黄河三角洲地区植被生长旺盛期地下水埋深遥感反演  

Remote Sensing Inversion of Groundwater Level in the Yellow River Delta during Plants Thrive

作　　者：尹涛 王瑞燕[1] 杜文鹏 王靖伟[2] 任涛[3] 曹光山 

机构地区：[1]山东农业大学,山东泰安271018 [2]日照市国土资源局,山东日照276800 [3]山东省泰安市农业局植物保护站,山东泰安271018 [4]滨州市沾化区国土资源局.山东滨州256800

出　　处：《灌溉排水学报》2018年第2期95-100,共6页Journal of Irrigation and Drainage

基　　金：国家自然科学基金项目(41271235); 山东农业大学“双一流”建设创新团队项目(SYL2017XTTD02);山东农业大学青年教师成长计划经费和青年创新基金共同资助项目(41401239); 山东省科技创新重大项目(2017CXGC0306)感谢国家科技基础条件平台建设项目“地球系统科学数据共享平台”提供的数据支持!

摘　　要：【目的】快速准确地获得大面积的黄河三角洲地区地下水埋深。【方法】利用2004年18个站点的植被生长旺盛时期(7—9月)的地下水埋深数据,采用一元和多元线性回归建模方法,确定反演指标,比较了遥感指标反演法与地学和遥感相结合的2种反演模型。【结果】对数变换后的NDVI、指数变换后的晚上LST和指数运算后的晚上TVDI是地下水埋深反演的敏感遥感指标,观测点距黄河的距离(H1)、观测点周围水体密度(ρ)、对数变换后的观测点距海岸线的距离(H2)和DEM是地下水埋深反演的敏感地学指标;只用遥感指标建立的地下水埋深预测模型的决定系数R2为0.496,引入地学参数后模型R2平均值增加到0.791。遥感和地学指标相结合的方法可以更准确地反演植被生长旺盛期研究区的地下水埋深分布状况。【结论】将遥感指标和地学指标相结合进行模拟更合理。【Objective】Obtain the groundwater level of the Yellow River Delta rapidly and accurately.【Method】The groundwater level data of the 18 sites in 2004（July to September） and the method of univariate and multivariate linear regression were used to select the inversion indices, then the two inversion models of remote sensing indices inversion and geoscience and remote sensing indices inversion were compared.【Result】The logarithmic transformed NDVI, exponential transformed LST at night and the exponential transformed TVDI at night were the sensitive remote sensing indices for the inversion of groundwater level. The distance from the Yellow River（H1）,the water density around the observation site（H2） and DEM were the sensitive geographical indices for the inversion of groundwater level. The determination coefficient of the groundwater level prediction model was increased from 0.496 to 0.791 when the geographical indices were introduced. The data from other years showed that the method of combination the remote sensing with the geo-referenced indices could accurately predict the distribution of groundwater depth in the study area during the vegetative growth period.【Conclusion】The combination of remote sensing index and geoscience index is more reasonable.

关 键 词：黄河三角洲 地下水埋深 模型 

分 类 号：TP7[自动化与计算机技术—检测技术与自动化装置]