Liu Gang, Huang Qiong-Yao, Liu Yun-Ziang, Wang Jiang-Tao, Peng Fei, Liu Nian-Meng
Mathematics and Computer Science College, Hunan Normal University, Changsha 410081, China.
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi. 2011 Jun;23(3):253-7.
To explore the relationship between the Oncomelania snail situation and the distance to the water source, soil humidity, vegetation and water level in flood seasons in the islets of Changsha Section of the Xiang River.
Combined with the NDVI and soil humidity of islets, the GIS spatial analysis based on grid data-driven was used to analyze the snail situation in Changsha Section of the Xiang River from 2005 to 2009. The relationship between the snail density and the water level in blood seasons was analyzed.
In 2005, the snails in Zengpi Islet were mainly distributed at the range of 40-240 m far away from the nearest water source, and the number at the spots with a distance of 60 m was the largest. There was an obvious positive correlation between the snail density and water level in flood seasons. The ranges of the Normalized Difference Vegetation Index and soil humidity of Zengpi Islet in 2005 were 0-0.982 and 0-0.298, respectively and the main vegetation in Changsha Section of the Xiang River were weed and sedge. The map of snail situation by year was drawn according to the standard water level, which reflected the snail situation intuitionistically.
By using spatial analysis based on grid data-driven, the situation of vegetation, soil humidity and snail accurately can be reflected, which can help us to understand the endemic situation timely. Even under the circumstance of human intervention, the water level in flood seasons is still an important factor influencing the change of snail situation.
探讨湘江长沙段江心洲钉螺分布状况与距水源距离、土壤湿度、植被及汛期水位的关系。
结合江心洲的归一化植被指数(NDVI)和土壤湿度,运用基于网格数据驱动的GIS空间分析方法,对2005 - 2009年湘江长沙段钉螺分布状况进行分析,并分析汛期钉螺密度与水位的关系。
2005年曾皮洲钉螺主要分布在距最近水源40 - 240 m范围内,距离60 m处的钉螺数量最多。汛期钉螺密度与水位呈明显正相关。2005年曾皮洲归一化植被指数范围为0 - 0.982,土壤湿度范围为0 - 0.298,湘江长沙段主要植被为杂草和莎草。根据标准水位绘制年度钉螺分布状况图,直观反映钉螺分布情况。
运用基于网格数据驱动的空间分析方法,能够准确反映植被、土壤湿度及钉螺分布状况,有助于及时了解血吸虫病流行态势。即使在有人类活动干预的情况下,汛期水位仍是影响钉螺分布变化的重要因素。