbari H, et al. Monotonic trends in spatio-temporal distribution and concentration of monsoon precipitation(1901—2002), West Bengal, India[J]. Atmospheric Research, 2016,182:54-75.
[16] 段亚雯,朱克云,马柱国,等.中国区域1961—2010年降水集中指数(PCI)的变化及月分配特征[J].大气科学,2014,38(6):1124-1136.
[17] Shiau J T. Effects of gamma-distribution variations on SPI-based stationary and nonstationary drought analyses[J]. Water Resources Management, 2020,34:2081-2095.
[18] 王卫平,刘永强,赵求东,等.新疆地区极端降水时空变化特征及对气温变化的响应[J].农业工程学报,2022,38(4):133-142.
[19] 郑金丽,严子奇,李东,等.黄河流域降雨—径流关系时空演变研究[J].水资源与水工程学报,2021,32(4):77-85,92.
[20] 杨大文,李翀,倪广恒,等.分布式水文模型在黄河流域的应用[J].地理学报,2004,59(1):143-154.
[21] 贺振,贺俊平.基于SPOT-VGT的黄河流域植被覆盖时空演变[J].生态环境学报,2012,21(10):1655-1659.
[22] 张金萍,张航.黄河流域降水时空演变规律研究[J].中国农村水利水电,2022,473(3):60-68.
[23] 蔡博峰,于嵘.基于遥感的植被长时序趋势特征研究进展及评价[J].遥感学报,2009,13(6):1170-1186.
[24] Tucker C J, Newcomb W W, Los S O, et al. Mean and inter-year variation of growing-season normalized difference vegetation index for the Sahel 1981—1989[J]. International Journal of Remote Sensing, 1991,12:1133-1135.
[25] Theil H. A rank-invariant method of linear and polynomial regression analysis[J]. Henri Theil'S Contributions to Economics and Econometrics:Econometric Theory and Methodology, 1992:345-381.
[26] Sen P K. Estimates of the regression coefficient based on Kendall's tau[J]. Journal of the American Statistical Association, 1968,63(324):1379-1389.
[27] Stuart M. Understanding robust and exploratory data analysis[J]. the Statistician, 1984,33:320-321.
[28] Toi'/c I. Spatial and temporal variability of winter and summer precipitation over Serbia and Montenegro[J]. Theoretical and Applied Climatology, 2004,77:47-56.
[29] 于延胜,陈兴伟.基于Mann-Kendall法的水文序列趋势成分比重研究[J].自然资源学报,2011,26(9):1585-1591.
[30] 袁丽华,蒋卫国,申文明,等.2000—2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.
[31] 贾路,于坤霞,邓铭江,等.西北地区降雨集中度时空演变及其影响因素[J].农业工程学报,2021,37(16):80-89.
[32] Xu G C, Zhang J X, Li P, et al. Vegetation restoration projects and their influence on runoff and sediment in China[J]. Ecological Indicators, 2018,95:233-241.
[33] 张会兰,李丹勋,姜晓明,等.基于阶段特性的岷江镇江关以上流域水沙趋势多尺度分析[J].水力发电学报,2013,32(3):127-133.
[34] 罗光坤. Morlet小波变换理论与应用研究及软件实现[D].南京:南京航空航天大学,2007
[35] 邵骏.基于交叉小波变换的水文多尺度相关分析[J].水力发电学报,2013,32(2):22-26,42.
[36] 张洪波,俞奇骏,陈克宇,等.基于小波变换的径流周期与ENSO事件响应关系研究[J].华北水利水电大学学报:自然科学版,2016,37(4):59-66.
[37] 陈亮,段建平,马柱国.大气环流形势客观分型及其与中国降水的联系[J].地球科学进展,2018,33(4):396-403.
相似文献/References:
[1]张克新,董小刚,廖空太,等.1960-2017年黄河流域极端气温的季节变化特征及其与ENSO的相关性分析[J].水土保持研究,2020,27(02):185.
ZHANG Kexin,DONG Xiaogang,LIAO Kongtai,et al.Characteristics of Seasonal Changes in Extreme Temperature and Their Relativity with ENSO in the Yellow River Basin from 1960 to 2017[J].Research of Soil and Water Conservation,2020,27(05):185.
[2]梁守真,隋学艳,王 猛,等.基于SPEI的黄河流域多时间尺度干湿变化分析[J].水土保持研究,2022,29(01):231.
LIANG Shouzhen,SUI Xueyan,WANG Meng,et al.Multiple Time Scales Analysis of Dryness and Wetness Changes of the Yellow River Basin in the Past 50 Years Based on SPEI Data[J].Research of Soil and Water Conservation,2022,29(05):231.
[3]付含培,王让虎,王晓军.1999—2018年黄河流域NDVI时空变化及驱动力分析[J].水土保持研究,2022,29(02):145.
FU Hanpei,WANG Ranghu,WANG Xiaojun.Analysis of Spatiotemporal Variations and Driving Forces of NDVI in the Yellow River Basin During 1999—2018[J].Research of Soil and Water Conservation,2022,29(05):145.
[4]慎璐璐,杨艳芬,吴 晶,等.黄河流域极端气候事件时空变化规律[J].水土保持研究,2022,29(02):231.
SHEN Lulu,YANG Yanfen,WU Jing,et al.Spatial and Temporal Variation Characteristics of Extreme Climate Events in the Yellow River Basin[J].Research of Soil and Water Conservation,2022,29(05):231.
[5]马亚丽,张 芮,孙栋元,等.黄河流域甘肃段地表干湿时空变化及驱动因子分析[J].水土保持研究,2023,30(02):135.[doi:10.13869/j.cnki.rswc.2023.02.037]
MA Yali,ZHANG Rui,SUN Dongyuan,et al.Spatiotemporal Variation and Driving Factors of Surface Wetness Index in Gansu Section of Yellow River Basin[J].Research of Soil and Water Conservation,2023,30(05):135.[doi:10.13869/j.cnki.rswc.2023.02.037]
[6]夏 冰,马鹏宇,徐 聪,等.近20年黄河流域植被净初级生产力时空分布及其对极端天气变化的时空响应[J].水土保持研究,2023,30(02):256.[doi:10.13869/j.cnki.rswc.2023.02.009]
XIA Bing,MA Pengyu,XU Cong,et al.Spatiotemporal Variation of NPP and Its Response to Extreme Climate Indices in Yellow River Basin in Recent 20 Years[J].Research of Soil and Water Conservation,2023,30(05):256.[doi:10.13869/j.cnki.rswc.2023.02.009]
[7]刘金凤,吴文恒,万 赟,等.近20年黄河流域城乡耦合协调的演化特征及影响因素[J].水土保持研究,2023,30(03):413.[doi:10.13869/j.cnki.rswc.2023.03.031]
LIU Jinfeng,WU Wenheng,WAN Yun,et al.Evolutionary Characteristics and Influencing Factors of Urban-Rural Coupling Coordination in Yellow River Basin in Recent 20 Years[J].Research of Soil and Water Conservation,2023,30(05):413.[doi:10.13869/j.cnki.rswc.2023.03.031]
[8]马亚丽,牛最荣,张 芮,等.洮河流域径流输沙演变与降雨及降雨侵蚀力的关系[J].水土保持研究,2023,30(04):90.[doi:10.13869/j.cnki.rswc.2023.04.025.]
MA Yali,NIU Zuirong,ZHANG Rui,et al.Relationship Between the Evolution of Runoff and Sediment and Rainfall and Rainfall Erosivity in the Taohe River Basin[J].Research of Soil and Water Conservation,2023,30(05):90.[doi:10.13869/j.cnki.rswc.2023.04.025.]
[9]赵金彩,潘 涛.基于多时间尺度的黄河流域植被NPP时空特征及其对气候变化的响应[J].水土保持研究,2024,31(04):214.[doi:10.13869/j.cnki.rswc.2024.04.008]
Zhao Jincai,Pan Tao.Spatiotemporal Variation of Multiple Time-Scale NPP and Its Response to Climate Change in the Yellow River Basin[J].Research of Soil and Water Conservation,2024,31(05):214.[doi:10.13869/j.cnki.rswc.2024.04.008]
[10]吴艳霞,邱 乐.黄河流域土地生态安全时空演化分析及预测[J].水土保持研究,2024,31(04):258.[doi:10.13869/j.cnki.rswc.2024.04.032]
Wu Yanxia,Qiu Le.Analysis and Prediction of Temporal and Spatial Evolution of Land Ecological Security in Yellow River Basin[J].Research of Soil and Water Conservation,2024,31(05):258.[doi:10.13869/j.cnki.rswc.2024.04.032]
备注/Memo
收稿日期:2022-07-27 修回日期:2022-09-05
资助项目:国家自然科学基金项目(52079104,51979290); 宁夏区水利科技项目(SBZZ-J-2021-12,SBZZ-J-2021-13); 榆林市2018年度科技计划项目(CXY2018-2-19); 陕西省重点研发计划(2023-ZDLSF-60)
第一作者:李雪(1998—),男,河北张家口人,在读硕士研究生,主要从事水文水资源研究。E-mail:1239921724@qq.com
通信作者:于坤霞(1989—),女,河南长垣市人,博士,副教授,硕士生导师,主要从事流域水热耦合平衡研究。E-mail:yukunxia@126.com