Literature DB >> 28718093

Evolvement rules of basin flood risk under low-carbon mode. Part II: risk assessment of flood disaster under different land use patterns in the Haihe basin.

Fawen Li1, Liping Wang2, Yong Zhao3.   

Abstract

Land use pattern contains a large amount of information about the flood hazard-formative environments, which is the most sensitive factor in hazard-formative environments. In this paper, based on the land use pattern in 2008 (the base year) and in 2020 (the planning year), the comparative analysis of flood disaster risk changes in Haihe basin were studied by the spatial analysis function of ARCGIS and the analytic hierarchy process (AHP). The results showed the flood disaster risk in Haihe basin had an obvious zonality in the space, among which low risk was located in the northwest regions, and high risk was located in the southeast regions. Flood disaster risk in planning year was lower than in the base year. The risk value of 2020 in the mountain decreases from 0.445 to 0.430, while the risk value of the plain increases from 0.562 to 0.564. For the plain, high-risk area in 2020 is increased by 13.2%, which is the biggest change in risk grades. For the mountain, low-risk area and low risk area in 2020 are increased, and the low-risk area is the biggest increase, up to 37.7%. Meanwhile, high-risk area, high risk area, and medium risk area all tend to decrease, and the high-risk area is the biggest decrease, up to 32.6%. Overall, land use planning pattern under low-carbon mode is conducive to the Haihe basin flood control. The research can provide scientific foundations for basin land use planning and flood disaster risk management.

Entities:  

Keywords:  Analytic hierarchy process; Different land use patterns; Flood disaster risk; Land use planning

Mesh:

Substances:

Year:  2017        PMID: 28718093     DOI: 10.1007/s10661-017-6102-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  The return periods and risk assessment of severe dust storms in Inner Mongolia with consideration of the main contributing factors.

Authors:  Xueqin Liu; Ning Li; Wei Xie; Jidong Wu; Peng Zhang; Zhonghui Ji
Journal:  Environ Monit Assess       Date:  2011-09-29       Impact factor: 2.513

2.  Coastal flood risk analysis using landsat-7 ETM+ imagery and SRTM DEM: a case study of Izmir, Turkey.

Authors:  A C Demirkesen; F Evrendilek; S Berberoglu; S Kilic
Journal:  Environ Monit Assess       Date:  2006-12-14       Impact factor: 2.513

3.  Fire risk evaluation using multicriteria analysis--a case study.

Authors:  Krishna Prasad Vadrevu; Anuradha Eaturu; K V S Badarinath
Journal:  Environ Monit Assess       Date:  2009-05-27       Impact factor: 2.513

4.  Comprehensive analysis of an ecological risk assessment of the Daliao River estuary, China.

Authors:  Ge Yu; Jing Chen; Xueqing Zhang; Zhengyan Li
Journal:  Environ Monit Assess       Date:  2013-01-23       Impact factor: 2.513

  4 in total

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