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Research on the Variation of Population Distribution and Its Characteristics Based on Spatial Autocorrelation Method: A Case Study of poyang lake region in Jiangxi Province

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Chinese Journal of Population,Resources and Environment 2010年第4期8卷 76-78页

作者： Luo Hui Yang Weichun School of Medicine Jinggangshan UniversityJi＇an Jiangxi 343009China Shandong Normal University Jinan Shandong 250014China

According to Statistical Yearbook of Jiangxi Province(2001～2006),We analyze the time-space variation of population distribution of poyang lake region from the two points of *** former is quality of population,which involves culture structure,occupational structure,age structure and sex structure of *** latter is quantity of population,which only involves the amount of ***,we can reveal the internal relations and action mechanism of variation of population distribution by analyzing the regional economic development,population urbanization,land use and ecological landscape of poyang lake *** is important to provide help for region planning,ecological landscape planning and environmental protection by correct understanding the man-land relationship of natural-human ecosystem in poyang lake region.

关键词： population distribution spatial autocorrelation changing characteristics poyang lake region

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Farmers＇ vulnerability to flood risk： A case study in the poyang lake region

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Journal of Geographical Sciences 2007年第3期17卷 269-284页

作者： MA Dingguo CHEN Jie ZHANG Wenjiang ZHENG Lin LIU Ying Institute of Geographic Sciences and Natural Resources Research CAS Beijing 100101 China College of Geography ＆ Environment Jiangxi Normal University Nanchang 330022 China Graduate School of the Chinese Academy of Sciences Beijing 100039 China

This paper quantitatively explores farmers＇ vulnerability to flood in the poyang lake region （PLR） with the supports of GIS spatial functions. The analysis consists of three major steps, which is based on the spatial unit of township. Firstly, the spatial extent and characteristics of flood risk areas were determined using a digital elevation model （DEM） derived from the 1：50,000 topographic map. Secondly, for each of the township, six indices indicating the economic activities of local farmers were calculated. These indices are： rural population proportion, cultivated land proportion, GDP per unit area, employment proportion of primary industry, net rural income per capita and agricultural income proportion. These six indices were then normalized and used for later vulnerability assessment. Thirdly, the normalized indices （as GIS data layers） were overlaid with the flood risk areas to produce the risk coefficient for each township and to calculate the overall vulnerability for each township. The analysis results show that in the PLR there are high flood risk areas where the farmers＇ livings are seriously influenced or threatened. About 55.56% of the total 180 townships in the flood risk areas have a high degree of flood vulnerability. The townships under flood risk are mainly distributed in the areas around the poyang lake and the areas along the ＂five rivers＂.

关键词： flood risk farmer vulnerabifity poyang lake region

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维普期刊数据库

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Using Weights of Evidence in the Spatial Relation Between Infected Snails and Geographic Factors

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Geo-Spatial Information Science 2009年第3期12卷 217-224页

作者：赵安鲍曙明宫鹏 School of Geography and Environmental Science Jiangxi Normal University Key Lab of poyang lake Wetland and Watershed Research Jiangxi Normal University and Ministry of Education

Schistosomiasis is a serious public health problem in the middle-lower Yangtze River Basin in China. Study of spatial variation of snail distribution that is related to microgeographic factors can help to choose pertinent measures for snail extinguishment and environment rebuilding. This paper studied the theoretical architecture of weights-of-evidence approach. The case study was made for spatial relation between the occurrence of infected snails and geographic factor combinations in Waijiazhou marshland of poyang lake region in China. The multievidence data came from the geographical factor combinations by crossing operation of vegetation coverage grade layer, cattle route distance grade layer, and special environment layer (181 combinations in total) in GIS. The calculation of weight contrast index shows that high vegetation coverage, cattle route distance of <45 meters, and special geographic factor "ground depression" had direct spatial relation with the occurrence of infected snails. The verification by crossing operation in GIS indicated 72.45% of the infected snails concentrated on the areas of positive weight contrast index (sequenced in an order of weight contrast index from high to low), demonstrating the high efficiency of the model established in finding infected snails according to the geographic factor combinations that can be explicitly discerned in the study area.

关键词： weights of evidence Bayesian conditional probability infected snail poyang lake region

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