探讨基于遥感和地理信息系统(Geographic Information System,GIS)技术的水资源调查与评价方法,旨在提高水资源管理的效率和准确性。使用遥感技术进行数据采集和处理,以及利用GIS进行空间数据的管理和分析,研究内容涵盖了水资源量的计...探讨基于遥感和地理信息系统(Geographic Information System,GIS)技术的水资源调查与评价方法,旨在提高水资源管理的效率和准确性。使用遥感技术进行数据采集和处理,以及利用GIS进行空间数据的管理和分析,研究内容涵盖了水资源量的计算、水质评价、水资源管理策略等方面。结果显示,遥感和GIS技术能有效提供水资源量化评估,识别和分析水质状况,支持水资源的合理分配和可持续利用。遥感和GIS技术在水资源调查和管理中展现出巨大的潜力,但也面临数据精度、处理复杂性和成本效益的挑战。未来研究需要集成跨学科知识,优化技术应用,以更全面、高效地解决全球水资源问题。展开更多
Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clu...Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method,ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition.The model was applied to partition the Ulansuhai Lake,a typical shallow lake in arid climate zone in the west part of Inner Mongolia,China and grade the condition of water quality divisions.The results showed that the partition well matched the real conditions of the lake,and the method has been proved accurate in the application.展开更多
文摘探讨基于遥感和地理信息系统(Geographic Information System,GIS)技术的水资源调查与评价方法,旨在提高水资源管理的效率和准确性。使用遥感技术进行数据采集和处理,以及利用GIS进行空间数据的管理和分析,研究内容涵盖了水资源量的计算、水质评价、水资源管理策略等方面。结果显示,遥感和GIS技术能有效提供水资源量化评估,识别和分析水质状况,支持水资源的合理分配和可持续利用。遥感和GIS技术在水资源调查和管理中展现出巨大的潜力,但也面临数据精度、处理复杂性和成本效益的挑战。未来研究需要集成跨学科知识,优化技术应用,以更全面、高效地解决全球水资源问题。
基金Supported by the National Natural Science Foundation of China (No.50269001, 50569002, 50669004)Natural Science Foundation of Inner Mongolia (No.200208020512, 200711020604)The Key Scientific and Technologic Project of the 10th Five-Year Plan of Inner Mongolia (No.20010103)
文摘Water quality assessment of lakes is important to determine functional zones of water use.Considering the fuzziness during the partitioning process for lake water quality in an arid area,a multiplex model of fuzzy clustering with pattern recognition was developed by integrating transitive closure method,ISODATA algorithm in fuzzy clustering and fuzzy pattern recognition.The model was applied to partition the Ulansuhai Lake,a typical shallow lake in arid climate zone in the west part of Inner Mongolia,China and grade the condition of water quality divisions.The results showed that the partition well matched the real conditions of the lake,and the method has been proved accurate in the application.
