| Cite this article: | 吴家林,彭杰,白建铎,等.基于电磁感应数据的区域尺度土壤剖面电导率反演模型研究[J].灌溉排水学报,0,():-. |
| WU Jialin,pengjie,baijianduo,et al.基于电磁感应数据的区域尺度土壤剖面电导率反演模型研究[J].灌溉排水学报,0,():-. |
|
| |
|
|
| This article has been：Browse 1517Times Download 0Times |
|
|
|
| DOI： |
|
| Research on Inversion Model of Soil Conductivity at Regional Scale Based on Electromagnetic Induction Data |
|
WU Jialin1,2, pengjie1,2, baijianduo1,2, wangjiawen1,2, jiwenjun3, wangnan4
|
|
1.College of Plant Science,Tarim university,Alar Xinjiang 843300;2.china;3.College of Land Science and Technology, China Agricultural University;4.College of Environment and Resources, Zhejiang University
|
| Abstract: |
| Abstract:【Objective】Soil salinization is the main obstacle to the high yield of cotton in southern Xinjiang. Accurately obtaining regional-scale soil profile salinity information is of great significance to the calculation of cotton field quota irrigation, planting risk assessment and planting structure adjustment.【Method】In this paper, the Alar Reclamation Area in southern Xinjiang is used as the research area. The soil profile conductivity data of 540 samples of 30 cotton fields with different salinization degrees collected at the field scale are 0 ~ 0.375 m, 0 ~ 0.750 m, and 0 ~ 1.000 m. With the corresponding electromagnetic induction data as the data source, the linear model and the nonlinear model were used to construct the electromagnetic induction inversion model of the soil profile conductivity at the field scale and the regional scale, and the method of reducing the modeling sample size was used to further verify the regional scale. The reliability and stability of the model.【Result】The research results show that the field scale model R2 of multiple linear regression (MLR), partial least square regression (PLSR) and principal component regression (PCR) modeling methods is 0.88 ~ 0.95, while the corresponding regional scale model R2 is 0.34 ~ 0.53. The regional-scale electromagnetic induction inversion model R2 of soil profile conductivity based on nonlinear modeling methods such as random forest (RF), neural network (NN) and support vector machine (SVM) is between 0.60 and 0.85, where the accuracy of the RF model The highest, 0 ~ 0.375 m, 0 ~ 0.750 m, 0 ~ 1.000 m soil profile conductivity of the RF inversion model R2 are 0.80, 0.85 and 0.84, respectively, compared with the linear modeling method, the accuracy of the regional scale model is significantly improved. The sample size of the RF regional scale model was gradually reduced from 540 to 240, and the accuracy of the model did not change significantly, indicating that compared with the field-scale model, the regional scale model can greatly reduce the number of soil profile sample collections, which can significantly improve Sampling efficiency and reducing sampling cost.【Conclusion】The research results provide new methods and ideas for the investigation of soil salinization at the regional scale. |
| Key words: Electromagnetic induction; Regional scale; Soil conductivity; Inversion model |
|
|
|
|
|
|
