使用积雪遥感面积数据改善山区春季融雪径流模拟精度

doi:10.7522/j.isnn.1000-0240.2016.0024

冰川冻土 ›› 2016, Vol. 38 ›› Issue (1): 211-221.doi: 10.7522/j.isnn.1000-0240.2016.0024

使用积雪遥感面积数据改善山区春季融雪径流模拟精度

闫玉娜^1,2,3, 车涛^1,3, 李弘毅^1,3, 秦越⁴

1. 中国科学院寒区旱区环境与工程研究所, 甘肃兰州 730000;
2. 中国科学院大学, 北京 100049;
3. 中国科学院黑河遥感试验研究站, 甘肃兰州 730000;
4. 清华大学水利水电工程系水沙科学与水利水电工程重点实验室, 北京 100084

收稿日期:2015-10-23 修回日期:2015-11-25 出版日期:2016-02-25 发布日期:2016-05-30
通讯作者: 车涛,E-mail:chetao@lzb.ac.cn. E-mail:chetao@lzb.ac.cn
作者简介:闫玉娜(1990-),女,山东菏泽人,2012年毕业于曲阜师范大学,现为中国科学院寒区旱区环境与工程研究所在读硕士研究生,从事积雪遥感与寒区水文模拟研究.E-mail:yunayan2008@163.com
基金资助:
中国科学院西部行动计划项目(KZCX2-XB3-15);国家自然科学基金项目(41271356)资助

Using snow remote sensing data to improve the simulation accuracy of spring snowmelt runoff: take Babao River basin as an example

YAN Yuna^1,2,3, CHE Tao^1,3, LI Hongyi^1,3, QIN Yue⁴

1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Heihe Remote Sensing Experimental Research Station, Chinese Academy of Sciences, Lanzhou 730000, China;
4. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China

Received:2015-10-23 Revised:2015-11-25 Online:2016-02-25 Published:2016-05-30

摘要/Abstract

摘要： 随着寒区水文模拟研究的深入,春季融雪径流模拟误差大这一问题越来越明显.针对此问题,以八宝河流域为研究区,利用积雪衰减曲线将MODIS积雪面积比例产品转化为雪水当量,并用其更新分布式水文模型GBHM(Geomorphology-Based Hydrological Model)中模拟的雪水当量,达到提高春季融雪径流模拟精度的目的.利用GBHM模型对八宝河流域2005-2007年进行了模型预热,参数率定,同时选择2008年进行模型检验.结果表明:GBHM模型在八宝河流域有较好的径流模拟精度,年均纳什效率系数(NSE)达到0.64.但模型对春季融雪过程的模拟效果较差,通过引入积雪遥感数据,这一问题得到很大改善.加入积雪遥感数据后,2008年3-6月径流模拟精度NSE和相对偏差Bias分别由-1.0、-0.45改进为0.58、0.06,单点雪水当量模拟精度获得提高,流域水量平衡也更加合理.

关键词: 积雪遥感数据, 春季融雪径流, 积雪衰减曲线, GBHM模型

Abstract: With the development of hydrologic simulation in cold regions, the large simulation error of spring snowmelt runoff has become one of the largest uncertainties. In this study, Babao River basin was selected as the study area which is regarded as the representative alpine catchment and GBHM (Geomorphology Based Hydrological Model) was established to simulation the watershed hydrological process. Then, the maneuverability of the GBHM was discussed and analyzed. On this basis, the snow cover extent (SCE) product with cloud reducing which retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to update GBHM snow water equivalent(SWE) for a more accurate description of the spring snowmelt runoff process. A simple snow depletion curve model was used for the necessary SWE-SCE inversion. And, the model's calibration period (2005-2007) and validation period (2008) was chosen. The results show that: the model can basically reflect the trend of the runoff and achieve good simulation accuracy with the average annual Nash-Sutcliffe coefficient(NSE) reached 0.64. However, the model doesn't work well during spring snowmelt process. After applying snow remote sensing data into GBHM, this situation has been improved. The NSE and Bias of spring snowmelt runoff respectively from -1.0, -0.45 become 0.58, 0.06, the SWE of grid gets more accurate, and water balance is more reasonable after adding remote sensing data between March and June 2008.

Key words: snow remote sensing data, spring snowmelt runoff, snow depletion curve, GBHM model

中图分类号:

P407.8

闫玉娜, 车涛, 李弘毅, 秦越. 使用积雪遥感面积数据改善山区春季融雪径流模拟精度[J]. 冰川冻土, 2016, 38(1): 211-221.

YAN Yuna, CHE Tao, LI Hongyi, QIN Yue. Using snow remote sensing data to improve the simulation accuracy of spring snowmelt runoff: take Babao River basin as an example[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2016, 38(1): 211-221.

参考文献

[1] Cheng Guodong, Li Xin, Zhao Wenzhi, et al. Integrated study of the water-ecosystem-economy in the Heihe River Basin[J]. National Science Review, 2014, 1(3): 413-428.
[2] Yin Zhenliang, Xiao Honglang, Zou Songbing, et al. Progress of the research on hydrological simulation in the mainstream of the Heihe River, Qilian Mountains[J]. Journal of Glaciology and Geocryology, 2013, 35(2): 438-446.[尹振良, 肖洪浪, 邹松兵, 等. 祁连山黑河干流山区水文模拟研究进展[J]. 冰川冻土, 2013, 35(2): 438-446.]
[3] He Yongqi. Snow hydrological simulation in alpine areas using remote sensing and GIS technologies[D]. Lanzhou: Lanzhou University, 2014.[何咏琪. 基于遥感及GIS技术的寒区积雪水文模拟研究[D]. 兰州: 兰州大学, 2014.]
[4] Allan F, Marco T, Lee Shihyan, et al. A review of global satellite-derived snow products[J]. Advances in Space Research, 2012, 50(8): 1007-1029.
[5] Li Xin, Cheng Guodong, Jin Huijun, et al. Cryospheric change in China[J]. Global and Planetary Change, 2008, 62(3): 210-218.
[6] Wang Jian, Li Hongxing, Hao Xiaohua, et al. Remote sensing for snow hydrology in China: challenges and perspectives[J]. Journal of Applied Remote Sensing, 2014, 8(1). doi:10.1117/1.JRS.8.084687.
[7] Chen Hao, Nan Zhuotong, Wang Shugong, et al. Simulating the water-heat processes on typical sites in the mountainous areas of the upper reaches of the Heihe River[J]. Journal of Glaciology and Geocryology, 2013, 35(1): 126-137.[陈浩, 南卓铜, 王书功, 等. 黑河上游山区典型站的水热过程模拟研究[J]. 冰川冻土, 2013, 35(1): 126-137.]
[8] Rodell M, Houser P R. Updating a land surface model with MODIS derived snow cover[J]. Journal of Hydrometeorology, 2004, 5: 1064-1075.
[9] Li Hongyi, Wang Jian. Key research topics and their advances on modeling snow hydrological processes[J]. Journal of Glaciology and Geocryology, 2013, 35(2): 430-437.[李弘毅, 王建. 积雪水文模拟中的关键问题及其研宄进展[J]. 冰川冻土, 2013, 35(2): 430-437.]
[10] Huai Baojuan, Li Zhongqin, Sun Meiping, et al. Snowmelt runoff model applied in the headwaters region of Ürümqi River[J]. Arid Land Geography, 2013, 36(1): 41-48.[怀保娟, 李忠勤, 孙美平, 等. SRM融雪径流模型在乌鲁木齐河源区的应用研究[J]. 干旱区地理, 2013, 36(1): 41-48.]
[11] Zhao Jun, Huang Yongsheng, Song Geqing, et al. Application of snowmelt runoff model in upper stream of Shule River basin[J]. Journal of Water Resources & Water Engineering, 2015, 26(1): 72-76.[赵军, 黄永生, 宋阁庆, 等. SRM融雪径流模型在疏勒河流域上游的应用[J]. 水资源与水工程学报, 2015, 26(1): 72-76.]
[12] Wang Chao, Zhao Chuanyan, Feng Zhaodong. Simulating snowmelt process by using SRM in different watersheds in the upper reaches of Heihe River basin[J]. Journal of Lanzhou University (Natural Sciences), 2011, 47(3): 1-8.[王超, 赵传燕, 冯兆东. 黑河上游不同流域融雪过程的SRM模拟[J]. 兰州大学学报(自然科学版), 2011, 47(3): 1-8.]
[13] Li Hongyi, Wang Jian. The snowmelt runoff model application in the upper Heihe River basin[J]. Journal of Glaciology and Geocryology, 2008, 30(5): 769-775.[李弘毅, 王建. SRM融雪径流模型在黑河流域上游的模拟研究[J]. 冰川冻土, 2008, 30(5): 769-775.]
[14] Bavera D, De Michele C. Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation[J]. Hydrological Processes, 2009, 23(14): 1961-1972.
[15] Grunewald T, Schirmer M, Mott R, et al. Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment[J]. Cryosphere, 2010, 4(2): 215-225.
[16] Girotto M, Cortes G, Margulis S A, et al. Examining spatial and temporal variability in snow water equivalent using a 27 year reanalysis: Kern River watershed, Sierra Nevada[J]. Water Resources Research, 2014, 50(8): 6713-6734.
[17] Andreadis K M, Lettenmaier D P. Assimilating remotely sensed snow observations into a macroscale hydrology model[J]. Advances in Water Resources, 2006, 29(6): 872-886.
[18] Che Tao, Li Xin, Jin Rui, et al. Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth[J]. Remote Sensing of Environment, 2014, 143: 54-63.
[19] Liu Yuqiong, Peters-Lidard C D, Kumar S V, et al. Blending satellite-based snow depth products with in situ observations for streamflow predictions in the Upper Colorado River Basin[J]. Water Resources Research, 2015, 51(2): 1182-1202.
[20] Kang Ersi, Cheng Guodong, Dong Zengchuan. Glacier snow water resources and mountain runoff in the arid area of Northwest China[M]. Beijing: Science Press, 2002.[康尔泗, 程国栋, 董增川. 中国西北干旱区冰雪水资源与出山径流[M]. 北京: 科学出版社, 2002.]
[21] Jarvis A, Reuter H I, Nelson A, et al. Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90 m Database. http://srtm.csi.- cgiar.org.
[22] Wang Jianhua, Zhao Jun. Landuse/landcover data of the Heihe River Basin in 2000[Z]. Lanzhou: Heihe Plan Science Data Center, 2014. doi:10.3972/heihe.039.2014.db.[王建华, 赵军. 2012年新编黑河流域2000年土地利用/土地覆盖数据集[Z]. 兰州: 黑河计划数据管理中心, 2014. doi:10.3972/heihe.039.2014.db.]
[23] An Meiling, Zhang Bo, Sun Liwei, et al. Quantitative analysis of dynamic change of land use and its influencing factors in upper reaches of the Heihe River[J]. Journal of Glaciology and Geocryology, 2013, 35(2): 355-363.[安美玲, 张勃, 孙立炜, 等. 黑河上游土地利用动态变化及影响因素的定量分析[J]. 冰川冻土, 2013, 35(2): 355-363.]
[24] Greet J, Ma Mingguo. Long-term SPOT_Vegetation data of the Heihe river basin[Z]. 2006.[Greet J, 马明国. 中国地区长时间序列SPOT_Vegetation植被指数数据集[Z]. 2006.]
[25] Tang Zhiguang, Wang Jian, Li Hongyi, et al. Accuracy validation and cloud obscuration removal of MODIS fractional snow cover products over Tibetan Plateau[J]. Remote Sensing Technology and Application, 2013, 28(3): 423-430.[唐志光, 王建, 李弘毅, 等. 青藏高原MODIS积雪面积比例产品的精度验证与去云研究[J]. 遥感技术与应用, 2013, 28(3): 423-430.]
[26] Tang Zhiguang, Wang Jian, Li Hongyi, et al. Accuracy validation and cloud obscuration removal of MODIS fractional snow cover products over Tibetan Plateau[J]. Remote Sensing Technology and Application, 2013, 28(3): 423-430.[唐志光, 王建, 李弘毅, 等. 青藏高原MODIS积雪面积比例产品的精度验证与去云研究[J]. 遥感技术与应用, 2013, 28(3): 423-430.]
[27] Tang Zhiguang, Wang Jian, Li Hongyi, et al. Spatiotemporal changes of snow cover over the Tibetan Plateau based on cloud removed moderate resolution imaging spectroradiometer fractional snow cover product from 2001 to 2011[J]. Journal of Applied Remote Sensing, 2013, 7(1). http://dx.doi.org/10.1117/1.JRS.7.073582.
[28] Yang D, Koike T, Tanizawa H. Application of a distributed hydrological model and weather radar observations for flood management in the upper Tone River of Japan[J]. Hydrological Processes, 2004, 18: 3119-3132.
[29] Yang D, Li C, Hu H, et al. Analysis of water resources variability in the Yellow River of China during the last half century using historical data[J]. Water Resources Research, 2004, 40(6). doi:10.1029/2003WR002763.
[30] Wu Xuejiao, Yang Meixue, Wu Hongbo, et al. Verifying and applying the TRMM TMPA in Heihe River Basin[J]. Journal of Glaciology and Geocryology, 2013, 35(2): 310-319.[吴雪娇, 杨梅学, 吴洪波, 等. TRMM多卫星降水数据在黑河流域的验证与应用[J]. 冰川冻土, 2013, 35(2): 310-319.]
[31] Jiang Yuan'an, Liu Jing, Shao Weiling, et al. Climatic characteristics and historical evolution of precipitation in different time scales in Xinjiang from 1961 to 2013[J]. Journal of Glaciology and Geocryology, 2014, 36(6): 1363-1375.[江远安, 刘精, 邵伟玲, 等. 1961-2013年新疆不同时间尺度降水量的气候特征及其历史演变规律[J]. 冰川冻土, 2014, 36(6): 1363-1375.]
[32] Gao Bing, Yang Dawen, Liu Zhiyu, et al. Application of a distrbuted hydrological model for the Yarlung Zangbo River and analysis of the river runoff[J]. Journal of China Hydrology, 2008, 28(3): 40-44.[高冰, 杨大文, 刘志雨, 等. 雅鲁藏布江流域的分布式水文模型模拟及径流变化分析[J]. 水文, 2008, 28(3): 40-44.]
[33] Cheng Rensheng, Kang Ersi, Ding Yongjian. Some knowledge on and parameters of China's alpine hydrology[J]. Advances in Water Science, 2014, 25(3): 307-317.[陈仁生, 康尔泗, 丁永建. 中国寒区水文学中的一些认识和参数[J]. 水科学进展, 2014, 25(3): 307-317.]
[34] Yang D, Herath S, Musiake K. Development of a geomorphology-based hydrological model for large catchments[J]. Annual Journal of Hydraulic Engineering, 1998, 42: 169-174.
[35] Yang D. Distributed hydrological model using hillslope discretization based on catchment area function development and applications[D]. Tokyo: University of Tokyo, 1998.
[36] Yang D, Kanae S, Oki T, et al. Expanding the distributed hydrological modeling to Continental scale[J]. International Association of Hydrological Sciences, 2001, 270: 125-134.
[37] Yang D, Herath S, Musiake K. Hillslope-based hydrological model using catchment area and width function[J]. Hydrological Sciences Journal, 2002, 47: 49-65.
[38] Yang D, Musiake K. A continental scale hydrological model using the distributed approach and its application to Asia[J]. Hydrological Processes, 2003, 17: 2855-2869.
[39] Yang D, Yang Hanbo, Lei Huiming. Watershed hydrology[M]. Beijing: Tsinghua University Press, 2014.[杨大文, 杨汉波, 雷慧闽. 流域水文学[M]. 北京: 清华大学出版社, 2014.]
[40] Chen Qian, Chen Tianyu. Climatical analysis of seasonal snow resources in Qilian Mountains[J]. Geographical Research, 1991, 10(1): 24-38.[陈乾, 陈添宇. 祁连山区季节性积雪资源的气候分析[J]. 地理研究, 1991, 10(1): 24-38.]
[41] Essery R, Pomeroy J. Implications of spatial distributions of snow mass and melt rate for snow cover depletion: Theoretical considerations[J]. Annals of Glaciology, 2004, 38: 261-265.
[42] Donald J R, Soulis E D, Kouwen N, et al. A land cover based snow cover representation for distributed hydrologicmodels[J]. Water Resources Research, 1995, 31(4): 995-1009.
[43] Debeer C M, Pomeroy J W. Simulation of the snowmelt runoff contributing area in a small alpine basin[J]. Hydrology and Earth System Sciences, 2010, 14: 1205-1219.
[44] Aynur S, Gokcen U. The value of snow depletion forecasting methods towards operational snowmelt runoff estimation using MODIS and numerical weather prediction data[J]. Water Resources Management, 2012, 26(12): 3415-3440.
[45] Dai Y J, Zeng X B, Dickinson R E, et al. The common land model[J]. Bulletin of the American Meteorological Society, 2003, 84(8): 1013-1023.
[46] Wang Jian, Che Tao, Bai Yunjie, et al. WATER: dataset of snow depth measured by the graduated snow sticks in the Binggou watershed foci experimental area[DB]. Lanzhou: Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 2008. doi:10.3972/water973.0093.db.[王建, 车涛, 白云洁, 等. 黑河综合遥感联合试验: 冰沟流域加密观测区雪深花杆观测数据集[DB]. 兰州: 中国科学院寒区旱区环境与工程研究所, 2008. doi:10.3972/water973.0093.db.]
[47] Wang Jian, Li Wenjun. Establishing simulated model of snowmelt runoff for large scale basin in western China[J]. Journal of Glaciology and Geocryology, 1999, 21(3): 264-268.[王建, 李文君. 中国西部大尺度流域建立分带式融雪径流模拟模型[J]. 冰川冻土, 1999, 21(3): 264-268.]
[48] Hou Langong, Xiao Honglang, Zou Songbing, et al. Study on the features of water cycle in Heihe River Basin[J]. Research of Soil and Water Conservation, 2010, 6(3): 254-258.[侯兰功, 肖洪浪, 邹松兵, 等. 黑河流域水循环特征研究[J]. 水土保持研究, 2010, 6(3): 254-258.]
[49] Huang Xiquan, Li Huiming, Jin Boxin. Hydroaraphy[M]. Beijing: Higher Education Press, 1993.[黄锡荃, 李惠明, 金伯欣. 水文学[M]. 北京: 高等教育出版社, 1993.]
[50] He Siwei, Nan Zhuotong, Zhang Ling, et al. Spatial temporal distribution of water and energy fluxes in the upper reaches of the Heihe River simulation with VIC model[J]. Journal of Glaciology and Geocryology, 2015, 37(1): 211-225.[何思为, 南卓铜, 张凌, 等. 用VIC模型模拟黑河上游流域水分和能量通量的时空分布[J]. 冰川冻土, 2015, 37(1): 211-225.]

使用积雪遥感面积数据改善山区春季融雪径流模拟精度

Using snow remote sensing data to improve the simulation accuracy of spring snowmelt runoff: take Babao River basin as an example

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

Metrics

本文评价

推荐阅读 10