| Effect of Uncertainty of Grid DEM on TOPMODEL： Evaluation and Analysis |
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| 作者姓名： | WANG Peifa DU Jinkang FENG Xuezhi KANG Guoding |
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| 作者单位： | 1.Department of Geographic Information Science，Nanjing University，Nanjing 210093，China;2.Department of Demography and Economics，Nanjing College for Population Programme Management，Nanjing 210042，China |
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| 基金项目： | Under the auspices of the National Natural Science Foundation of China (No. 40171015) |
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| 摘 要： | 1 Introduction Digital Elevation Model (DEM) is a digital representa- tion of the earth’s surface and is typically represented in three formats: Grid DEM, TIN (Triangular Irregular Network) and contour-based storage structure. Being readily available and easily operating, Grid DEM has been widely applied to the analysis of hydrological problems (Moore et al., 1991) and other fields. Unfor- tunately, DEM has its inherent errors, the departure of a measurement from its true value, whic…
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| 关 键 词： | 网格DEM TOPMODEL 不确定性 蒙特卡罗模拟 水位图 原始数据 |
| 收稿时间： | 2006-05-15 |
| 修稿时间： | 2006-09-20 |
Effect of uncertainty of grid DEM on TOPMODEL: Evaluation and analysis |
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| WANG Peifa DU Jinkang FENG Xuezhi KANG Guoding.Effect of uncertainty of grid DEM on TOPMODEL: Evaluation and analysis[J].Chinese Geographical Science,2006,16(4):320-326. |
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| Authors: | Peifa Wang Jinkang Du Xuezhi Feng Guoding Kang |
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| Institution: | (1) Department of Geographic Information Science, Nanjing University, Nanjing, 210093, China;(2) Department of Demography and Economics, Nanjing College for Population Programme Management, Nanjing, 210042, China |
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| Abstract: | TOPMODEL, a semi-distributed hydrological model, has been widely used. In the process of simulation of the model, Digital
Elevation Model (DEM) is used to provide the input data, such as topographic index and distance to the drainage outlet; thus
DEM plays an important role in TOPMODEL. This study aims at examining the impacts of DEM uncertainty on the simulation results
of TOPMODEL. In this paper, the effects were evaluated mainly from quantitative and qualitative aspects. Firstly, DEM uncertainty
was simulated by using the Monte Carlo method, and for every DEM realization, the topographic index and distance to the drainage
outlet were extracted. Secondly, the obtained topographic index and the distance to the drainage outlet were input to the
TOPMODEL to simulate seven rainstorm-flood events, and four evaluation indices, such as Nash and Sutcliffe efficiency criterion
(EFF), sum of squared residuals over all time steps (SSE), sum of squared log residuals over all time steps (SLE) and sum
of absolute errors over all time steps (SAE) were recorded. Thirdly, these four evaluation indices were analyzed in statistical
manner (minimum, maximum, range, standard deviation and mean value), and effect of DEM uncertainty on TOPMODEL was quantitatively
analyzed. Finally, the simulated hydrographs from TOPMODEL using the original DEM and realizations of DEM were qualitatively
evaluated under each flood cases. Results show that the effect of DEM uncertainty on TOPMODEL is inconsiderable and could
be ignored in the model’s application. This can be explained by: 1) TOPMODEL is not sensitive to the distribution of topographic
index and distance to the drainage outlet; 2) the distribution of topographic index and distance to the drainage outlet are
slightly affected by DEM uncertainty.
Foundation item: Under the auspices of the National Natural Science Foundation of China (No. 40171015)
Biography: WANG Peifa (1980–), male, a native of Changqing of Shandong Province, Ph.D. candidate, specialized in GIS and RS
applications. |
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| Keywords: | DEM uncertainty TOPMODEL Monte Carlo simulation Jiaokou watershed |
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