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[1]WANG Jiahuan,ZHANG Chenxing,YANG Xinbing,et al.Analysis on Spatiotemporal Distribution Characteristics of Rainfall Erosivity in Baiyangdian Basin Based on GIS[J].Research of Soil and Water Conservation,2023,30(01):18-24.[doi:10.13869/j.cnki.rswc.20220601.004]

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Analysis on Spatiotemporal Distribution Characteristics of Rainfall Erosivity in Baiyangdian Basin Based on GIS

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 01 Page number: 18-24 Column: Public date: 2023-01-10

Title:: Analysis on Spatiotemporal Distribution Characteristics of Rainfall Erosivity in Baiyangdian Basin Based on GIS

Author(s):: WANG Jiahuan¹, ZHANG Chenxing¹, YANG Xinbing¹, YANG Wenji², MI Qiuju³; (1.College of Forestry, Hebei Agricultural University, Baoding, Hebei 071000, China; 2.Shan Helin(Beijing) Soil and Water Conservation Technology Co.Ltd., Water Seabuckthorn Development Management Center, Ministry of Water Resources(Soil and Water Conservation Plant Development and Management Center of Ministry of Water Resources), Beijing 100038, China; 3.Hebei Jinyang Environmental Technology Co.Ltd., Baoding, Hebei 071000, China)

Keywords:: rainfall erosivity; temporal and spatial distribution characteristics; Baiyangdian Basin

CLC:: S157.1

DOI:: 10.13869/j.cnki.rswc.20220601.004

Abstract:: To analyze the temporal and spatial distribution characteristics of rainfall erosivity in Baiyangdian Basin. Using the daily rainfall data of 64 meteorological stations in and around Baiyangdian Basin from 2003 to 2018, the study is carried out by using daily rainfall model, linear stepwise regression, tendency rate, Mann-Kendall mutation test and Kriging interpolation. The results show that:(1)average annual rainfall erosivity of Baiyangdian Basin is 2 284.54(MJ·mm)/(hm²·h); rainfall erosivity of Fuping County in southwest China and Xiayunling Mountain in northeast China is larger, which increases at first and then decreases from southeast to northwest;(2)relationship between rainfall erosivity of meteorological stations and longitude, latitude and altitude as follows: rainfall erosivity = -0.115 × latitude + 0.414 × longitude -0.235 × altitude; rainfall erosivity is negatively correlated with latitude and altitude, and positively correlated with longitude;(3)the annual distribution of rainfall erosivity, it is larger in summer with an average of 1 826.75(MJ·mm)/(hm²·h)and smaller in winter with an average of 1.77(MJ·mm)/(hm²·h); the interannual distribution of rainfall erosivity, it is larger from 2011 to 2014, averaging 2 584.82(MJ·mm)/(hm²·h), and smaller from 2003 to 2006, averaging 2 053.79(MJ·mm)/(hm²·h);(4)the temporal variation of rainfall erosivity, tendency rates of rainfall erosivity are 49.81(MJ·mm)/(hm²·h)and 162.84(MJ·mm)/(hm²·h)in spring and summer, -89.47(MJ·mm)/(hm²·h)and -0.07(MJ·mm)/(hm²·h)in autumn and winter, respectively, with annual average of 24.54(MJ·mm)/(hm²·h); on the whole, rainfall erosivity shows an increasing trend year by year, but this trend is not significant. The results show that rainfall erosivity in Baiyangdian Basin shows a seasonal variation of high in summer and low in winter, and increases year by year as a whole. The elevation undulating zone and plain in the southwest-northeast direction have greater rainfall erosivity. Therefore, strengthening the monitoring of rainfall erosivity in key areas and important time nodes in the basin is a necessary guarantee for the prevention and control of soil and water loss.

References:: [1] 李维杰,王建力.太行山脉不同量级降雨侵蚀力时空变化特征[J].自然资源学报,2019,34(4):785-801.
[2] 张祖莲,洪斌,黄英,等.降雨条件下云南红土理化特性对坡面侵蚀的影响研究[J].水土保持学报,2016,30(3):6-11,18.
[3] Bagherzadeh A. Estimation of soil losses by USLE model using GIS at Mashhad plain, Northeast of Iran[J]. Arabian Journal of Geosciences, 2014,7(1):211-220.
[4] Bonilla C A, Vidal K L. Rainfall erosivity in Central Chile[J]. Journal of Hydrology, 2011,410(21):126-133.
[5] 王万中,焦菊英,郝小品,等.中国降雨侵蚀力R值的计算与分布(Ⅰ)[J].水土保持学报,1995,9(4):5-18.
[6] 王万中,焦菊英,郝小品,等.中国降雨侵蚀力R值的计算与分布(Ⅱ)[J].水土保持学报,1996,10(1):29-39.
[7] 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.
[8] 刘斌涛,陶和平,宋春风,等.1960―2009年中国降雨侵蚀力的时空变化趋势[J].地理研究,2013,32(2):245-256.
[9] 赖成光,陈晓宏,王兆礼,等.珠江流域1960—2012年降雨侵蚀力时空变化特征[J].农业工程学报,2015,31(8):159-167.
[10] Jin H, Jinchi Z, Zengxin Z, et al. Spatial and temporal variations in rainfall erosivity during 1960—2005 in the Yangtze River Watershed[J]. Stochastic Environmental Research and Risk Assessment, 2013,27(2):337-351.
[11] 高彦春,王金凤,封志明.白洋淀流域气温、降水和径流变化特征及其相互响应关系[J].中国生态农业学报,2017,25(4):467-477.
[12] 温静,黄大庄.白洋淀流域景观结构和格局时空变化规律及其与地形因子关系[J].河北农业大学学报,2020,43(3):86-95.
[13] 张晨星,徐晶晶,温静,等.基于CA-Markov模型和MCE约束的白洋淀流域景观动态研究[J].农业资源与环境学报,2021,38(4):655-664.
[14] 刘丹丹,吴现兵,程伍群,等.白洋淀流域降水特性分析[J].南水北调与水利科技,2014,12(5):113-117.
[15] 伊力哈木·伊马木.新疆维吾尔自治区1981—2018年降雨侵蚀力的空间变化特征[J].水土保持通报,2020,40(4):1-9.
[16] 向亮,郝立生,安月改,等.51 a河北省降水时空分布及变化特征[J].干旱区地理,2014,37(1):56-65.
[17] 杜军凯,贾仰文,李晓星,等.基于TRMM卫星降水的太行山区降水时空分布格局[J].水科学进展,2019,30(1):1-13.
[18] 韩建,占车生,王飞宇,等.太行山区降水空间扩展方法与垂直地带性分析[J].山地学报,2017,35(6):761-768.
[19] 刘斌涛,陶和平,宋春风,等.基于重心模型的西南山区降雨侵蚀力年内变化分析[J].农业工程学报,2012,28(21):113-120,1.
[20] 钟科元,郑粉莉.1960—2014年松花江流域降雨侵蚀力时空变化研究[J].自然资源学报,2017,32(2):278-291.

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Last Update: 2023-01-10