Open Access
16 December 2013 Long-term effects of land use/land cover change on surface runoff in urban areas of Beijing, China
Zhongchang Sun, Xinwu Li, Wenxue Fu, Yingkui Li, Dongsheng Tang
Author Affiliations +
Abstract
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 (R2 =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 (R2 =0.997 for the whole area and R2 =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
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Zhongchang Sun, Xinwu Li, Wenxue Fu, Yingkui Li, and Dongsheng Tang "Long-term effects of land use/land cover change on surface runoff in urban areas of Beijing, China," Journal of Applied Remote Sensing 8(1), 084596 (16 December 2013). https://doi.org/10.1117/1.JRS.8.084596
Published: 16 December 2013
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Cited by 38 scholarly publications.
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KEYWORDS
Data modeling

Earth observing sensors

Landsat

Soil science

Remote sensing

Agriculture

Geographic information systems

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