TRMM数据在中国降雨侵蚀力计算中的应用

摘要/Abstract

摘要： 长时间序列降雨过程资料的获取一直是降雨侵蚀力计算中的一个难题。尝试利用地面实测站点数据分别对TRMM(Tropical Rainfall Measuring Mission)卫星的3B43和3B42数据进行回归建模和订正,并采用订正后的3 h平均降雨强度代替30 min最大降雨强度,同时基于TRMM数据的EI180的降雨侵蚀力算法,计算出了全国南北纬50°范围(TRMM覆盖区)内2013年月、季和年降雨侵蚀力;最后分别计算了省域和区域尺度下的降雨侵蚀力对全国尺度下的结果进行对比验证。结果表明:(1) TRMM降水数据比地面站点观测的降水量略大,但与实测站点数据具有很好的线性回归关系,其季尺度决定系数R²均较高,由此也说明了TRMM数据可以很好地反映全国范围内降雨的季节性变化。(2)利用订正后的TRMM3B42数据计算出研究区内的年均降雨侵蚀力为536.02 MJ·mm·hm^-2·h^-1·a^-1,其降雨侵蚀主要集中在5~8月份。(3) 2013年全国降雨侵蚀变化趋势由东南向西北方向逐渐降低,且沿海省份较内陆省份降雨侵蚀较高。(4)通过对年降雨侵蚀力结果与实测站点降雨量以及订正的TRMM降水数据分析表明,降雨侵蚀力与降水之间存在着紧密的二次非线性关系。(5)通过尺度验证,其中省域尺度验证误差为8.34%,区域尺度误差仅为0.24%,由此说明了TRMM数据在不同尺度下均具有良好的适应性,同时也验证了方法在不同尺度下的有效性。该方法为有效解决土壤侵蚀中降雨强度计算资料缺乏的瓶颈,同时也为降雨侵蚀力的计算提供了一条有效的途径。

关键词: TRMM, 降雨侵蚀力, 回归建模, 降雨强度, 季节性变化, 二次非线性关系

Abstract: Long time series rainfall data had always been a difficult problem in the calculation of rainfall erosivity. This paper attempted to make regression modeling and correction on the TRMM(tropical rainfall measuring mission)3B42 and 3B43 data by using the measured rainfall data of meteorological stations, and then took the corrected 3 hours average rainfall intensity instead of the maximum rainfall intensity of 30 minutes, and calculated the rainfall erosivity on the month, season and year scales within the extent of 50 degrees of latitude from south to north of China(TRMM covered area)in 2013 by the method of EI180. At last, this paper chose the provincial and sub-regional scale to validate the results of national scale. These results showed as follows:(1) The TRMM data is a little lager than the measured rainfall data in China, however, it is a good linear regression relation between the measured and TRMM rainfall data, and the seasonal determination coefficient(R2)are above 0.6, and the highest level is as much as above 0.87, which verified that the seasonal variation of precipitation can be well reflected with TRMM data of China, and also can be applied to rainfall erosivity;(2) This paper calculated that the average annual rainfall erosivity is 536.02 MJ·mm·hm^-2·h^-1·a^-1 by using the corrected TRMM 3B42 data in 2013, and the rainfall erosivity concentrated in the month of May to August;(3) The calculated rainfall erosivity trend is reduced gradually from southeast to northeast, and also the rainfall erosivity of coastal provinces is higher than that of the inland provinces, and the order of rainfall erosivity from high to low is south China, east China, central China, northeast, southwest, north and northwest in turn;(4) By analysis the relations between the rainfall erosivity and the rainfall of meteorological stations as well as the corrected TRMM data show that there exist a quadratic nonlinear relation between them closely;(5) By validation with different scales, the error of provincial scale is 8.34% and that of sub-regional scale is 0.2%, which validates that TRMM data is well of applicability in different scales, and the method of this paper is effective. However, under the background of large scale, this paper would ignore some regions inevitably where TRMM data is poor of applicability, and the TRMM data would have much gap with the measured rainfall data of meteorological stations, which leads some error of the rainfall erosivity results to some extent, therefore, it is important that these regions be considered separately in the future researches. In a word, the method in this paper can provide certain reference basis for solving the bottleneck of lacking calculated rainfall intensity data in the soil erosion effectively as well as provide an effective way for calculating rainfall erovisity.

Key words: Tropical Rainfall Measuring Mission, Rainfall Erosivity, Regression Modeling, Rainfall Intensity, Seasonal Variation

中图分类号:

S157

王凯, 陈璐, 马金辉, 刘飞. TRMM数据在中国降雨侵蚀力计算中的应用[J]. 干旱区地理, 2015, 38(5): 948-959.

WANG Kai, CHEN Lu, MA Jinhui, LIU Fei. Calculation of rainfall erosivity in China with TRMM Data[J]. , 2015, 38(5): 948-959.

参考文献

[1] ZHANG G H, NEARING M, LIU B Y. Potential effects of climate change on rainfall erosivity in the Yellow River basin of China[J]. Transactions of the ASAE, 2005, 48(2):511-517.

[2] WISCHMEIER W H, SMITH D D. Rainfall energy and its relationship to soil loss[J]. Transactions, American Geophysical Union, 1958, 39:285-291.

[3] FOSTER G R, LOMBARDI F, MOLDENHAUER W C. Evaluation of rainfall-runoff erosivity factors for individual storms[J]. Transactions of the ASAE[American Society of Agricultural Engineers], 1982.

[4] BAGERELLO V, D'ASARO F. Estimating single storm erosion index[J]. Transactions of the ASAE(USA), 1994.

[5] LAL R. Soil erosion on Alfisols in western Nigeria:Ⅲ.Effects of rainfall characteristics[J]. Geoderma, 1976, 16(5):389-401.

[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].土壤侵蚀与水土保持学报, 1996, 2(1):29-39.[WANG Wanzhong, JIAO Juying, HAO Xiaopin, et al. Distribution of rainfall erosivity R value in China(Ⅱ)[J]. Journal of Soil Erosion and Soil Conservation, 1996, 2(1):29-39.]

[7] 贾志军,王小平,李俊义.晋西黄土丘陵沟壑区降雨侵蚀力指标R值的确定[J].中国水土保持, 1987, (6):18-20.[JIA Zhijun, WANG Xiaoping, LI Junyi. The R index of rainfall erosivity in hilly and gully area of loess in west of Jin[J]. Journal of Chinese Soil and Water Conservation, 1987, (6):18-20.]

[8] 吴素业.安徽大别山区降雨侵蚀力简化算法与时空分布规律[J].中国水土保持, 1994, (4):12-13.[WU Suye. A simplified algorithm and the time-space distribution of rainfall erosivity in Anhui Dabie Mountain[J]. Journal of Chinese Soil and Water Conservation, 1994, (4):12-13.]

[9] 张宪奎,许靖华,卢秀琴,等.黑龙江省土壤流失方程的研究[J].水土保持通报, 1992, 12(4):1-9.[ZHANG Xiankui, XU Jinghua, LU Xiuqin, et al. A study on the soil loss equation in Heilongjiang Province[J]. Bulletin of Soil and Water Conservation, 1992, 12(4):1-9.]

[10] 杨子生.滇东北山区坡耕地降雨侵蚀力研究[J].地理科学, 1999, 19(3):265-270.[YANG Zisheng. A study on erosive force of rainfall on sloping cultivated land in the northeast mountain region of Yunnan Province[J]. Scientia Geographica Sinica, 1999, 19(3):265-270.]

[11] 刘文耀.云南昭通坝区降雨侵蚀力R指标的初步研究[J].云南林业科技, 1999, (2):24-26.[LIU Wenyao. Preliminary study on R index of Zhaotong Basin[J]. Yunnan Forestry Science and Technology, 1999, (2):24-26.]

[12] 陈法扬,王志明.通用土壤流失方程在小良水土保持试验站的应用[J].水土保持通报, 1992, 12(1):23-41.[CHEN Fayang, WANG Zhiming. Application of universal soil loss equation at Xiaoliang water and soil conservation experiment station[J]. Bulletin of Soil and Water Conservation, 1992, 12(1):23-41.]

[13] 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.[ZHANG Wenbo, XIE Yun, LIU Baoyuan. Rainfall erosivity estimation using daily rainfall amounts[J]. Scientia Geographica Sinica, 2002, 22(6):705-711.]

[14] 赵文武,朱婧,郭雯雯.基于降雨量和降雨时间的月降雨侵蚀力简易算法——以陕北黄土丘陵沟壑区为例[J].中国水土保持科学, 2008, 5(6):8-14.[ZHAO Wenwu, ZHU Jing, GUO Wenwen. Estimation of monthly rainfall erosivity based on rainfall amount and rainfall time:A case in hilly and gully area of Loess Plateau in northern Shaanxi[J]. Science of Soil and Water Conservation, 2008, 5(6):8-14.]

[15] 曾红伟,李丽娟.澜沧江及周边流域TRMM 3B43数据精度检验[J].地理学报, 2011, 66(7):994-1004.[ZENG Hongwei, LI Lijuan. Accuracy validation of TRMM 3B43 data in Lancang river basin[J]. Acta Geographica Sinica, 2011, 66(7):994-1004.]

[16] 刘鹏,傅云飞,冯沙,等.中国南方地基雨量计观测与星载测雨雷达探测降水的比较分析[J].气象学报, 2011, (6):822-835.[LIU Peng, FU Yunfei, FENG Sha, et al. A comparison of the precipitation from rain gauge observations with from TRMM PR measurements in the southern China[J]. Acta Meteorologica Sinica, 2011, (6):822-835.]

[17] 谷黄河,余钟波,杨传国,等.卫星雷达测雨在长江流域的精度分析[J].水电能源科学, 2010, 28(8):3-6.[GU Huanghe, YU Zhongbo, YANG Chuanguo, et al. Application of satellite radar observed precipitation to accuracy analysis in Yangtze River Basin[J]. Water Resources and Power, 2010, 28(8):3-6.]

[18] 杨艳芬,罗毅.中国西北干旱区TRMM遥感降水探测能力初步评价[J].干旱区地理, 2013, 36(3):311-382.[YANG Yanfen, LUO Yi, Evaluation on detective ability of TRMM remote sensing precipitation in arid region of northwest China[J]. Arid Land Geography, 2013, 36(3):311-382.]

[19] 季漩,罗毅. TRMM降水数据在中天山区域的精度评估分析[J].干旱区地理, 2013, 36(2):253-262.[JI Xuan, LUO Yi. Quality assessment of the TRMM precipitation data in Mid Tianshan Mountains[J]. Arid Land Geography, 2013, 36(2):253-262.]

[20] 朱强,陈秀万,樊启祥,等.基于TRMM的降雨侵蚀力计算方法[J].中国科学:技术科学, 2011, 41(11):1483-1492.[ZHU Qiang, CHEN Xiuwan, FAN Qixiang, et al. A method to calculate rainfall erosivity based on TRMM[J]. Science in China:Technological Science, 2011, 41(11):1483-1492.]

[21] 马金辉,屈创,张海筱,等. 2001-2010年石羊河流域上游TRMM降水资料的降尺度研究[J].地理科学进展, 2013, (9):1423-1432.[MA Jinhui, QU Chuang, ZHANG Haixiao, et al. Spatial downscaling of TRMM precipitation data based on DEM in the upstream of Shiyang River during 2001-2010[J]. Progress in Geography, 2013, (9):1423-1432.]