BP网络在焉耆盆地土壤积盐影响因素分析中的应用

以焉耆盆地为例，采用BP网络技术，对土壤舍盐量与各种影响因素的关系作了初步定量评价，发现潜水矿化度和潜水位埋深是土壤舍盐量的最敏感因素，其次是灌区引水量、引盐量和地下水蒸发量，其中灌区引水量大是焉耆盆地土壤次生盐渍化加剧的最主要因素；而潜水位埋深是土壤脱盐最敏感的因素。焉耆盆地土壤次生盐渍化防治应从减少灌溉引水量和降低地下水位入手。

Application of BP Network in Influential Factors Analysis for Soil Salt Accumulation in Yanji Basin

There are many influential factors resulting in soil secondary salinization. Based on the analysis of the relationship between soil salinity and its influential factors, the effective measures for prevention of soil secondary salinization can be gained. In this paper, the relationships between soil salinity and influential factors are quantitatively estimated by BP network with the case study of Yanji Basin. The TDS and the buried depth of phreatic groundwater are found to be the most sensitive factors for soil salinity accumulation; the salinity of irrigation water, and the evaporation discharge of groundwater the secondary sensitive factors; and the volume of irrigation water is the most important factor for soil secondary Salinization. The buried depth of water level is the most sensitive factor for soil desalination in this area. To control soil salinization in this area, the techniques of water saving irrigation and groundwater level control should be taken.