Spatially distributed long‐term hydrologic simulation using a continuous SCS CN method‐based hybrid hydrologic model

Cho, Younghyun; Engel, Bernard A.

doi:10.1002/hyp.11463

Cited by 18 publications

(7 citation statements)

References 36 publications

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“…The social-ecological model provides a process-based understanding of the complex linkages between people and the environment [27][28][29] and has been used by hydrologists for understanding the interaction of human society and hydrological systems. When coupled with land use data, models, such as SCS-CN, Soil and Water Assessment Tool (SWAT), SWMM, The Hydrologic Engineering Center's-Hydrologic Modeling System (HEC-HMS), and MIKE System Hydrological European (Mike SHE), have been extensively used to assess the effects of land use changes (predominantly urbanization) on hydrologic processes [30][31][32][33][34]. For example, Du et al [35] coupled a distributed hydrologic and a dynamic land use change model to examine the effects of urbanization on annual runoff and flood events of the Qinhuai River watershed in China.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing

Yun-yun

Zhang

2020

Land

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The change in land use during the process of urbanization affects surface runoff and increases flood risk in big cities. This study investigated the impact of land use change on surface runoff in Beijing’s central area during the period of rapid urbanization from 1984 to 2019. Land use maps of 1984, 1999, 2009, and 2019 were generated by image classification of Landsat images. Surface runoffs were calculated with the Soil Conservation Service curve number (SCS-CN) model. Correlation analysis was used to identify the dominant factor of land use change affecting surface runoff. The result showed that the variation trend of surface runoff was consistent with the trend of impervious land in Beijing’s central area, which increased during 1984~2009 and decreased during 2009~2019. Correlation analysis showed that changes in surface runoff were most strongly correlated with changes in impervious surfaces when compared with the correlation of runoff with other types of land use. The results of this study may provide a reference for city flood control and urban planning in fast growing cities worldwide, especially in developing countries.

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Section: Introductionmentioning

confidence: 99%

Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing

Yun-yun

Zhang

2020

Land

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“…The soil conservation service-curve number (SCS-CN) model is one of the most widely used surface rainfall-runoff models because of its simple structure and the few parameters required [22]. To overcome the limitations of the SCS-CN model in terms of simulation ability, researchers have proposed a physically-based catchment distribution model and introduced field measurements to correct the two important parameters of the model, i.e., CN values and standard values, λ [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

et al. 2019

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With rapid urbanization, floods that occur are more frequently associated with non-riverine, urban flooding. Reliable and efficient simulation of rainstorm inundation in an urban environment is profound for risk analysis and sustainable development. Although sophisticated hydrodynamic models are now available to simulate the urban flooding processes with a high accuracy, the complexity and heavy computation requirement render these models difficult to apply. Moreover, a large number of input data describing the complex urban underlying surfaces is required to setup the models, which are typically unavailable in reality. In this paper, a simple and efficient urban rainstorm inundation simulation method, named URIS, was developed based on a geographic information system (GIS) with limited input data. The URIS method is a simplified distributed hydrological model, integrating three components of the soil conservation service (SCS) module, surface flow module, and drainage flow module. Cumulative rainfall-runoff, output from the SCS model, feeds the surface flow model, while the drainage flow module is an important waterlogging mitigation measure. The central urban area of Shanghai in China was selected as a study case to calibrate and verify the method. It was demonstrated that the URIS is capable of characterizing the spatiotemporal dynamic processes of urban inundation and drainage under a range of scenarios, such as different rainstorm patterns with varying return periods and different alterations of drainage diameters. URIS is therefore characterized with high efficiency, reasonable data input, and low hardware requirements and should be an alternative to hydrodynamic models. It is useful for urgent urban flood inundation estimation and is applicable for other cities in supporting emergency rescue and sustainable urban planning.

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“…Lumped and distributed hydrological models and combinations of these two (hybrid models) are important in predicting stream flow [6,7]. Lumped models use mean effective map values of slope, soils and land use to simulate discharge [8][9][10], that assess the catchment response simply at the outlet without considering the spatial distribution of the input parameters [10].…”

Section: Introductionmentioning

confidence: 99%

Assessing Digital Soil Inventories for Predicting Streamflow in the Headwaters of the Blue Nile

Adem

Dile

Worqlul³

et al. 2020

Hydrology

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Comprehensive spatially referenced soil data are a crucial input in predicting biophysical and hydrological landscape processes. In most developing countries, these detailed soil data are not yet available. The objective of this study was, therefore, to evaluate the detail needed in soil resource inventories to predict the hydrologic response of watersheds. Using three distinctively different digital soil inventories, the widely used and tested soil and water assessment tool (SWAT) was selected to predict the discharge in two watersheds in the headwaters of the Blue Nile: the 1316 km2 Rib watershed and the nested 3.59 km2 Gomit watershed. The soil digital soil inventories employed were in increasing specificity: the global Food and Agricultural Organization (FAO), the Africa Soil Information Service (AfSIS) and the Amhara Design and Supervision Works Enterprise (ADSWE). Hydrologic simulations before model calibration were poor for all three soil inventories used as input. After model calibration, the streamflow predictions improved with monthly Nash–Sutcliffe efficiencies greater than 0.68. Predictions were statistically similar for the three soil databases justifying the use of the global FAO soil map in data-scarce regions for watershed discharge predictions.

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Spatially distributed long‐term hydrologic simulation using a continuous SCS CN method‐based hybrid hydrologic model

Cited by 18 publications

References 36 publications

Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing

Assessing the Effect of Land Use Change on Surface Runoff in a Rapidly Urbanized City: A Case Study of the Central Area of Beijing

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

Assessing Digital Soil Inventories for Predicting Streamflow in the Headwaters of the Blue Nile

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