遥感降水产品在澜沧江流域径流模拟中的适用性研究
|
摘要
以澜沧江流域为研究区域,基于实测降水数据,从日尺度、月尺度到年尺度分别评价了TRMM 3B42 V7、CMORPH CRT、TRMM 3B42 RT、PERSIANN 4种遥感降水产品在格网尺度上的精度,并用实测降水数据和筛选出的精度较高的遥感降水产品驱动SWAT模型进行了径流模拟,以进一步探究遥感降水产品在澜沧江流域的适用性。结果表明:4种遥感降水产品在日尺度上精度都不高,与实测降水的相关系数都低于0.5。从整体看,TRMM 3B42 V7精度最高,月、年尺度下与实测降水的相关系数依次为0.95、0.90,CMORPH CRT精度稍低于TRMM 3B42 V7,其在月、年尺度下与实测降水的相关系数依次为0.89、0.77,TRMM 3B42 RT和PERSIANN精度较差,两者在不同时间尺度下与实测降水的相关系数都较低,基本都维持在0.5以下;径流模拟结果发现TRMM 3B42 V7和CMORPH CRT两种遥感降水产品对流域出口断面日、月径流模拟的能力均不如实测降水,但整体上三者都能够较好地反映出实测径流变化的趋势,三者径流模拟对应的纳西效率系数NS在0.65～0.94范围内;从纳西效率系数NS看,三者对应的数值相差幅度极小,从多年平均径流RE看,三者都表现出低估的情形,但与前两者(低估值在-4%～-10%范围内)相比,CMORPH CRT(低估值在-10%～-20%范围内)低估的幅度较大;TRMM 3B42 V7在整体上的径流模拟效果优于CMORPH CRT,在澜沧江流域具有更好的径流模拟适用性。
Based on the observed rainfall data, the accuracy of four remote sensing precipitation products, such as TRMM 3 B42 V7, CMORPH CRT, PERSIANN and TRMM 3 B42 RT, were evaluated in the Lancang River Basin. The evaluation was performed at multiple time scales, ranging from daily to yearly, for the years from 2001 to 2014, but only one spatial scale: grid spatial scale. On the ground of observations and the selected high-accuracy products, the SWAT model was applied in runoff simulation to further explore the applicability of remote sensing precipitation products in the Lancang River Basin. The results show that four products present low accuracy on daily time scale, and their correlation coefficients(R) with observed rainfall data are less than 0.5; as a whole, TRMM 3 B42 V7 is the most accurate dataset with R being 0.95, 0.90, from monthly to yearly time scale, respectively; the accuracy of CMORPH CRT is slightly lower than that of TRMM 3 B42 V7, with R being 0.89, 0.77, from monthly to yearly time scale, respectively; TRMM 3 B42 RT and PERSIANN have present poor accuracy, and their R in different time scales are relatively low, with R basically maintaining below 0.5. The runoff simulation results show that the skills of TRMM 3 B42 V7 and CMORPH CRT are not as good as that of the observed rainfall data on simulating the daily and monthly runoff of the river basin outlet section, but all three can better reflect the variation trend of measured runoff in runoff simulation with the corresponding Nash-Sutcliffe coefficient(NS) of the three keeping within the range of 0.65-0.94. From the perspective of the NS, the value difference of the three is insignificant. From the perspective of relative error of water quantity(RE), all of them underestimate water quantity, but the RE value of CMORPH CRT(within the range of-10%—-20%) is larger than that of the other two( within the range of-4%—-10%). Overall, the runoff simulation capability of TRMM 3 B42 V7 is better than that of CMORPH CRT in the Lancang River Basin.
Based on the observed rainfall data, the accuracy of four remote sensing precipitation products, such as TRMM 3 B42 V7, CMORPH CRT, PERSIANN and TRMM 3 B42 RT, were evaluated in the Lancang River Basin. The evaluation was performed at multiple time scales, ranging from daily to yearly, for the years from 2001 to 2014, but only one spatial scale: grid spatial scale. On the ground of observations and the selected high-accuracy products, the SWAT model was applied in runoff simulation to further explore the applicability of remote sensing precipitation products in the Lancang River Basin. The results show that four products present low accuracy on daily time scale, and their correlation coefficients(R) with observed rainfall data are less than 0.5; as a whole, TRMM 3 B42 V7 is the most accurate dataset with R being 0.95, 0.90, from monthly to yearly time scale, respectively; the accuracy of CMORPH CRT is slightly lower than that of TRMM 3 B42 V7, with R being 0.89, 0.77, from monthly to yearly time scale, respectively; TRMM 3 B42 RT and PERSIANN have present poor accuracy, and their R in different time scales are relatively low, with R basically maintaining below 0.5. The runoff simulation results show that the skills of TRMM 3 B42 V7 and CMORPH CRT are not as good as that of the observed rainfall data on simulating the daily and monthly runoff of the river basin outlet section, but all three can better reflect the variation trend of measured runoff in runoff simulation with the corresponding Nash-Sutcliffe coefficient(NS) of the three keeping within the range of 0.65-0.94. From the perspective of the NS, the value difference of the three is insignificant. From the perspective of relative error of water quantity(RE), all of them underestimate water quantity, but the RE value of CMORPH CRT(within the range of-10%—-20%) is larger than that of the other two( within the range of-4%—-10%). Overall, the runoff simulation capability of TRMM 3 B42 V7 is better than that of CMORPH CRT in the Lancang River Basin.
引文
[1] 唐国强,李哲,薛显武,等.赣江流域TRMM遥感降水对地面站点观测的可替代性[J].水科学进展,2015,26(3):340-346.TANG G Q,LI Z,XUE X W,et al.A study of substitutability of TRMM remote sensing precipitation for gauge-based observation in Ganjiang River basin[J].Advances in Water Science,2015,26(3):340-346.
[2] NEW M,TODD M,HULME M,et al.Precipitation measurements and trends in the twentieth century[J].International Journal of Climatology,2001,21(15):1889-1922.
[3] 张利平,张晓琳,王任超,等.雷达估算降雨的同化方法对比[J].武汉大学学报(工学版),2011,44(2):146-150.ZHANG L P,ZHANG X L,WANG R C,et al.The compare research of the rainfall data assimilation methods based on the radar[J].Engineering Journal of Wuhan University,2011,44(2):146-150.
[4] 孙乐强,郝振纯,王加虎,等.TMPA卫星降水数据的评估与校正[J].水利学报,2014(10):1135-1146.SUN L Q,HAO Z C,WANG J H,ER AL.Assessment and correction of TMPA products 3B42RT and 3B42V6[J].SHUILI XUEBAO ,2014(10):1135-1146.
[5] 江善虎,任立良,雍斌,等.TRMM卫星降水数据在洣水流域径流模拟中的应用[J].水科学进展,2014,25(5):641-649.JIANG S H,REN L L,YONG B,et al.Hydrological evaluation of the TRMM multi-satellite precipitation estimates over the Mishui basin[J].Advances in Water Science,2014,25(5):641-649.
[6] 王兆礼,钟睿达,赖成光,等.TRMM卫星降水反演数据在珠江流域的适用性研究 ——以东江和北江为例[J].水科学进展,2017,28(2):174-182.WANG Z L,ZHONG R D,LAI C G,et al.Evaluation of TRMM 3B42-V7 satellite-based precipitation data product in the Pearl River basin,China:Dongjiang River and Beijiang River basin as examples[J].Advances in Water Science,2017,28(2):174-182.
[7] LIU J,ZHU A,DUAN Z.Evaluation of TRMM 3B42 Precipitation Product using Rain Gauge Data in Meichuan Watershed,Poyang Lake Basin,China[J].资源与生态学报(英文版),2012,3(4):359-366.
[8] COLLISCHONN B,COLLISCHONN W,TUCCI C E M.Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates[J].Journal of Hydrology,2008,360(1):207-216.
[9] LI X H,ZHANG Q,XU C Y.Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment,Poyang lake basin[J].Journal of Hydrology,2012,426-427(7):28-38.
[10] ZHAO H,YANG S,WANG Z,et al.Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China[J].Journal of Geographical Sciences(地理学报(英文版),2015,25(2):177-195.
[11] 邹磊,夏军,陈心池,等.多套降水产品精度评估与可替代性研究[J].水力发电学报,2017,36(5):36-46.ZOU L,XIA J,CHEN X C,et al.Accuracy evaluation and substitutability analysis of multiple precipitation products for gauge-based observation[J].Journal of Hydroelectric Engineering,2017,36(5):36-46.
[12] 成璐,沈润平,师春香,等.CMORPH和TRMM 3B42降水估计产品的评估检验[J].气象,2014(11):1372-1379.CHENG L,SHEN R P,SHI C X,et al.Evaluation and verification of CMORPH and TRMM 3B42 precipitation estimation products [J].Meteorological Monthly,2014(11):1372-1379.
[13] 王佳伶,陈华,许崇育,等.TRMM卫星降雨数据的精度及径流模拟评估[J].水资源研究,2016(5):434-445.WANG J L,CHEN H,XU C Y,et al.Evaluation of accuracy and streamflow simulation of TRMM satellite precipitation data[J].Journal of Water Resources Research,2016(5):434-445.
[14] 贺志华.高山流域降水径流过程机理及模拟研究[D].北京:清华大学,2015.HE Z H.Research on hydological modeling in high mountian basins[D].Tsinghua University,2015.
[15] 中国气象数据网[EB/OL].[20180401].http://data.cma.cn/site/index.html.National Meteorological Information Center[EB/OL].[20180401].http://data.cma.cn/site/index.html.
[16] 李瑞泽.环渤海地区卫星降水产品精度检验及校正[D].鲁东大学,2016.LI R Z.Comprehensive evaluation and calibration of satellite-based precipitation products in Circum-Bohai-Sea Region[D].Ludong University,2016.
[17] 朱红雷,史晓亮,李英臣,等.基于SWAT模型的TRMM降水数据径流模拟适宜性评价[J].水土保持研究,2017,24(5):105-112.ZHU H L,SHI X L,LI Y C,et al.Evaluation of runoff simulation using TRMM precipitation data based on SWAT model[J].Research of Soil and Water Conservation,2017,24(5):105-112.
[18] 孙乐强,郝振纯,王加虎,等.TMPA卫星降水数据的评估与校正[J].水利学报,2014,45(10):1135-1146.SUN L Q,HE Z C,WANG J H,et al.Assessment and correction of TMPA products 3B42RT and 3B42V6[J].Shuili Xuebao,2014,45(10):1135-1146.
[19] 高蜻.SWAT模型在望谟河流域适用性研究[D].贵州大学,2015.GAO Q.Applicability of SWAT model study in Wangmo River Basin [D].Guizhou University,2015.
[20] 朱仟.气候变化下降水输入和水文模型参数对水文模拟的影响[D].浙江大学,2017.ZHU Q.Effects of precipitation products and parameters in hydrological model on hydrological simulation under climate change[D].Zhejiang University,2017.
[21] 高超,陆苗,姚梦婷,等.SWIM水文模型在王家坝地区的适用性评估[J].水土保持通报,2018,38(1):152-159.GAO C,LU M,YAO M T,et al.Applicability evaluation of the SWIM hydrological model in Wangjiaba Region of China[J].Bulletin of Soil and Water Conservation,2018,38(1):152-159.
[22] 袁军营,苏保林,李卉,等.基于SWAT模型的柴河水库流域径流模拟研究[J].北京师范大学学报(自然科学版),2010,46(3):361-365.YUAN J Y,SU B L,LI H,et al.Runoff simulation in chaihe Reservoir catchment based on SWAT model[J].Journal of Beijing Normal University(Natural Science ),2010,46(3):361-365.
[23] JIANG Q,LI W,WEN J,et al.Accuracy evaluation of two high-resolution satellite-based rainfall products:TRMM 3B42V7 and CMORPH in Shanghai[J].Water,2018,10(1):40.
[24] 姜倩妮.多目标GLUE框架下水文模型参数不确定性及参数移植适用性分析[D].北京:中国地质大学(北京),2018.JIANG Q N.Analysis of parameter uncertainty and its transfer applicability in hydrological modeling using multi-criteria GLUE method[D].Beijing:China University of Geosciences(Beijing) ,2018.
[2] NEW M,TODD M,HULME M,et al.Precipitation measurements and trends in the twentieth century[J].International Journal of Climatology,2001,21(15):1889-1922.
[3] 张利平,张晓琳,王任超,等.雷达估算降雨的同化方法对比[J].武汉大学学报(工学版),2011,44(2):146-150.ZHANG L P,ZHANG X L,WANG R C,et al.The compare research of the rainfall data assimilation methods based on the radar[J].Engineering Journal of Wuhan University,2011,44(2):146-150.
[4] 孙乐强,郝振纯,王加虎,等.TMPA卫星降水数据的评估与校正[J].水利学报,2014(10):1135-1146.SUN L Q,HAO Z C,WANG J H,ER AL.Assessment and correction of TMPA products 3B42RT and 3B42V6[J].SHUILI XUEBAO ,2014(10):1135-1146.
[5] 江善虎,任立良,雍斌,等.TRMM卫星降水数据在洣水流域径流模拟中的应用[J].水科学进展,2014,25(5):641-649.JIANG S H,REN L L,YONG B,et al.Hydrological evaluation of the TRMM multi-satellite precipitation estimates over the Mishui basin[J].Advances in Water Science,2014,25(5):641-649.
[6] 王兆礼,钟睿达,赖成光,等.TRMM卫星降水反演数据在珠江流域的适用性研究 ——以东江和北江为例[J].水科学进展,2017,28(2):174-182.WANG Z L,ZHONG R D,LAI C G,et al.Evaluation of TRMM 3B42-V7 satellite-based precipitation data product in the Pearl River basin,China:Dongjiang River and Beijiang River basin as examples[J].Advances in Water Science,2017,28(2):174-182.
[7] LIU J,ZHU A,DUAN Z.Evaluation of TRMM 3B42 Precipitation Product using Rain Gauge Data in Meichuan Watershed,Poyang Lake Basin,China[J].资源与生态学报(英文版),2012,3(4):359-366.
[8] COLLISCHONN B,COLLISCHONN W,TUCCI C E M.Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates[J].Journal of Hydrology,2008,360(1):207-216.
[9] LI X H,ZHANG Q,XU C Y.Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment,Poyang lake basin[J].Journal of Hydrology,2012,426-427(7):28-38.
[10] ZHAO H,YANG S,WANG Z,et al.Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China[J].Journal of Geographical Sciences(地理学报(英文版),2015,25(2):177-195.
[11] 邹磊,夏军,陈心池,等.多套降水产品精度评估与可替代性研究[J].水力发电学报,2017,36(5):36-46.ZOU L,XIA J,CHEN X C,et al.Accuracy evaluation and substitutability analysis of multiple precipitation products for gauge-based observation[J].Journal of Hydroelectric Engineering,2017,36(5):36-46.
[12] 成璐,沈润平,师春香,等.CMORPH和TRMM 3B42降水估计产品的评估检验[J].气象,2014(11):1372-1379.CHENG L,SHEN R P,SHI C X,et al.Evaluation and verification of CMORPH and TRMM 3B42 precipitation estimation products [J].Meteorological Monthly,2014(11):1372-1379.
[13] 王佳伶,陈华,许崇育,等.TRMM卫星降雨数据的精度及径流模拟评估[J].水资源研究,2016(5):434-445.WANG J L,CHEN H,XU C Y,et al.Evaluation of accuracy and streamflow simulation of TRMM satellite precipitation data[J].Journal of Water Resources Research,2016(5):434-445.
[14] 贺志华.高山流域降水径流过程机理及模拟研究[D].北京:清华大学,2015.HE Z H.Research on hydological modeling in high mountian basins[D].Tsinghua University,2015.
[15] 中国气象数据网[EB/OL].[20180401].http://data.cma.cn/site/index.html.National Meteorological Information Center[EB/OL].[20180401].http://data.cma.cn/site/index.html.
[16] 李瑞泽.环渤海地区卫星降水产品精度检验及校正[D].鲁东大学,2016.LI R Z.Comprehensive evaluation and calibration of satellite-based precipitation products in Circum-Bohai-Sea Region[D].Ludong University,2016.
[17] 朱红雷,史晓亮,李英臣,等.基于SWAT模型的TRMM降水数据径流模拟适宜性评价[J].水土保持研究,2017,24(5):105-112.ZHU H L,SHI X L,LI Y C,et al.Evaluation of runoff simulation using TRMM precipitation data based on SWAT model[J].Research of Soil and Water Conservation,2017,24(5):105-112.
[18] 孙乐强,郝振纯,王加虎,等.TMPA卫星降水数据的评估与校正[J].水利学报,2014,45(10):1135-1146.SUN L Q,HE Z C,WANG J H,et al.Assessment and correction of TMPA products 3B42RT and 3B42V6[J].Shuili Xuebao,2014,45(10):1135-1146.
[19] 高蜻.SWAT模型在望谟河流域适用性研究[D].贵州大学,2015.GAO Q.Applicability of SWAT model study in Wangmo River Basin [D].Guizhou University,2015.
[20] 朱仟.气候变化下降水输入和水文模型参数对水文模拟的影响[D].浙江大学,2017.ZHU Q.Effects of precipitation products and parameters in hydrological model on hydrological simulation under climate change[D].Zhejiang University,2017.
[21] 高超,陆苗,姚梦婷,等.SWIM水文模型在王家坝地区的适用性评估[J].水土保持通报,2018,38(1):152-159.GAO C,LU M,YAO M T,et al.Applicability evaluation of the SWIM hydrological model in Wangjiaba Region of China[J].Bulletin of Soil and Water Conservation,2018,38(1):152-159.
[22] 袁军营,苏保林,李卉,等.基于SWAT模型的柴河水库流域径流模拟研究[J].北京师范大学学报(自然科学版),2010,46(3):361-365.YUAN J Y,SU B L,LI H,et al.Runoff simulation in chaihe Reservoir catchment based on SWAT model[J].Journal of Beijing Normal University(Natural Science ),2010,46(3):361-365.
[23] JIANG Q,LI W,WEN J,et al.Accuracy evaluation of two high-resolution satellite-based rainfall products:TRMM 3B42V7 and CMORPH in Shanghai[J].Water,2018,10(1):40.
[24] 姜倩妮.多目标GLUE框架下水文模型参数不确定性及参数移植适用性分析[D].北京:中国地质大学(北京),2018.JIANG Q N.Analysis of parameter uncertainty and its transfer applicability in hydrological modeling using multi-criteria GLUE method[D].Beijing:China University of Geosciences(Beijing) ,2018.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |