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GEO-SPATIAL FACTORS FOR WATER RESOURCE DISPARITY IN THAILAND

机译:泰国水资源差异的地理空间因素

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Social disparity in water resource accessibility is a crucial and urgent issue in all communities and regions. Many factors of this problem are population increasing, very low rainfall or heavy rainfall, water consumption, water demand for agriculture and industry sectors including the consequence of imbalanced development. The main objective is to analyze related factor and develop a conditional index of water resources contribute to the social disparity. So the component approach was applied to resolve into the main elements of physical landscape, meteorology, hydrology and social aspects. The disparity database stores geo-spatial information of the primary and secondary parameters which are adopted and weighted by experts. The factor analysis results found that the population density, rainfall intensity, water storage and water resource project, site and distance of soil erosion and also irrigation zone and system are the primary factors for assessing social disparity in water resources solution. Moreover, the conditional index from expert weighting indicates 80 % of social disparity in Thailand, the highest disparity found in 10 local communities at 5 districts of 3 provinces of the northeast part based on community prioritizing. This information has led to better understanding and operation for decision making in all levels and sectors. The result can also be applied used for water resources equalization management of economic and social demand including environmental balance in crisis community and implemented in another area afterward.
机译:在所有社区和地区,水资源可及性方面的社会差距是一个紧迫而紧迫的问题。造成这一问题的许多因素是人口增加,降雨量极少或降雨量很大,用水量,农业和工业部门的用水需求,包括发展不平衡的后果。主要目的是分析相关因素并制定造成社会差距的水资源条件指标。因此,采用分量法来解析自然景观,气象学,水文学和社会方面的主要要素。视差数据库存储专家采用和加权的主要和次要参数的地理空间信息。因子分析结果表明,人口密度,降雨强度,蓄水和水资源工程,土壤侵蚀的位置和距离以及灌溉区和灌溉系统是评估水资源解决方案中社会差距的主要因素。此外,专家加权的条件指数表明泰国的社会差距为80%,根据社区优先次序,东北三省5个地区的10个地方社区的差距最大。这些信息使人们对各级和各个部门的决策有了更好的理解和操作。该结果还可以用于经济和社会需求的水资源均等化管理,包括危机社区的环境平衡,然后在其他地区实施。

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