基于DEM的地形湿度指数 及其应用研究进展

doi:10.11820/dlkxjz.2005.06.014

地理科学进展 ›› 2005, Vol. 24 ›› Issue (6): 116-123.doi: 10.11820/dlkxjz.2005.06.014

• 水循环与水文模拟 • 上一篇

基于DEM的地形湿度指数及其应用研究进展

张彩霞^1,2, 杨勤科², 李锐^1,2

1. 中国科学院水利部水土保持研究所, 杨凌 712100|
2. 西北农林科技大学资源环境学院, 杨凌 712100

收稿日期:2005-04-01 修回日期:2005-07-01 出版日期:2005-11-25 发布日期:2005-11-25
通讯作者: 杨勤科E-mail:qkyang@ms.iswc.ac.cn
作者简介:张彩霞(1974-),女,硕士研究生。主要从事水土保持和土地资源信息与技术方面的研究工作。 E-mail: zhangcx999@yahoo.com.cn,
基金资助:
中国科学院知识创新重要方向项目“黄土高原水土保持的区域环境效应研究”(KZXCX3-SW-421)。

Advancement in Topographic Wetness Index and Its Application

ZhANG Caixia^1,2, YANG Qinke², LI Rui^1,2

1. College of Resource and Environment, Northwestern Sci-tech University of Agriculture and Forestry, Yangling 712100, China|
2. Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Yangling 712100, China

Received:2005-04-01 Revised:2005-07-01 Online:2005-11-25 Published:2005-11-25

摘要/Abstract

摘要：

地形湿度指数以数字高程模型（DEM）为基础，综合考虑了地形和土壤特性对土壤水分分布的影响，在流域土壤水分空间分布的研究中具有重要的理论与应用价值。根据对汇流面积时空变化的分析，地形湿度指数可分为静态、半动态和动态地形湿度指数等类型。在利用该指数评价土壤水分空间分布状况时，需要考虑计算方法与DEM网格单元大小的影响及其普遍适应性等问题。同时，针对黄土高原干旱半干旱区实际的水分循环过程和产流机制与现有地形湿度指数假设条件的差异，提出了地形湿度指数在黄土高原地区的研究设想与应用途径，以期为该区的水土保持和植被恢复研究提供理论和实践支持。

关键词: DEM, 尺度转换, 地形湿度指数, 黄土高原, 土壤水分空间分布

Abstract:

Topographic wetness index, which takes into account the integrated effects of topography and soil hydraulic characters on soil moisture, plays important theoretical and applied potentials in the studies of spatial distribution of soil moisture. Considering the spatial-temporal variation in upslope contributing area, topographic wetness indexes were divided into three types, e.g. static, quasi-dynamic and full dynamic. The effects of computing methods of topographic wetness index and resolution of DEMs as well as the universality of the index should be analyzed discreetly in application of topographic wetness index. At the same time, for the apparent differences between the current assumptions of topographic wetness index and actual water cycling process and runoff mechanism in arid/semi-arid region, the research approaches and the conceive of the application of topographic wetness index are proposed for the Losses Plateau to provide theoretical and practical foundation for the vegetation restoration and the conservation of soil and water in the region.

Key words: DEM, spatial distribution of soil moisture, the Losses, topographic wetness index

张彩霞, 杨勤科, 李锐. 基于DEM的地形湿度指数及其应用研究进展[J]. 地理科学进展, 2005, 24(6): 116-123.

ZhANG Caixia, YANG Qinke, LI Rui. Advancement in Topographic Wetness Index and Its Application[J]. PROGRESS IN GEOGRAPHY, 2005, 24(6): 116-123.

参考文献

[1] Beven, K. J., Kirkby, M. J., A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin, 1979, 24: 43~68.

[2] Beven, K. J., Kirkby, M. J., Schoffield, N., et a1., Testing a Physically-based flood forecasting model (TOPMODEL) for three UK catchments. Journal of Hydrology, 1984, 69: 119~143.

[3] Barling, R. D., Moore, I. D., Grayson, R. B., A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content. Water Resource Research, 1994, 30: 1029~1044.

[4] Western, A. W., Grayson, R. B., Bl?schl, G., Willgoose, G. R., McMahon, T. A., Observed spatial organization of soil moisture and its relation to terrain indices. Water Resources Research, 1999, 35 (3): 797~810.

[5] Wilson J P, Gallant J C. Digital terrain analysis. In: Wilson and Gallant, ed. Terrain analysis: Principal and application. John Wiley & Sons, Inc. 2000, 1~26.

[6] Moore, I. D., Gessler, P. E., Nielsen, G. A., et al., Soil attribute prediction using terrain analysis. Soil Science Society of America Journal, 1993, 57: 443~452.

[7] Dymond, C. C., Johnson, E. A., Mapping vegetation spatial patterns from modeled water，temperature and solar radiation gradients. Photogrammetry ＆ Remote Sensing, 2002, 57: 69~85.

[8] Burt, T. P., Butcher, D. P., Topographic controls of soil moisture distributions. Soil Science, 1985, 36: 469~486.

[9] Moore, I. D., Burch, G. J., Mackenzie, D.H., Topographic effects on the distribution of surface soil water and the location of ephemeral gullies. Trans. Am. Soc. Agric. Eng, 1988, 31(4): 1098~1107.

[10] Güntner, A., Seibert, J., Uhlenbrook, S., Modeling spatial patterns of saturated areas: An evaluation of different terrain indices. Water Resource Research, 2004, 40: W05114.

[11] 邓慧平，李秀彬. 地形指数的物理意义分析. 地理科学进展，2002，21（2）：103~110.

[12] 韩杰，张万昌，赵登忠. 基于TOPMODEL径流模拟的黑河水资源探讨. 农村生态环境，2004，20（2）：16~20.

[13] Woods, R. A., Sivapalan, M., Robinson, J. S., Modeling the spatial variability of subsurface runoff using a topographic index. Water Resource Research, 1997, 33 (5): 1061~1073.

[14] O’Loughlin, E. M., Prediction of surface sateration zones in natural catchments by topographic analysis. Water Resource Research, 1986, 22 (5): 794~804.

[15] Moore, I. D., Grayson, R. B., Ladson, A. R., Digital terrain modelling: A review of hydrological, geomorphological and biological applications. Hydrological Processes, 1991, 5: 3~30.

[16] Kim, S., Jung, S., Digital terrain analysis of the dynamic wetness pattern on the sulmachun watershed . Diffuse Pollution Conference. Dublin, Germany. 2003, 10A GIS.

[17] Moore, I. D., Machay, S. M., Wallbrink, P. J., Burch, G. J., O’loughlin, E. M., Hydrologic characteristics and modeling of a small forested catchment in Southeastern New South Wales: Prelogging condition. Journal of Hydrology, 1986, 83: 307~335.

[18] Moore, I. D., Thompson, J. C., Are water table variation in a shallow forest soil consistent with the Topmodel concept? Water Resource Research, 1996, 32(3): 663~669.

[19] Ladson A R, Moore I D. Soil water prediction on the Konza Prairic by microwave remote sensing and topographic attributes. Journal of Hydrology, 1992, 138, 385~407.

[20] 郭方，刘新仁，任立良. 以地形为基础的流域水文模型—Topmodel及其拓宽应用. 水科学进展，2000，11（3）： 296~301.

[21] 陈仁升，康尔泗，杨建平,等. Topmodel模型在黑河干流出山径流模拟中的应用. 中国沙漠，2003，23（4）：428~434.

[22] 孔凡哲，芮孝芳. TOPMODEL中地形指数计算方法的探讨. 水科学进展，2003（14）1：41~45.

[23] 余新晓，赵玉涛. 基于地形指数的Topmodel研究进展与热点跟踪. 北京林业大学学报，2002，24（4）：117~121.

[24] Quinn, P. F., Beven, K. J., Lamb, R., The ln (a／tanβ) index: How to calculate it and how to use it in the Topmodel framework. Hydrology processes, 1995, 9: 161~182.

[25] Tarboton, D. G., A new method for the determination of flow directions and unslope area in grid digital elevation models. Water Resource Research, 1997, 33 (2): 309~319.

[26] Pan, F. F., A comparison of geographical information systerms-based algorithms for computong the Topmodel topographic index. Water Resource Research, 2004, 40: W06303.

[27] O’Callaghan, J. F., Mark, D. M., The extraction of drainage networks form digital elevation data. Comput. Vision Graphics Image, 1984, 28: 323~344.

[28] Quinn, P. F., Beven, K. J., Chevallier, P., Planchon, O., The prediction of hillslope flow paths for distributed hydrological modeling using digital terrain models. Hydrology processes, 1991, 5: 59~80.

[29] Wolock, D. M., McCabe, G. J., Comparison of single and multiple flow direction algorithms for computing topographic parameters. Water Resources Research, 1995, 31(5): 1315~1324.

[30] Martz, W., Garbrecht, J., Numerical definition of drainage network and subcatchment areas from digital elevation models. Computers & Geo sciences, 1992, 18 (6): 747~761.

[31] Anderson, M. G., Burt, T. P., The role of topography in controlling throughflow generation. Earth Surface Processes and Landforms, 1978, 3: 331~344.

[32] Hjerdt, K. N., McDonnell, J. J., Seibert, J., Rodhe, A., A new topographic index to quantify downslope controls local drainage. Water Resource Research, 2004, 40: W05602.

[33] Zhang, W. H., Montgomery, D. R., Digital elevation model grid size, landscape representation, and hydrologic simulation. Water Resource Research, 1994, 30 (4): 1019~ 1028.

[34] 李玉山. 黄土高原森林植被对陆地水循环影响的研究. 自然资源学报，2001，16（5）：427~432.

[35] 蒋定生，黄国俊. 黄土高原土壤入渗速率的研究. 土壤学报，1986，23（4）：299~305.

[36] 唐克丽，等. 黄河流域的侵蚀与径流泥沙变化. 北京：中国科学技术出版社，1993.

[37] Yang Q K, Van Niel T G, McVicar T R, Hutchinson M F, Li L T. Developing a digital elevation model using ANUDEM for the Coarse Sandy Hilly Catchments of the Loess Plateau, China . CSIRO Land and Water Technical Report 7/05, Canberra, Australia: 2005, 1~74.

[38] 包为民，王从良. 垂向混合产流模型及应用. 水文，1997，3：18~21.

基于DEM的地形湿度指数及其应用研究进展

Advancement in Topographic Wetness Index and Its Application

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	孙艺杰, 刘宪锋, 任志远, 段艺芳. 1960—2016年黄土高原干旱和热浪时空变化特征[J]. 地理科学进展, 2020, 39(4): 591-601.
[2]	吕敏娟, 曹小曙. 1980—2016年黄土高原地区人口和可达性异速标度分析[J]. 地理科学进展, 2020, 39(11): 1884-1897.
[3]	孙锐,陈少辉,苏红波. 2000—2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J]. 地理科学进展, 2019, 38(8): 1248-1258.
[4]	杨晴青, 杨新军, 高岩辉. 1980年以来黄土高原半干旱区乡村人居环境系统脆弱性时序演变——以陕西省佳县为例[J]. 地理科学进展, 2019, 38(5): 756-771.
[5]	石育中, 王俊, 王子侨, 鲁大铭, 杨新军. 农户尺度的黄土高原乡村干旱脆弱性及适应机理[J]. 地理科学进展, 2017, 36(10): 1281-1293.
[6]	刘翠玲, 龙瀛. 京津冀地区城镇空间扩张模拟与分析[J]. 地理科学进展, 2015, 34(2): 217-.
[7]	张欣欣. 数字高程模型在活动断层位置及地表变形变位特征提取研究中的应用[J]. 地理科学进展, 2015, 34(10): 1288-1296.
[8]	李月臣, 何志明, 刘春霞. 基于站点观测数据的气温空间化方法评述[J]. 地理科学进展, 2014, 33(8): 1019-1028.
[9]	呼雪梅, 秦承志. 地形信息对确定DEM适宜分辨率的影响[J]. 地理科学进展, 2014, 33(1): 50-56.
[10]	仝迟鸣, 周成虎, 程维明, 张文杰, 王娇, 刘海江. 基于DEM的黄土塬形态特征分析及发育阶段划分[J]. 地理科学进展, 2014, 33(1): 42-49.
[11]	盛美玲, 方海燕. WaTEM/SEDEM模型及其应用研究进展与展望[J]. 地理科学进展, 2014, 33(1): 85-91.
[12]	汤青, 徐勇, 李扬. 黄土高原农户可持续生计评估及未来生计策略——基于陕西延安市和宁夏固原市1076 户农户调查[J]. 地理科学进展, 2013, 32(2): 161-169.
[13]	田瑞云, 王玉宽, 傅斌, 刘援. 基于DEM的地形单元多样性指数及其算法[J]. 地理科学进展, 2013, 32(1): 121-129.
[14]	刘宪锋, 任志远, 张翀, 林志慧. 1959-2008 年黄土高原地区年内降水集中度和集中期时空变化特征[J]. 地理科学进展, 2012, 31(9): 1157-1163.
[15]	刘艳华, 徐勇, 刘毅. 2000 年来黄土高原地区的人口增长及时空分异[J]. 地理科学进展, 2012, 31(2): 156-166.

基于DEM的地形湿度指数 及其应用研究进展

Advancement in Topographic Wetness Index and Its Application

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

基于DEM的地形湿度指数及其应用研究进展