Journal of Applied Remote Sensing · 2013 · 51 citations · 30 references
Natural ResourcesGeoinformaticsHydrologyHydrologic ModelingLandscape ModelingUrban HydrologyHydrologic Impacts Of UrbanizationImpervious Surface EffectsLand Cover Effects On WatershedsLand UseUrban Expansion DetectionUrban Hydrologic ModelingHydrologic Impact AssessmentLand Cover Change EffectsLand Cover Change ImpactsLand Cover Effects On RunoffLand Use Effects On RunoffLand Use Impacts On RunoffLand-cover ChangeLand-use Change Impacts
The objective of this paper is to present a case study to derive land use/land cover (LULC) maps and investigate the long-term effects of LULC change on surface runoff in the fast urbanizing Beijing city. The LULC maps were derived from Landsat TM/ETM+ imagery (acquired in 1992, 1999, 2006, and 2009) using support vector machine method. A long-term hydrologic impact assessment model was applied to assess the impact of LULC change on surface runoff. Results indicated that the selected study area experienced rapid urbanization from 1992 to 2009. Because of urbanization, from 1992 to 2009, modeled runoff increased 30% for the whole area and 35% for the urban portion. Our results also indicated that the runoff increase was highly correlated with urban expansion. A strong relationship (R 2 =0.849 ) was observed between the impervious surface percent and the modeled runoff depth in the study area. In addition, a strong positive relationship was observed between runoff increase and percentage of urban areas (R 2 =0.997 for the whole area and R 2 =0.930 for the urban portion). This research can provide a simple method for policy makers to assess potential hydrological impacts of future urban planning and development activities.
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Yuhai Wu, Vladimir Vapnik · Technometrics · 1999 · 27K citations
Libsvm : A library for support vector machines
Vittorio Ferrari · Medical Entomology and Zoology · 2008 · 10.1K citations