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[1]CHEN Weizhi,FU Baohong.Spatial Distribution and Optimization of the Rural Residential Area in Yingjiang County Based on Geological Hazard Zoning[J].Research of Soil and Water Conservation,2017,24(03):320-324,368.

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Spatial Distribution and Optimization of the Rural Residential Area in Yingjiang County Based on Geological Hazard Zoning

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 03 Page number: 320-324,368 Column: Public date: 2017-06-28

Title:: Spatial Distribution and Optimization of the Rural Residential Area in Yingjiang County Based on Geological Hazard Zoning

Author(s):: CHEN Weizhi, FU Baohong; School of Resources, Environment and Earth Science, Yunnan University, Kunming, Yunnan 650504, China

Keywords:: geological hazards; risk zoning; rural residential distribution; optimization; Yingjiang County

CLC:: F301.2

DOI:: -

Abstract:: To strengthen the understanding of the geological environment safety distribution of the rural settlement areas, to promote the sustainable and healthy development of the rural construction land, Yingjiang County in Yunnan Province was selected as the study area, a logistic model was used for zoning the geological hazard risk according to slopes and linear structures. Aiming at unifying evaluation unit, we created fishnet in ArcGIS to transform geographic information data to be grid. According to the zoning results, the distribution of the rural settlements was analyzed and studied. The results showed that the areas highly prone to geological risk in Yingjiang County accounted for 63.57% of the total area, including 95.83% of the county’s geological disaster in history; and rural residential areas located in the areas highly prone to geological disaster accounted for 74.55% of the total area of residential land, all towns have somewhere located in high prone areas; according to zoning of geological hazard risk and the rural residential distribution, the towns and the typical villages can be divided into 3 levels, including the ‘gradient propulsion’, ‘internal rectification’ and ‘situ urbanization’. So then, three optimization paths were proposed in this paper.

References:: [1] 迟明杰,李小军,陈波,等.2014年"5·24","5·30"盈江地震中地形及土层条件对房屋震害影响分析[J].地震工程与工程振动,2015,35(2):94-102.
[2] Carrara A. Uncertainty in Evaluating Landslide Hazard and Risk[M]. Holanda:Kluwer Academic Publishers,1993.
[3] Ohlmacher G C, Davis J C. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA[J]. Engineering Geology, 2003,69(3):331-343.
[4] 王轶,王慧玲.地质灾害危险性评价与区划及GIS应用研究[J].勘察科学技术,2004(6):38-40.
[5] Sun H S, Huang J F, Jin Y, et al. Spatial distribution characteristics analysis and optimization of county-level settlements based on GIS[J]. Journal of Zhejiang University,2007,33(3):348-354.
[6] 王卫东,钟晟.基于GIS的Logistic回归模型在地质灾害危险性区划中的应用[J].工程勘察,2009,37(11):5-10.
[7] 侯敏,贾韶辉,郭兆成.基于RS与GIS的层次分析法在滑坡危险性评估中的应用:以四川宣汉天台乡滑坡为例[J].现代地质,2006,20(4):668-672.
[8] 王晨懿,税伟,苏正安,等.基于地质灾害区划的向峨乡农村居民点空间布局、用地演化研究[J].中国土地科学,2013,27(3):70-78.
[9] 姜磊,雷国平,张健,等.农村居民点空间布局及优化分析[J].水土保持研究,2013,20(1):224-229.
[10] 刘超,杨海娟,郑娜,等.基于微观视角的农村居民点发展评价与布局优化:以陕西省重点示范镇沙河子镇为例[J].地域研究与开发,2014,33(6):147-152.
[11] 张颖,徐辉.基于MCR模型的农村居民点布局适宜性分区及优化模式研究:以南京市六合区金牛湖街道为例[J].长江流域资源与环境,2014,23(11):1485-1492.
[12] 唐川,马国超.基于地貌单元的小区域地质灾害易发性分区方法研究[J].地理科学,2015,35(1):91-97.
[13] 大范,史培军,辜智慧.行政单元数据向网格单元转化的技术方法[J].地理科学,2004,24(1):105-108.
[14] 李雪平,唐辉明.基于GIS的分组数据Logistic模型在斜坡稳定性评价中的应用[J].吉林大学学报:地球科学版,2005,35(3):361-365.
[15] 张海燕,王新民,尹慧,等.地质灾害风险评价阈回归联合聚类分析[J].吉林大学学报:地球科学版,2011,41(2):529-535.
[16] 丁伟翠,薛星桥,杨强,等.基于GIS的甘肃省灵台县地质灾害易发性区划研究[J].水土保持研究,2010,17(3):32-34.
[17] 邹利林,王建英.中国农村居民点布局优化研究综述[J].中国人口·资源与环境,2015,25(4):59-68.
[18] 魏洪斌,廖和平.农村居民点土地集约利用评价研究[J].中国农学通报,2011,27(11):181-186.
[19] 郭月婷,廖和平,徐建刚.三峡库区农村居民点用地适宜性评价[J].农业工程学报,2012,28(5):252-259.
[20] 刘明皓,戴志中,邱道持,等.山区农村居民点分布的影响因素分析与布局优化:以彭水县保家镇为例[J].经济地理,2011,31(3):476-482.

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