Correlation and Spatial-Temporal Variation of Precipitation and Sediment Production in Wuding River Loess Area

ZHANG Ping; ZHENG Mingguo; CAI Qiangguo and MA Xiaoqing

doi:10.13870/j.cnki.stbcxb.2020.01.002

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Correlation and Spatial-Temporal Variation of Precipitation and Sediment Production in Wuding River Loess Area

更新时间：2025-03-12

- Correlation and Spatial-Temporal Variation of Precipitation and Sediment Production in Wuding River Loess Area
- Vol. 34, Issue 1, Pages: 8-16(2020)
- 作者机构：
  
  1. 中国科学院地理科学与资源研究所, 陆地水循环及地表过程重点实验室,北京,100101
  2. 中国科学院大学资源环境学院,北京,100049
  3. 广东省生态环境技术研究所, 广东省农业环境综合治理重点实验室,广州,510650
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2020.01.002
  CLC： S157
- Published：2020
- 稿件说明：
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ZHANG Ping, ZHENG Mingguo, CAI Qiangguo and MA Xiaoqing. Correlation and Spatial-Temporal Variation of Precipitation and Sediment Production in Wuding River Loess Area[J]. 2020, 34(1): 8-16.
DOI：

ZHANG Ping, ZHENG Mingguo, CAI Qiangguo and MA Xiaoqing. Correlation and Spatial-Temporal Variation of Precipitation and Sediment Production in Wuding River Loess Area[J]. 2020, 34(1): 8-16. DOI： 10.13870/j.cnki.stbcxb.2020.01.002.

摘要

通过泰森多边形加权变差系数法研究了黄河中游无定河流域黄土区降水和侵蚀产沙的空间变异规律，并用线性回归分析探究两者空间变异性的相关性。以黄河主要泥沙来源区之-的无定河流域为例，分析了该流域黄土区1959—2015年水土保持措施综合治理前后降水和侵蚀产沙的时空变异规律，所选用的降水特征为汛期降水（Pflood）和汛期降雨侵蚀力（Rflood），用产沙模数（SSY）表示该流域产沙量的多少。结果表明：（1）在水土流失治理前（1959—1970年），该地区降水特征与产沙模数在时间上的增减变化趋势-致，而且两者呈显著的幂函数相关关系（P<0.01），Pflood和Rflood对侵蚀产沙的影响-致；在大规模水土流失治理后（1971—2015年），由于该流域修建了大量淤地坝等水土保持措施，产沙量骤减，降水特征和产沙模数无显著相关关系。（2）在多年时间尺度上（1959—2015年），汛期降水的空间变异性为8%，汛期降雨侵蚀力的空间变异系数为15%，汛期降水的空间变异性小于汛期降雨侵蚀力；1959—1970年期间产沙模数的空间变异性小于1971—2015年期间。在1959—1970年期间，降水特征和产沙模数的空间变异性呈显著的二次多项式相关关系（P<0.01），而且汛期降雨侵蚀力与产沙模数的空间变异性的相关性更加显著（R2=0.76，P<0.01）；1971—2015年降水特征与产沙模数的空间变异性无显著相关关系。在人类活动以前流域产沙空间变异性的主要影响因素为汛期降雨侵蚀力的空间变异性，而在水土流失治理之后降水的空间变异性对流域产沙空间变异性的影响减小，此时流域产沙的空间变异主要受人类活动的影响。

Abstract

The spatial variation of precipitation and erosion sediment production in loess areas of Wuding River basin in the middle reach of the Yellow River were studied by using Thiessen polygon weighted coefficient of variation method

and the correlation between the spatial variability was explored by using linear regression analysis. Based on Wuding River basin

one of the main sediment source area of the Yellow River

this paper analyzed the temporal and spatial variation of precipitation and sediment yield of the loess area in 1959-2015 before and after the soil and water conservation measures

choosing flood season precipitation (Pflood) and flood season rainfall erosivity (Rflood) for the precipitation characteristics

and specific sediment yield (SSY) for sediments production. The results showed that:(1) Before soil and water conservation measures (1959-1970)

the trend of precipitation characteristics in this region was consistent with the change of SSY in time

and the two precipitation characteristics showed a significant power function correlation (P<0.01). The effects of Pflood and Rflood on erosion sediment yield were consistent. After large-scale soil and water conservation measures (1971-2015)

due to the construction of a large number of silt-dam in study area

sediment yield decreased sharply

and there was no significant correlation between precipitation characteristics and SSY. (2) On the multi-year time scale (1959-2015)

the spatial variability of Pflood was 8%

and the spatial variation coefficient of Rflood was 15%

and the spatial variability of Pflood was less than that of Rflood. The spatial variability of SSY between 1959-1970 was smaller than that between 1971-2015. During 1959-1970

the spatial variability of precipitation characteristics and SSY showed a significant quadratic polynomial correlation (P<0.01)

and the correlation between Rflood and SSY was more significant (R2=0.76

P<0.01). There was no significant correlation between precipitation characteristics and SSY from 1971 to 2015. The results showed that the spatial variability of SSY before human activities was mainly affected by the spatial variability of Rflood

while the spatial variability of SSY as mainly affected by human activities after soil and water conservation measures.

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