PDF Download

[1]XU Gongwei,XU Lirong,ZHANG Yunping,et al.Spatiotemporal Variation of Rainfall Erosivity in the Dawen River Basin During 1970—2019[J].Research of Soil and Water Conservation,2022,29(06):45-51.

Copy

Spatiotemporal Variation of Rainfall Erosivity in the Dawen River Basin During 1970—2019

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 06 Page number: 45-51 Column: Public date: 2022-10-20

Title:: Spatiotemporal Variation of Rainfall Erosivity in the Dawen River Basin During 1970—2019

Author(s):: XU Gongwei¹, XU Lirong¹, ZHANG Yunping², WANG Kun³, HUI Li¹, XU Jing¹, ZHAO Qinrui¹; (1.School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China; 2.Water Conservancy Bureau of Yucheng, Dezhou, Shandong 251200, China; 3.Zhangqiu Yellow River Bureau, Jinan Yellow River Bureau, Jinan 250200, China)

Keywords:: rainfall erosivity; rainfall; spatiotemporal variation; soil erosion; Dawen River Basin

CLC:: S157.1

DOI:: -

Abstract:: In order to study the influence of rainfall erosivity(R)as it relates to soil erosion in the Dawen River Basin, and provide a scientific basis for local water and soil conservation, a study was conducted on the daily rainfall data of six rainfall stations from 1970 to 2019. The temporal and spatial distribution characteristics of R was analysed by methods such as the Mann-Kendall trend test, catastrophe test, cumulative anomaly, wavelet analysis, inverse distance weighted interpolation and the Tyson polygon. The results showed that the annual average R from 1970 to 2019 ranged from 1 310.84 to 6 721.53 MJ·mm/(hm²·h·a), with an average of 3 808.83 MJ·mm/(hm²·h·a). The inter-annual variation of R was drastic and showed a weak downward trend. There were three types of periodic changes of 4～7 years, 8～12 years and 17～25 years, with a sudden change in 1979. The distribution of R was concentrated from June to September during the year, especially in July and August. The changing trend of R during the four seasons was at first rising, then falling, and then rising again. The order of R in its spatial distribution was central, then eastern and then western respectively. The dispersion degree of R is greater in the east and west and is lesser than that of the central. R was closely related to the altitude and rainfall in different zones. The spatial distribution of R in the Dawen River Basin varies significantly, with inter-annual cycles and dissimilitude, concentrated in July and August during the year. Taking everything into consideration, there is no doubt that the prevention and control of soil erosion in July and August is paramount.

References:: [1] 王占礼.中国土壤侵蚀影响因素及其危害分析[J].农业工程学报,2000,16(4):32-36.
[2] Serio M A, Carollo F G, Ferro V. Raindrop size distribution and terminal velocity for rainfall erosivity studies: A review [J]. Journal of Hydrology, 2019,576:210-228.
[3] 汪东川,卢玉东.国外土壤侵蚀模型发展概述[J].中国水土保持科学,2004,2(2):35-40.
[4] 鲁向晖,张海娜,白桦,等.赣江流域1986—2015年降雨侵蚀力时空变化特征[J].长江科学院院报,2020,37(10):51-58.
[5] Wischmeier W H, Smith D D. Rainfall energy and its relationship to soil loss[J]. John Wiley & Sons, Ltd., 1958,39(2):285-291.
[6] Foster G R, Lombardi F, Moldenhauer W C. Evaluation of rainfall-runoff erosivity factors for individual storms[J].Transactions of the ASAE, 1982,25(1):124-129.
[7] 孙保平,赵廷宁,齐实.USLE在西吉县黄土丘陵沟壑区的应用[J].中国科学院水利部西北水土保持研究所集刊:黄土高原试验区土壤侵蚀和综合治理减沙效益研究专集,1990(2):50-58,15.
[8] 黄炎和,卢程隆,郑添发,等.闽东南降雨侵蚀力指标R值的研究[J].水土保持学报,1992,6(4):1-5.
[9] 章文波,谢云,刘宝元.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705-711.
[10] 肖国年,周宁,李铮,等.宜兴抽水蓄能电站工程区降雨侵蚀力特征分析[J].人民长江,2020,51(S2):45-49.
[11] 宁婷,桑满杰,郭新亚,等.山西省2000—2016年降雨侵蚀力时空分布特征[J].中国水土保持科学,2020,18(1):1-7.
[12] 柴雪柯,高鹏,蒋观滔,等.渭河流域降雨侵蚀力时空变化研究[J].水土保持研究,2016,23(3):25-28,36.
[13] 徐晶,徐征和,李伟,等.济南市1970—2016年降雨侵蚀力时空变化[J].山地学报,2018,36(3):391-400.
[14] Capra A, Porto P, Spada C L. Long-term variation of rainfall erosivity in Calabria(Southern Italy)[J]. Theoretical and Applied Climatology, 2017,28(1):141-158.
[15] 穆兴民,李靖,王飞,等.黄河天然径流量年际变化过程分析[J].干旱区资源与环境,2003,17(2):1-5.
[16] 谢贤胜,王升,闫妍,等.广西西江流域近50年气温和降水变化趋势及突变分析[J].水力发电,2020,46(12):19-25,83.
[17] 吕乐婷,韩月驰,高晓琴.汤河流域降水径流变化趋势分析[J].辽宁师范大学学报:自然科学版,2020,43(3):372-380.
[18] Grinsted A, Moore J C, Jevrejeva S. Application of the cross wavelet transform and wavelet coherence to geophysical time series[J]. Nonlinear Processes in Geophysics, 2004,11(5/6):561-566.
[19] 阮欧,刘绥华,杨广斌,等.1966—2017年贵州省降雨侵蚀力的时空分布特征[J].水土保持通报,2020,40(3):35-42,2.
[20] 李胜利,巩在武,石振彬.近50年来山东省极端降水指数变化特征分析[J].水土保持研究,2016,23(4):120-127.
[21] 冯若昂,刘加珍,陈永金,等.山东省多年降雨侵蚀力及其增长率变化分析[J].自然灾害学报,2017,26(5):83-92.
[22] 肖蓓,崔步礼,姜宝福,等.山东省不同地形区降雨侵蚀力时空变化特征[J].地球环境学报,2019,10(3):267-280.
[23] 朱祎真,薛联青.大汶河流域径流对人类活动及气候变化的响应[J].人民珠江,2017,38(8):18-24.
[24] 夏继勇,钟平安,刘畅,等.近58年大汶河流域降水量演变特征分析[J].水电能源科学,2017,35(3):6-10.

Similar References:

Memo

Last Update: 2022-10-20