Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany

Niehoff, Daniel; Fritsch, Uta; Bronstert, Axel

doi:10.1016/s0022-1694(02)00142-7

Cited by 367 publications

(215 citation statements)

References 9 publications

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“…They found that urban waterlogging risk was positively correlated with landscape fragmentation (e.g., PD and ED) of the whole landscape, while negatively correlated with landscape contagion (e.g., CONTAG), which was consistent with our findings of buildings and pavement (Table 1). Our results demonstrated that the composition of the impervious surface contributed more to the variations of urban waterlogging risk than its configuration did across multiple spatial scales, which extends previous studies [45,[65][66][67]. One important reason was due to the substitution of green spaces and water bodies by the impervious surface, which changed the natural hydrological process and increased the storm water runoff and peak flows.…”

Section: Results Of Partial Redundancy Analysis At Multiple Scalessupporting

confidence: 79%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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An impervious surface is considered one of main factors affecting urban waterlogging. Previous studies found that spatial pattern (composition and configuration) of impervious surfaces affected urban waterlogging. However, their relative importance remains unknown, and the scale-effect of the spatial pattern on urban waterlogging has been ignored. To move forward, our research studied the relationship between spatial patterns on the impervious surface and its subcategories (building and pavement) on urban waterlogging risk spots using Pearson correlation, partial redundancy analysis and performed at three grid scales (1 km × 1 km, 3 km × 3 km, 5 km × 5 km) and the catchment scale based on different spatial resolution land cover maps (2 m, 10 m and 30 m). We identified positively-correlated metrics with urban waterlogging risk spots, such as the composition of impervious surface (i.e., total impervious surface, building, pavement) and the aggregation metric of the total impervious surface at most scales, as well as two negatively correlated metrics (i.e., proximity metric of building, fragmentation metric of total impervious surface). Furthermore, the total variance of urban waterlogging risk spots explained by the spatial pattern of the total impervious surface and its subcategories increased with studied grid and catchment scales while decreasing from a fine to a coarse resolution. The relative contribution of the impervious surface composition and configuration to the variation of urban waterlogging risk spots varied across scales and among impervious surface types. The composition contributed more than the configuration did for the total impervious surface at both grid and catchment scales. Similar to total impervious surface, the composition of buildings was more important than its configuration was at all the grid scales, while the configuration of buildings was more important at the catchment scale. Contrary to the total impervious surface, the configuration of pavement at both the grid and catchment scales mattered more than their compositions did. Furthermore, the composition of the building was more important than that of pavement, but its configuration mattered less. Our study could provide a multi-scale landscape perspective with detailed suggestions for controlling the area of impervious surface and optimizing its spatial configuration in urban waterlogging risk mitigation and urban planning.

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Section: Results Of Partial Redundancy Analysis At Multiple Scalessupporting

confidence: 79%

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Zhang

Cheng

et al. 2018

Sustainability

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“…Niehoff et al (2002) [34] This paper used the SWAT model to simulate flood processes with different frequency under different land use scenarios in Yongding River Basin, and analyzed the quantitative effect of non-point flood alleviation of each land use scenario. Yongding River basin locates in the upstream region of Beijing, which is an important geographical location with high demand for flood control and is one of China's four major river flood control areas [35].…”

Section: Multi-linear Regressionmentioning

confidence: 99%

Impact of Land Use on Frequency of Floods in Yongding River Basin, China

Zhang

Zhao

Wang

et al. 2016

Water

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Abstract:As the debates surrounding the negative influences of flood control using dams or reservoirs on the eco-environment become fierce, non-structural flood control measures like land use change gain more attention. This study researched the effect of integrated and single land use changes on three floods at small, medium and large scales, respectively, in Yongding River basin. A SWAT (Soil and Water Assessment Tool) model was used to simulate the effect of integrated and single land use changes on floods of different scales. The single land uses were set as S1, S2, S3 to represent the agricultural, grass and construction land changes. The results showed that: (1) the integrated land use changes reduced the small flood, the medium flood and the large flood by 14%, 13% and 5%; (2) the land use management functioned most effectively on medium-scale floods and least effectively on large-scale floods; (3) S1 decreased the medium floods optimally by 24% with a 7-day maximum runoff volume as the indicator and by 29% with a 1-day maximum flood discharge; (4) S2 reduced the medium floods optimally by 21% with runoff depth volume as the indicator; (5) S3 increased the medium floods optimally by 15% with a 1-day maximum flood discharge as the indicator.

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“…The importance of land use pattern at a watershed scale was also illustrated in flood responses. The influence of land use change on storm-runoff was related to vegetation coverage, although it largely depended on the characteristics of rainfall events and their spatial scales (Niehoff et al, 2002). It is considered that a decrease in forest cover that followed an increase in grassland amplified the peak flow rate, and thus increased the risk of flooding (Fohrer et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Land Use Pattern Reduces Surface Runoff and Sediment Loss in a Hilly-Gully Watershed at the Loess Plateau, China

et al. 2016

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Aim of study: The aim is to find a way increasing gain yield and lessen area of farmland, and then increasing vegetation cover, improving environment and alleviating soil erosion.Area of study: The Hilly-Gully region at the loess plateau of China. Material and methods:In this study, an adjusted and optimized land use pattern was developed in Luoyugou watershed in the Yellow River valley based on the gradient distribution of land use types, and its effect on water and sediment transport was simulated using the SWAT model and GIS, with remote sensing images, land use maps and hydrologic data.Main results: The results indicate: average simulated runoff and sediment for the period 1986-2000 under conditions of the three land use pattern (2011, 2008 and optimized land use) reduced by 0.002-0.013 m 3 /s (2.7-17.6%) and 0.66 million tons, respectively. The runoff and sediment data obtained were compared with observed data from 2008, which showed that runoff and sediment production would be reduced by 467625 m 3 and 22754 tons, respectively.Research highlights: The adjustment of the land use pattern in comprehensive consideration of vegetation and geography have a positive effect on water and sediment transport which will be important for decision making and water resources management, and provides a reference for future environmental management and ecological construction in the loess plateau Hilly-Gully region.

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Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany

Cited by 367 publications

References 9 publications

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China

Impact of Land Use on Frequency of Floods in Yongding River Basin, China

Optimization of Land Use Pattern Reduces Surface Runoff and Sediment Loss in a Hilly-Gully Watershed at the Loess Plateau, China

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