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基于GIS和RS的松花江干流哈尔滨段淹没经济损失预测

张慧 雷国平 宋戈 徐晓嘉 田楠

农业工程学报2011,Vol.27Issue(6):193-197,后插3,6.
农业工程学报2011,Vol.27Issue(6):193-197,后插3,6.DOI:10.3969/j.issn.1002-6819.2011.06.035

基于GIS和RS的松花江干流哈尔滨段淹没经济损失预测

Prediction of Songhua River flood economic losses in Harbin based on GIS and RS

张慧 1雷国平 1宋戈 1徐晓嘉 1田楠1

作者信息

  • 1. 东北农业大学资源与环境学院,哈尔滨150030
  • 折叠

摘要

Abstract

Prediction of inundation loss can provide important reference for flood control planning. Base on GIS, the digital elevation model was built, and the the submerged area of Harbin city was simulated under condition that the water level of Songhua River reached to 120.89 m by plane simulation method. The spatial information of urban land use and the spatial distribution of the socio-economic information in Harbin city were acquired by combining GIS with RS technology, and the direct and indirect economic losses were forecasted on agriculture, industry, tertiary industry, rural and urban housing and family wealth in the submerged area. The results showed that when the water level of Songhua River reached 120.89 m, the submerged area which including the Songbei area, Hulan area, Daowai area, Daoli area, Xiangfang area in Harbin would be 1 402 km2, and the total economic loss was 6.82 billion Yuan. Songbei was the most severe submerged area with biggest total economic loss especially on agriculture, industry, tertiary industry and rural residential family wealth. Daoli area and Daowai area had the most severe loss area with urban housing and family wealth, and their economic loss rate per unit area was also higher, so they were the focus of Harbin city for flood control. Hulan area and the Songbei area had the lowest rate of economic loss per unit area, so it could be considered as flood zoon. Spatial layout of parts of industrial land in Songbei area, Hulan area and Daowai area and parts of urban residential land in Daowai area, Daoli area and Xiangfang area was unreasonable.

关键词

地理信息系统;遥感;损失;空间展布模型;经济损失评价;预测

Key words

geographic information systems/ remote sensing/ losses/ The model of spatial distribution/ economic loss assessment/ prediction

分类

社会科学

引用本文复制引用

张慧,雷国平,宋戈,徐晓嘉,田楠..基于GIS和RS的松花江干流哈尔滨段淹没经济损失预测[J].农业工程学报,2011,27(6):193-197,后插3,6.

基金项目

国家自然基金“松嫩高平原黑土区耕地利用系统安全及其调控机制研究——以巴彦县为例”(41071346),黑龙江省青年学术骨干项目“基于3s技术的黑龙江省垦区典型地域土地利用/覆盖变化及其生态效应评价”(1154G45) (41071346)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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