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Global climate change, combined with the construction of impermeable urban elements, tends to increase runoff, which might cause flooding and reduce groundwater recharge. Moreover, the first flash of these areas might accumulate pollutants that might deteriorate groundwater quality. A digital elevation model (DEM) describes urban landscapes by representing the watershed relief at any given location. While, in concept, finer DEMs and land use classification (LUC) are yielding better hydrological models, it is suggested that over-accuracy overestimates minor tributaries that might be redundant. Optimal DEM resolution with integrated spectral and feature-based LUC was found to reflect the hydrological network’s significant tributaries. To cope with the karstic urban watershed complexity, ModClark Transform and SCS Curve Number methods were integrated over a GIS-HEC-HMS platform to a nominal urban watershed sub-basin analysis procedure, allowing for detailed urban runoff modeling. This precise urban karstic terrain modeling procedure can predict runoff volume and discharge in urban, mountainous karstic watersheds, and may be used for water-sensitive design or in such cities to control runoff and prevent its negative impacts.
Details
Topography;
Groundwater quality;
Watersheds;
Land use;
Parks & recreation areas;
Monitoring systems;
Urban watersheds;
Urban runoff;
Remote sensing;
Tributaries;
Digital Elevation Models;
Groundwater;
Hydrologic models;
Classification;
Groundwater recharge;
Geographical information systems;
Groundwater runoff;
Climate change;
Terrain models;
Karst;
Urban environments;
Drainage;
Mountainous areas;
Hydrology;
Urban areas;
Aquifers;
Water quality;
Modelling;
Global climate;
Permeability;
Runoff volume;
Mountains;
Geographic information systems;
Land use classification;
Cities
; Ne’eman Nitzan 2 ; Gimburg Alexander 3 ; Benenson Itzhak 4
1 The Department of Chemical Engineering, Ariel University, Ariel 40700, Israel, The Department of Environmental Research, Eastern R&D Center, Ariel 40700, Israel; [email protected], Renewable Energy and Energy Efficiency Group, Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC 3010, Australia
2 The Department of Environmental Engineering, School of Engineering, Tel Aviv University, Tel Aviv 69978, Israel; [email protected]
3 The Department of Environmental Research, Eastern R&D Center, Ariel 40700, Israel; [email protected]
4 The Department of Geography and Human Environment, Porter School of Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel; [email protected]