关键词：
土地盐碱化;地下水位;遥感解译;最大似然分类;克里金插值
摘 要：
为探明受地下水位影响的干旱荒漠区土地盐碱化形成概率,选取甘肃省景泰川电力提灌工程灌区为研究区,以1994、2001、2015年TM影像数据与年均地下水埋深数据为本底数据,采用Arc GIS监督误差分类法对区域遥感影像进行不同程度盐碱地提取分类,运用克里金空间插值将实测地下水位进行空间转换,在此基础上,将分类结果和插值结果通过重分类消除量纲并进行等权重合并,同时把合并结果等间距分5级来表示受地下水位影响土地盐碱化形成概率。结果表明:1994-2015年灌区盐碱地呈现扩张趋势,增长率为61.87%,年均增长率为2.95%;地下水插值结果显示区域内整体地下水位抬升,年均抬升量为0.125 m,东北部地下水位变化最为剧烈;自西南到东北部土地盐碱化形成概率等级逐渐增加,土地等级转变较为明显,盐碱化等级为1、2级的土地明显增加,水位抬升对土地盐碱化等级增加影响突出。研究可为干旱荒漠区区域地下水利用提供理论依据。
译 名：
Classification of Salinization Based on Groundwater Level Interpolation and Remote Sensing Interpretation
作 者：
XU Cun-dong;ZHANG Rui;LIU Lu-yao;CHENG Hui;WANG Rong-rong;XIE Jia-lin;TIAN Zi-xun;School of Water Conservancy,North China University of Water Resources and Electric Power;Collaborative Innovation Center of Water Resources Efficiency and Protection Engineering;Henan Provincial Hydraulic Structure Safety Engineering Research Center;Hydrogeology Bureau of China National Administration of Coal Geology;
单 位：
XU Cun-dong%ZHANG Rui%LIU Lu-yao%CHENG Hui%WANG Rong-rong%XIE Jia-lin%TIAN Zi-xun%School of Water Conservancy,North China University of Water Resources and Electric Power%Collaborative Innovation Center of Water Resources Efficiency and Protection Engineering%Henan Provincial Hydraulic Structure Safety Engineering Research Center%Hydrogeology Bureau of China National Administration of Coal Geology
关键词：
Land salinization;;groundwater level;;remote sensing interpretation;;Maximum Likelihood Classification;;Kriging interpolation
摘 要：
In order to ascertain the probability of land salinization in the arid desert area affected by the groundwater level,Jingtaichuan Power Station irrigation area of Gansu Province is selected as the research area,and the TM image data and annual average groundwater depth data of 1994,2001,and 2015 are used as the background data,the Arc GIS supervised error classification method is used to extract and classify the remote sensing images in saline-alkaline soil with different levels,and the measured groundwater level is spatially converted by Kriging space interpolation. On this basis,the classification results and interpolation results are combined through the reclassification to eliminating dimensional. And the equalization results are divided into five equal intervals to indicate the probability of land salinization formation due to groundwater level. The results show that the saline-alkali land in the irrigation area has an expansion trend from 1994 to2015,with a growth rate of 61.87% and an average annual growth rate of 2.95%. The groundwater interpolation results show that the overall groundwater level in the area is uplifted,with an average annual lift of 0.125 m,and the northeast groundwater level changes most. From the southwest to the northeast,the formation probability of salinization increases gradually,the land grade change is more obvious,Grade 1 and Grade 2 lands increase significantly,and the water level uplift has a significant impact on increasing salinization levels. The study can provide a theoretical basis for groundwater utilization in the arid desert area.
