[1]WEN Tianfu,ZHANG Fanping,HU Jianmin,et al.Spatiotemporal Variation of Rainfall Erosivity During the Period 1958-2014 in Ganjiang River Basin[J].Research of Soil and Water Conservation,2020,27(01):7-14,20.
Copy
Spatiotemporal Variation of Rainfall Erosivity During the Period 1958-2014 in Ganjiang River Basin
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 01
Page number:
7-14,20
Column:
Public date:
2020-02-20
- Title:
- Spatiotemporal Variation of Rainfall Erosivity During the Period 1958-2014 in Ganjiang River Basin
- Keywords:
- rainfall erosivity; TFPW-MK; wavelet analysis; spatiotemporal variation; Ganjiang River Basin
- CLC:
- S157.1
- DOI:
- -
- Abstract:
- A rainfall erosivity factor can be used to measure the rain potential ability to cause soil erosion. It is important to analyze on the characteristics of rainfall erosivity, the assessment of soil erosion risk and the prevention and control of soil erosion. In this paper, the monthly rainfall erosivity model was introduced to calculate the rainfall erosivity. Ganjiang River Basin(GRB)was taken as the study case. The daily rainfall data of 12 meteorological stations from 1958 to 2014 were used in the model. The methods including TFPW-MK, wavelet analysis and Kriging interpolation were used to analyze the spatiotemporal variation of rainfall erosivity. The results show that the range of annual rainfall erosivity in GRB is 6 059.9～8 724.7(MJ·mm)/(hm2·h)during the period 1958—2014, the average annual rainfall erosivity increases from southwest to northeast in general, annual rainfall erosivity of most stations displays the increasing trends from 1958 to 2014; the annual areal rainfall erosivity of GRB shows the significant increasing trend with yearly average slope of 12.250(MJ·mm)/(hm2·h), annual areal rainfall erosivity of upper basin shows the slightly decreasing trend, while it displays the increasing trend in the middle and lower basins, especially for the period from July to September; In addition, the rainfall erosivity frequence from 1958 to 2014 had the main period of 4.1 years, with an oscillation periods of 2.0～5.8 years, indicating that the risk of soil erosion in GRB is increasing, especially in the lower basin. These results can provide the important reference for soil and water conservation planning, agricultural developing in this basin.
- References:
-
[1] 田卫堂,胡维银,李军,等.我国水土流失现状和防治对策分析[J].水土保持研究,2008,15(4):204-209.
[2] 王志福,钱永甫.中国极端降水事件的频数和强度特征[J].水科学进展,2009,20(1):1-9.
[3] 李光录,吴发启,庞小明,等.泥沙输移与坡面降雨和径流能量的关系[J].水科学进展,2008,19(6):868-874.
[4] 程琳琳,赵文武,张银辉,等.集水区尺度降雨侵蚀力空间分布对土壤流失的影响[J].农业工程学报,2009,25(12):69-73.
[5] Wischmeier W H, Smith D D. Predicting rainfall erosion losses:A guide to conservation planning [USA][R]. United States:Dept. of Agriculture, Agriculture Handbook(Usa),1978.
[6] Angulo-Martínez M, Beguería S. Estimating rainfall erosivity from daily precipitation records:A comparison among methods using data from the Ebro Basin(NE Spain)[J]. Journal of Hydrology(Amsterdam),2009,379(1/2):111-121.
[7] 杨轩,梁音,方继青,等.基于日降雨信息的月降雨侵蚀力模型[J].土壤学报,2010,47(2):216-222.
[8] Richardson C W, Forster G R, Wright D A. Estimation of erosion index from daily rainfall amount[J]. Transaction of the Chinese Society of Agricultural Engineering, 1983,26(1):153-156.
[9] 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.
[10] KEO Soksamnang,何洪鸣,赵宏飞,等.黄土高原50余年来降雨侵蚀力变化及其对土壤侵蚀的影响[J].水土保持研究,2018,25(2):1-6.
[11] Huang J, Zhang J C, Zhang Z X, et al. Spatial and temporal variations in rainfall erosivity during 1960—2005 in the Yangtze River basin[J]. Stochastic Environmental Research and Risk Assessment, 2013,27(2):337-351.
[12] 何绍浪,郭小君,李凤英,等.中国南方地区近60 a来降雨量与降雨侵蚀力时空变化研究[J].长江流域资源与环境,2017,26(9):115-125.
[13] 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.
[14] 邵祎婷,何毅,穆兴民,等.秦巴山区降雨侵蚀力时空变化特征[J].长江流域资源与环境,2019,28(2):416-425.
[15] 曾瑜,厉莎,胡煜彬.1961—2014年鄱阳湖流域降雨侵蚀力时空变化特征[J].生态与农村环境学报,2019,35(1):106-114.
[16] 张利超,王辉文,谢颂华.江西省水土流失现状与发展趋势分析[J].水土保持研究,2016,23(1):356-359.
[17] 龚向民,李昆,刘筱琴,等.赣江流域水土流失现状与发展态势研究[J].人民长江,2006,37(8):48-50.
[18] 郑海金,方少文,杨洁,等.近40年赣江年径流泥沙变化及影响因素分析[J].水土保持学报,2012,26(1):28-32.
[19] 肖洋,张汶海,张颖.赣江中下游近60年水沙时空分布特征[J].水文,2014,34(6):86-92.
[20] Yu B, Rosewell. An assessment of a daily rainfall erosivity model for New South Wales [J]. Australian Journal of Soil Research, 1996,34(1):139-152.
[21] Yu B. Rainfall erosivity and its estimation for Australia’s tropics [J]. Australian Journal of Soil Research, 1998,36(1):143-165.
[22] 宁丽丹,石辉.利用日降雨量资料估算西南地区的降雨侵蚀力[J].水土保持研究,2003,10(4):183-186.
[23] 胡续礼,潘剑君,杨树江,等.几种降雨侵蚀力模型的比较研究[J].水土保持通报,2006,26(1):68-70.
[24] 林璐,刘金涛,甘升伟,等.基于TFPW-MK法的太湖流域湖西区降水时空变化分析[J].水电能源科学,2018,36(4):1-5.
[25] 刘卫林,刘丽娜.修河流域洪水变化特征及其对气候变化的响应[J].水土保持研究,2018,130(5):316-322.
[26] 孟庆香,刘国彬,杨勤科.基于GIS的黄土高原气象要素空间插值方法[J].水土保持研究,2010,17(1):10-14.
[27] 汪青静,许崇育,陈华.克里金日降水插值的不同变异函数比较分析[J].水资源研究,2016,5(5):469-477.
[28] 马良,姜广辉,左长清,等.江西省50余年来降雨侵蚀力变化的时空分布特征[J].农业工程学报,2009,25(10):61-68.
- Similar References:
Memo
-
Last Update:
2020-02-25