西江流域卫星遥感与水文模型模拟的两种土壤湿度对比研究
Comparison of Soil Moisture Sensed Remotely and Simulated by Hydrological Model in the Xijiang Basin
DOI: 10.12677/JWRR.2018.74038, PDF,  被引量    国家自然科学基金支持
作者: 曾 凌, 熊立华, 杨 涵：武汉大学水资源与水电工程科学国家重点实验室，湖北 武汉
关键词: 水文模型；土壤湿度；卫星遥感；湿度指数；西江流域；Hydrologic Model； Soil Moisture； Satellite Remote Sensing； Soil Wetness Index； Xijiang Basin
摘要: 随着遥感技术的迅速发展，获取全球范围长时段卫星遥感土壤湿度产品成为可能，而目前卫星土壤湿度数据在水文建模领域的应用仍较少。本文采用DDRM (DEM-based distributed rainfall-runoff model)流域水文模型模拟了西江流域的土壤湿度的时空分布，同时采用ASCAT卫星遥感反演土壤湿度产品，推求了西江流域土壤湿度指数SWI (soil moisture index)的时空分布，在此基础上对比分析了这两种土壤湿度信息。结果表明：在流域面尺度和栅格点尺度上，水文模型模拟土壤湿度与卫星遥感土壤湿度指数的时间一致性均较好，在汛期二者的相关性要强于非汛期；水文模型模拟土壤湿度与卫星遥感土壤湿度指数在空间分布上较为一致。
Abstract: With the rapid development of remote sensing technology, a growing number of satellite-retrieved soil moisture products are available worldwide. However, there are few recent studies that focus on incor-porating these soil moisture products into hydrological modeling practice. In this study, the soil mois-ture simulated by the DEM-based distributed rainfall-runoff model (DDRM) was compared with the soil wetness index (SWI) derived from the ASCAT soil moisture product in the Xijiang basin in the southern China. The results indicate that the SWI series shows a close agreement with the simulated soil moisture series at both basin and cell scale. The correlation between the simulated soil moisture and the SWI series during the flood season (from April to September) is better when compared to that of the non-flood season. Besides, both soil moisture series show similar spatial distribution across the basin. These findings may serve as theoretical basis for further application of remotely sensed soil moisture product in hydrological modeling.
文章引用：曾凌, 熊立华, 杨涵. 西江流域卫星遥感与水文模型模拟的两种土壤湿度对比研究[J]. 水资源研究, 2018, 7(4): 339-350. https://doi.org/10.12677/JWRR.2018.74038

参考文献

[1] 黄图南, 郑有飞, 段长春, 尹继福, 吴荣军. 几种卫星反演土壤湿度在中国地区的对比分析[J]. 遥感信息, 2017(3): 25-33. HUANG Tunan, ZHENG Youfei, DUAN Changchun, YIN Jifu, WU Rongjun. Comparative analysis of soil moisture retrieval by satellites in China. Remote Sensing Information, 2017(3): 25-33. (in Chinese)
[2] 庄媛, 师春香, 沈润平, 姜立鹏, 王杉. 中国区域多种微波遥感土壤湿度产品质量评估[J]. 气象科学, 2015(3): 289-296. ZHUANG Yuan, SHI Chunxiang, SHEN Runping, JIANG Lipeng, WANG Shan. Quality evaluation of multi-microwave remote sensing soil moisture products over China. Journal of the Meteorological Science, 2015(3): 289-296. (in Chi-nese)
[3] RÖTZER, K., MONTZKA, C., BOGENA, H., WAGNER, W., KERR, Y. H., KIDD, R. and VEREECKEN, H. Catchment scale validation of SMOS and ASCAT soil moisture products using hydrological modeling and temporal stability analysis. Journal of Hydrology, 2014, 519: 934-946.[CrossRef] 
[4] 马思源, 朱克云, 李明星, 马柱国. 中国区域多源土壤湿度数据的比较研究[J]. 气候与环境研究, 2016, 21(2): 121-133. MA Siyuan, ZHU Keyuan, LI Mingxing, MA Zhuguo. A comparative study of multi-source soil moisture data for China’s regions. Climatic and Environmental Research, 2016, 21(2): 121-133. (in Chinese)
[5] 李明星, 马柱国, 杜继稳. 区域土壤湿度模拟检验和趋势分析——以陕西省为例[J]. 中国科学:地球科学, 2010(3): 363-379. LI Mingxing, MA Ghuguo, DU Jiwen. Regional soil moisture simulation for Shaanxi Province using SWAT model validation and trend analysis. Science China Earth Sciences, 2010(3): 363-379. (in Chinese)
[6] LAIOLO, P., GABELLANI, S., CAMPO, L., SILVESTRO, F., DELOGU, F., RUDARI, R., PULVIRENTI, L., BONI, G., FASCETTI, F. and PIERDICCA, N. Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model. International Journal of Applied Earth Observation and Geoinformation, 2016, 48: 131-145.[CrossRef] 
[7] XIONG, L., YANG, H. and ZENG, L. Evaluating Consistency between the remotely sensed soil moisture and the hydrological model-simulated soil moisture in the Qujiang catchment of China. Water, 2018, 10(3): 291. [Google Scholar] [CrossRef] 
[8] WAGNER, W., HAHN, S., KIDD, R., MELZER, T., BARTALIS, Z., HASENAUER, S., FIGA-SALDAÑA, J., DE ROSNAY, P., JANN, A., SCHNEIDER, S., KOMMA, J., KUBU, G., BRUGGER, K., AUBRECHT, C., ZÜGER, J., GANGKOFNER, U., KIENBERGER, S., BROCCA, L., WANG, Y., BLÖSCHL, G., EITZINGER, J. and STEINNOCHER, K. The ASCAT soil moisture product: A review of its specifications, validation results, and emerging applications. Meteorologische Zeitschrift, 2013, 22(1): 5-33. [Google Scholar] [CrossRef] 
[9] 张峰. 西江流域分布式水文模拟及其应用研究[D]. 东华大学, 2012. ZHANG Feng. Research on distributed hydrological simulation and its application in Xijiang River Basin. Donghua University, 2012. (in Chinese)
[10] 孙龙. 西江中下游洪水预报系统研究[D]. 河海大学, 2007. SUN Long. Study on the flood forecasting system in the middle and lower reaches of Xijiang Watershed. Hohai University, 2007. (in Chinese)
[11] ALLEN, R. G., PEREIRA, L. S., RAES, D. and SMITH, D. Crop evapotranspiration-guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 1998, 300(9): D05109.
[12] 熊立华, 郭生练. 分布式流域水文模型[M]. 北京: 中国水利水电出版社, 2004. XIONG Lihua, GUO Shenglian. Distributed hydrological model. Beijing: China Water and Power Press, 2004. (in Chi-nese)
[13] 熊立华, 郭生练, 田向荣. 基于DEM的分布式流域水文模型及应用[J]. 水科学进展, 2004, 15(4): 517-520. XIONG Lihua, GUO Shenglian, TIAN Xiangrong. DEM-based distributed hydrological model and its application. Advances in Water Science, 2004, 15(4): 517-520. (in Chinese)
[14] 龙海峰, 熊立华, 万民. 基于DEM的分布式水文模型在清江流域的应用[J]. 长江流域资源与环境, 2012, 21(1): 71-78. LONG Haifeng, XIONG Lihua, WAN Min. Application of DEM-based distributed hydrological model in Qingjiang River Basin. Resources and Environment in the Yangtze Basin, 2012, 21(1): 71-78. (in Chinese)
[15] 万民, 熊立华, 董磊华. 飞来峡流域基于栅格DEM的分布式水文模拟[J]. 武汉大学学报(工学版), 2010, 43(5): 549-553. WAN Min, XIONG Lihua, DONG Leihua. Grid DEM-based distributed hydrological modeling for Feilaixia watershed. Engineering Journal of Wuhan University, 2010, 43(5): 549-553. (in Chinese)
[16] BEVEN, K. J. Distributed hydrological modeling: Application of the TOPMODEL concept. New York: John Wiley & Sons Limited, 1997.
[17] DUAN, Q., SOROOSHIAN, S. and GUPTA, V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resources Research, 1992, 28(4): 1015-1031. [Google Scholar] [CrossRef] 
[18] LIU, Y. Y., PARINUSSA, R. M., DORIGO, W. A., De JEU, R. A. M., WAGNER, W., Van Dijk, A. I. J. M., Mccabe, M. F. and EVANS, J. P. Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals. Hydrology and Earth System Sciences, 2011, 15(2): 425. [Google Scholar] [CrossRef] 
[19] WAGNER, W., LEMOINE, G., ROTT, H. A method for estimating soil moisture from ERS Scatterometer and soil data. Remote Sensing of Environment. 1999, 70: 191-207.
[20] 蒋冲, 王飞, 穆兴民, 李锐. 土壤湿度指数在黄土高原的适宜性评价[J]. 灌溉排水学报, 2012(3): 31-36. JIANG Chong, WANG Fei, MU Xingmin, LI Rui. Evaluation of the soil water index and surface soil moisture on the Loess Plateau. Journal of Irrigation and Drainage, 2012(3): 31-36. (in Chinese).