An evaluation of impacts of DEM resolution and parameter correlation on TOPMODEL modeling uncertainty

Lin, Kairong; Zhang, Qiang; Chen, Xiaohong

doi:10.1016/j.jhydrol.2010.09.012

Cited by 65 publications

(48 citation statements)

References 39 publications

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“…Chen (2013) thought that the increase of minus error was much higher than those of the positive error when the grid size of DEM increased, which caused that the average slope steepness decreased with the increasing grid size of DEM. Our results are similar to those from the initial DEM grid size greater than 3 m (Wang and Wang 2009;Lin et al 2010Lin et al , 2013. Moreover, the slope gradient was more significantly affected by DEM grid size when initial DEM grid size was finer (2-30 m).…”

Section: Resultssupporting

confidence: 87%

Effects of DEM grid size on predicting soil loss from small watersheds in China

Cao

Liu

et al. 2014

Environ Earth Sci

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The topography (slope gradient and slope length) has an important effect on soil erosion by water. Slope gradient and slope length factor are the parameters of the universal soil loss equation that is commonly used to predict soil erosion. These factors are usually extracted from the digital elevation model (DEM). Thus the DEM grid size will influence topographic factors and therefore soil loss calculation. The purpose of this study was to investigate the effect of DEM grid size on the topographic factors and therefore soil loss prediction on a typical watershed in northeast of China. The site for the case study was Dontaigou watershed which is located at Huairou district, Beijing, China. Contour lines of 2 m interval digitized from 1:2,000 scale of topographic maps were used to generate DEM with grid size of 2 m. The DEMs with grid sizes of 3-30 m, at 1 m intervals, were created using the nearest neighbor resampling method. In total, 29 DEMs with different grid sizes were obtained. Four different scenarios of the channel initiation threshold were used to extract the drainage channel and let the slope length cutoff. Chinese soil loss equation was used to predict the soil loss. The results show that DEM grid size had different effects on the topographic factor. The average calculated slope steepness factor decreased with the increase of the DEM grid size in a linear decay function. The average slope length factor increased with DEM grid size when the drainage channel was not considered. It slightly decreased with DEM grid size and then increased when the drainage channel suitable for DEM grid size was used. However, comparing different grid sizes, the LS factor and the soil loss prediction of DEM grid size less than or equal to 10 m were close to those of 2 m DEM. The channel initiation threshold had effects on the extraction of slope length and then slope length factor. We found that the effect of DEM grid size on predicting soil loss depends on selection of suitable channel initiation threshold.

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Section: Resultssupporting

confidence: 87%

Effects of DEM grid size on predicting soil loss from small watersheds in China

Cao

Liu

et al. 2014

Environ Earth Sci

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“…During the last decade, the first CTI product at 1 km resolution from HYDRO1k global data set released by US Geological Survey (USGS) in 2000 has become the most commonly applied global data set for large-scale applications (Kleinen et al, 2012;Lei et al, 2014;Ringeval et al, 2012;. However, HYDRO1k has been proven to potentially overestimate inundation extent due to a lack in quality of the underlying digital elevation model (DEM) (Grabs et al, 2009;Lin et al, 2010Lin et al, , 2013Sørensen and Seibert, 2007). With recent advances in the development of DEMs (Danielson and Gesch, 2011;Lehner et al, 2008), there is both a requirement and an opportunity to investigate uncertainties caused by CTI parameter.…”

Section: Introductionmentioning

confidence: 99%

Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties

et al. 2016

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Abstract.Simulations of the spatiotemporal dynamics of wetlands are key to understanding the role of wetland biogeochemistry under past and future climate. Hydrologic inundation models, such as the TOPography-based hydrological model (TOPMODEL), are based on a fundamental parameter known as the compound topographic index (CTI) and offer a computationally cost-efficient approach to simulate wetland dynamics at global scales. However, there remains a large discrepancy in the implementations of TOPMODEL in landsurface models (LSMs) and thus their performance against observations. This study describes new improvements to TOPMODEL implementation and estimates of global wetland dynamics using the LPJ-wsl (Lund-Potsdam-Jena Wald Schnee und Landschaft version) Dynamic Global Vegetation Model (DGVM) and quantifies uncertainties by comparing three digital elevation model (DEM) products (HYDRO1k, GMTED, and HydroSHEDS) at different spatial resolution and accuracy on simulated inundation dynamics. In addition, we found that calibrating TOPMODEL with a benchmark wetland data set can help to successfully delineate the seasonal and interannual variation of wetlands, as well as improve the spatial distribution of wetlands to be consistent with inventories. The HydroSHEDS DEM, using a riverbasin scheme for aggregating the CTI, shows the best accuracy for capturing the spatiotemporal dynamics of wetlands among the three DEM products. The estimate of global wetland potential/maximum is ∼ 10.3 Mkm 2 (10 6 km 2 ), with a mean annual maximum of ∼ 5.17 Mkm 2 for 1980-2010. When integrated with wetland methane emission submodule, the uncertainty of global annual CH 4 emissions from topography inputs is estimated to be 29.0 Tg yr −1 . This study demonstrates the feasibility of TOPMODEL to capture spatial heterogeneity of inundation at a large scale and highlights the significance of correcting maximum wetland extent to improve modeling of interannual variations in wetland area. It additionally highlights the importance of an adequate investigation of topographic indices for simulating global wetlands and shows the opportunity to converge wetland estimates across LSMs by identifying the uncertainty associated with existing wetland products.

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“…Alguns estudiosos avaliaram o comportamento do IT para diferentes resoluções do MNT (Quinn et al, 1995;Varella & Campana, 2000;Lin et al, 2010;Pan & King, 2012), mostrando que este apresenta comportamento diferenciado de acordo com a resolução espacial. Na medida em que o tamanho da célula aumenta, os valores do IT tendem a ser mais altos, podendo não representar pequenos canais.…”

Section: Bunclassified

“…Os principais atrativos na aplicação do TOPMODEL estão relacionados à necessidade de conhecimento de um pequeno número de parâmetros de entrada associado a um razoável embasamento teórico. Desde sua elaboração o modelo TOPMODEL foi aplicado em bacias hidrográficas sob diferentes usos e condições edafoclimáticas e de uso do solo (Mine & Clarke, 1996;Wu et al, 2007;Huiping & Shufen, 2010;Lin et al, 2010;Gumindoga et al, 2011;Nourani et al, 2011;Pan & King, 2012;Qi et al, 2013).…”

Section: Introductionunclassified

Avaliação do TOPMODEL na estimativa do escoamento superficial em microbacia hidrográfica em diferentes usos

Cecílio

Campanharo

Zanetti

et al. 2015

Rev. bras. eng. agríc. ambient.

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R E S U M OAvaliou-se a aplicabilidade do modelo hidrológico TOPMODEL em simular os hidrogramas de escoamento superficial gerado por eventos isolados de precipitação em uma microbacia hidrográfica sob manejo conservacionista. Utilizaram-se de características físicas, hidrológicas e edáficas da microbacia associadas a hidrogramas de escoamento superficial relativos a eventos de vazão e precipitação medidos entre 2009 e 2012. Observou-se que o TOPMODEL mostrou tendência em subestimar a vazão máxima e a lâmina total de escoamento superficial e se constatou, todavia, que o TOPMODEL é promissor na modelagem dos hidrogramas de escoamento superficial de eventos de chuva isolados na microbacia sob manejo conservacionista em estudos, embora tenda a subestimar os valores de vazão. Evaluation of TOPMODEL for prediction of the runoff of a watershed under different land uses A B S T R A C TThe applicability of TOPMODEL hydrologic model to predict the runoff hydrographs originated from isolated rainfall events over a small watershed under conservationist management practices was evaluated. Geographical, hydrological and soil data from the watershed were used associated to streamflow hydrographs and rainfall events measured between 2009 and 2012. TOPMODEL mainly underestimated runoff peak flow and runoff amount. However, it was observed that TOPMODEL is promising for the estimation of runoff hydrograph originated from isolated rainfall events at the studied small watershed under conservationist management practices. Palavras-chave:deflúvio modelagem hidrológica manejo de bacias hidrográficas

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An evaluation of impacts of DEM resolution and parameter correlation on TOPMODEL modeling uncertainty

Cited by 65 publications

References 39 publications

Effects of DEM grid size on predicting soil loss from small watersheds in China

Effects of DEM grid size on predicting soil loss from small watersheds in China

Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties

Avaliação do TOPMODEL na estimativa do escoamento superficial em microbacia hidrográfica em diferentes usos

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