生态与农村环境学报 ›› 2023, Vol. 39 ›› Issue (11): 1464-1473.doi: 10.19741/j.issn.1673-4831.2022.0894

• 自然保护与生态 • 上一篇    下一篇

南渡江流域降雨侵蚀力时空分布与变化趋势研究

卢旭东1,2, 齐实1, 陈家东2, 郭建超2, 张林1,2, 周飘1,2   

  1. 1. 北京林业大学水土保持学院, 北京 100083;
    2. 海南省水利水电勘测设计研究院有限公司, 海南 海口 571100
  • 收稿日期:2022-08-30 出版日期:2023-11-25 发布日期:2023-11-21
  • 通讯作者: 齐实,E-mail:qishi@bjfu.edu.cn;陈家东,E-mail:chenjdhnsy@163.com E-mail:qishi@bjfu.edu.cn;chenjdhnsy@163.com
  • 作者简介:卢旭东(1997-),男,安徽六安人,博士生,主要研究方向为水土保持。E-mail:1807339487@qq.com
  • 基金资助:
    海南省重大科技计划项目(ZDKJ2021033)

Spatiotemporal Distribution and Variation Trend of Rainfall Erosivity in the Nandu River Basin

LU Xu-dong1,2, QI Shi1, CHEN Jia-dong2, GUO Jian-chao2, ZHANG Lin1,2, ZHOU Piao1,2   

  1. 1. School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China;
    2. Hainan Province Water Conservancy & Hydropower Survey, Design & Research Institute Co. Ltd., Haikou 571100, China
  • Received:2022-08-30 Online:2023-11-25 Published:2023-11-21

摘要: 降雨侵蚀力是表征降雨侵蚀强度的重要指标,对研究区域水土流失潜在风险以及土壤侵蚀模型预测具有重要意义。为分析南渡江流域降雨侵蚀力时空变化趋势,基于日降雨侵蚀力模型,利用流域及其周边13个气象站1971-2020年逐日降雨数据,采用Mann-Kendall非参数趋势/突变检验、小波分析和反距离加权插值等方法在不同时空尺度上对降雨侵蚀力进行研究,从而确定降雨侵蚀力的时间和空间变化趋势。结果表明,南渡江流域1971-2020年年均降雨侵蚀力范围为11 841.33~23 692.14 MJ·mm·hm-2·h-1,均值为16 497.67 MJ·mm·hm-2·h-1,年际变化整体呈现波动上升趋势,年降雨侵蚀力存在周期性变化,未发生显著性突变;降雨侵蚀力年内分布集中在7-9月,因此需加强期间水土流失防治工作。季节的年际变化除春季降雨侵蚀力呈现下降趋势外,夏季、秋季和冬季均呈上升趋势;降雨侵蚀力空间分布呈现从南向北逐渐降低的趋势,各气象站变异系数范围为0.24~0.43,由北向南逐步递减,具有较高的区域变异性;南渡江流域降雨侵蚀力与侵蚀性降雨量相关性最高,其后依次为海拔和纬度。研究成果可为南渡江流域及其典型侵蚀区水土保持和环境治理提供科学参考。

关键词: 降雨侵蚀力, 日降雨模型, 时空变化, 水土流失, 侵蚀性降雨, 南渡江流域

Abstract: Rainfall erosivity is an important index used to characterize the intensity of rainfall erosion, which is of great significance to the research on potential risk of soil erosion in the study area and for model predictions. To analyze the spatiotemporal variation trend of rainfall erosivity in the Nandu River Basin, based on the daily rainfall erosivity model, daily rainfall data recorded at 13 meteorological stations in the basin and its surrounding areas from 1971 to 2020 were used to systematically study the rainfall erosivity at different spatiotemporal scales. The research methods included the application of the Mann-Kendall nonparametric trend/mutation test, wavelet analysis, and inverse distance weighted interpolation to determine the spatiotemporal variation trends of rainfall erosivity. The results show that the average annual rainfall erosivity in the Nandu River Basin from 1971 to 2020 ranged from 11 841.33 to 23 692.14 MJ·mm·hm-2·h-1, with an average value of 16 497.67 MJ·mm·hm-2·h-1, and the interannual variations reflect four stages, with an overall trend of rising fluctuations. The results indicate that the potential risk of soil erosion increased gradually over the study period. The annual rainfall erosivity has a change cycle of 30 years, and no obvious abrupt change occurred during the study period. Affected by the monsoon climate, latitude, elevation, spatiotemporal distribution of rainfall erosivity and erosive rainfall distribution, the rainfall erosion force was mainly concentrated in the period from July to September, accounting for 51.26% of the annual rainfall erosivity. Therefore, it is necessary to strengthen the prevention and control of soil erosion in this period, especially when rainfall erosivity peaks in August. Rainfall erosivity showed upward trends in summer, autumn and winter, but in spring, rainfall erosivity showed a downward trend. The spatial distribution of the annual rainfall erosivity decreased gradually from south to north. The variation coefficients of the meteorological stations ranged from 0.24 to 0.43, showing high regional variability. The variation coefficient of the northern region was relatively large, while that of the southern region was relatively small, and the overall trend gradually decreased from north to south. Rainfall erosivity in the Nandu River Basin was significantly and positively correlated with the erosive rainfall and elevation; and the erosive rainfall effect passed the significance test at 0.01, while the elevation effect passed the significance test at 0.05. Certain correlations were found between rainfall erosivity and both latitude and longitude, with correlation coefficients of 0.76 and 0.42, respectively, both passing the 0.01 significance test. This study can provide a reference for the prediction and control of soil and water losses and the envirommental protection in the Nandu River Basin and related typical erosion areas.

Key words: rainfall erosivity, daily rainfall model, spatial-temporal variation, soil and water loss, erosive rainfall, the Nandu River Basin

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