Groundwater is a finite resource which is being overexploited due to increase in demand over the years leading to decrease in its potentiality.As it is known that ground water is the only major source of drinking wate...Groundwater is a finite resource which is being overexploited due to increase in demand over the years leading to decrease in its potentiality.As it is known that ground water is the only major source of drinking water for both urban and rural India its proper management is very essential for its sustainability. In the present study,DRASTIC model is展开更多
近30年来,随着对地观测技术、资源调查与信息传输技术的增强,地里国情各领域积累了海量的空间数据。在时间序列内对海量空间数据处理分析,为环境变化预测、生态恢复重建、资源合理开发提供科学的数据参考。国家对土地资源普查监测频次...近30年来,随着对地观测技术、资源调查与信息传输技术的增强,地里国情各领域积累了海量的空间数据。在时间序列内对海量空间数据处理分析,为环境变化预测、生态恢复重建、资源合理开发提供科学的数据参考。国家对土地资源普查监测频次逐年提高,以此来了解资源现状、以及变化情况。传统模型对数据处理分析存在一定限制。在此背景下,选取黑河上游山区作为实验区,构建Logistic-CA-Markov(LCM)模拟与预测模型,探讨其对实验区LUCC(land use and cover change)的模拟效果,以及预测未来30年实验区LUCC情况。结果表明,对时空数据的时间序列变化与空间维度演化,LCM模型具有较强的模拟能力。展开更多
文摘Groundwater is a finite resource which is being overexploited due to increase in demand over the years leading to decrease in its potentiality.As it is known that ground water is the only major source of drinking water for both urban and rural India its proper management is very essential for its sustainability. In the present study,DRASTIC model is
文摘近30年来,随着对地观测技术、资源调查与信息传输技术的增强,地里国情各领域积累了海量的空间数据。在时间序列内对海量空间数据处理分析,为环境变化预测、生态恢复重建、资源合理开发提供科学的数据参考。国家对土地资源普查监测频次逐年提高,以此来了解资源现状、以及变化情况。传统模型对数据处理分析存在一定限制。在此背景下,选取黑河上游山区作为实验区,构建Logistic-CA-Markov(LCM)模拟与预测模型,探讨其对实验区LUCC(land use and cover change)的模拟效果,以及预测未来30年实验区LUCC情况。结果表明,对时空数据的时间序列变化与空间维度演化,LCM模型具有较强的模拟能力。
