Study the Soil Salinization Character of the Yyangtze River Estuary Area with An Electromagnetic Induction EM 38
Guangming Liu
Abstract
Guangming Liu
Abstract
Electromagentic induction EM38 was applied to study the spatial variability of soil salinity with the help of GIS and geostatistics,which was performed in typical sectors of Yangtze river estuary. The results showed that the related coefficient of apparent electrical conductivity(EM38) and soil electrical conductivity(EC1∶5) all achieved 1% significance level,and the best multiple regression equation was EMh+EMv as independent variable in the three equations. Statistical characterization of salinity showed that amplitude was large of soil salinity and with the depth increasing the amplitude diminishingly,the means of six layers salinity between 0.7136 g/kg and 0.8137 g/kg,and with the depth increase the soil salinity rise,as a whole the salinity distribution possessed inverted salinity profiles. The soil salinity present moderate spatial variability,and the coefficient of variation varied large in different layers,in horizontal direction the soil salinity decrescendo with the depth increase. Soil salinity spatial distribution showed that the salinity had the trend of gradually reduce from south to north and east to west,and with the depth increase the soil salinity constant rise. The proportion of area percentage of soil salinity showed the majority of the area was desalinized soil,the proportion of light and moderate salinized soil were small,because of the saliferous parent material and groundwater salinity influence,the soil salinization occur hadpotential threat. Applied the apparent electrical conductivity interpreted the soil salinity,the result truly reflected the study area soil salinization condition,the study provided basis material for improvement and precaution the soil salinization.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Electromagentic induction EM38 was applied to study the spatial variability of soil salinity with the help of GIS and geostatistics,which was performed in typical sectors of Yangtze river estuary. The results showed that the related coefficient of apparent electrical conductivity(EM38) and soil electrical conductivity(EC1∶5) all achieved 1% significance level,and the best multiple regression equation was EMh+EMv as independent variable in the three equations. Statistical characterization of salinity showed that amplitude was large of soil salinity and with the depth increasing the amplitude diminishingly,the means of six layers salinity between 0.7136 g/kg and 0.8137 g/kg,and with the depth increase the soil salinity rise,as a whole the salinity distribution possessed inverted salinity profiles. The soil salinity present moderate spatial variability,and the coefficient of variation varied large in different layers,in horizontal direction the soil salinity decrescendo with the depth increase. Soil salinity spatial distribution showed that the salinity had the trend of gradually reduce from south to north and east to west,and with the depth increase the soil salinity constant rise. The proportion of area percentage of soil salinity showed the majority of the area was desalinized soil,the proportion of light and moderate salinized soil were small,because of the saliferous parent material and groundwater salinity influence,the soil salinization occur hadpotential threat. Applied the apparent electrical conductivity interpreted the soil salinity,the result truly reflected the study area soil salinization condition,the study provided basis material for improvement and precaution the soil salinization.
Key concepts: Soil salinity, Salinity, Dryland salinity, Environmental science, Estuary, Soil science, Hydrology (agriculture), Spatial variability