When impervious cover doesn't predict urban runoff: Lessons from distributed overland flow modeling

Kirker, Ashleigh N.; Toran, Laura

doi:10.1016/j.jhydrol.2023.129539

Cited by 8 publications

(2 citation statements)

References 52 publications

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“…After all, the RIT of the region increased by 102% from T 1 to T 2 . In addition, differences in slope, building configuration, and land use in urban impervious areas can lead to runoff nonconsistency even with the same RIT (Hamilton et al, 2021; Kirker & Toran, 2023). Therefore, the variability in land use types among watersheds leads to asymmetric responses in runoff.…”

Section: Discussionmentioning

confidence: 99%

Runoff response to multiple land‐use changes and climate perturbations

Yang,

Xue,

Liu

et al. 2024

Hydrological Processes

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Runoff response to multiple land‐use changes and climate perturbations is distinct, and the main influencing factors vary significantly in different regions. However, few have simultaneously considered the effects of multiple land use changes (vegetation cover changes, terraces and check‐dams construction, and urban expansion) and climatic perturbations (precipitation, potential evapotranspiration, and temperature) on runoff and constructed separate expressions for distinct study areas. This article attempted to determine the main influencing factors of runoff according to the fitting function in the eight subregions of the middle Yellow River (MYR), construct the expressions between the controlling parameter in the Budyko framework and the main factors, and quantify the contribution of climate factors and land use changes to runoff by combining the elasticity coefficient in each subregion. The results indicated that climate factors and land use changes could significantly impact controlling parameters, and there were differences between regions. Climate change promoted an increase in runoff, while land use change promoted its reduction, and the reduction value outweighed its increase. In terms of land use changes, increasing vegetation coverage could suppress runoff reduction, while constructing terraces and check‐dams could promote its reduction. The urban expansion benefited runoff collection and, therefore, could suppress runoff reduction. Its absolute contribution rate exceeded 200% in apparent urban expansion areas. In addition, the contribution rates of land use to runoff changes in the northern arid and semi‐arid regions were significantly higher than those in the southern, and they were more sensitive to land use changes. The research results can provide a reference for analysing the runoff response to different land‐use changes and can further advance people's understanding of the water cycle.

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Section: Discussionmentioning

confidence: 99%

Runoff response to multiple land‐use changes and climate perturbations

Yang,

Xue,

Liu

et al. 2024

Hydrological Processes

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“…Surface runoff hydrographs from subcatchments serve as crucial input functions that form the runoff hydrographs for urban catchments of varying scales, configurations, and complexities [ [5] , [6] , [7] , [8] , [9] ]. Methods for modelling surface runoff should comprehensively consider a multitude of factors and specific characteristics of the subcatchment, including its configuration [ [10] , [11] , [12] , [13] ], absolute dimensions [ 14 , 15 ], slope distribution at the subcatchment's area [ 16 , 17 ], surface cover types and their spatial distribution [ 18 , 19 ], correlation between the total and effective imperviousness [ 2 , 4 , 20 , 21 ], infiltration properties of soils [ 11 , [22] , [23] , [24] ] etc. Errors at this initial stage of modelling inevitably and often significantly impact the subsequent modelling of the entire stormwater drainage system [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental surface runoff hydrographs from linear impervious subcatchments for rainfalls of extremely high intensity

Zhuk,

Vovk,

Popadiuk

et al. 2024

Heliyon

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Optimizing flood susceptibility assessment in semi-arid regions using ensemble algorithms: a case study of Moroccan High Atlas

Bammou,

Benzougagh,

Igmoullan

et al. 2024

Nat Hazards

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This study explores and compares the predictive capabilities of various ensemble algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, and LR, for assessing flood susceptibility (FS) in the Houz plain of the Moroccan High Atlas. The inventory map of past flooding was prepared using binary data from 2012 events, where “1” indicates a flood-prone area and “0” a non-flood-prone or extremely low area, with 762 indicating flood-prone areas. 15 different categorical factors were determined and selected based on importance and multicollinearity tests, including slope, elevation, Normalized Difference Vegetation Index, Terrain Ruggedness Index, Stream Power Index, Land Use and Land Cover, curvature plane, curvature profile, aspect, flow accumulation, Topographic Position Index, soil type, Hydrologic Soil Group, distance from river and rainfall. Predicted FS maps for the Tensift watershed show that, only 10.75% of the mean surface area was predicted as very high risk, and 19% and 38% were estimated as low and very low risk, respectively. Similarly, the Haouz plain, exhibited an average surface area of 21.76% for very-high-risk zones, and 18.88% and 18.18% for low- and very-low-risk zones respectively. The applied algorithms met validation standards, with an average area under the curve of 0.93 and 0.91 for the learning and validation stages, respectively. Model performance analysis identified the XGBoost model as the best algorithm for flood zone mapping. This study provides effective decision-support tools for land-use planning and flood risk reduction, across globe at semi-arid regions.

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When impervious cover doesn't predict urban runoff: Lessons from distributed overland flow modeling

Cited by 8 publications

References 52 publications

Runoff response to multiple land‐use changes and climate perturbations

Runoff response to multiple land‐use changes and climate perturbations

Experimental surface runoff hydrographs from linear impervious subcatchments for rainfalls of extremely high intensity

Optimizing flood susceptibility assessment in semi-arid regions using ensemble algorithms: a case study of Moroccan High Atlas

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