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基于指示Kriging法的土壤盐渍化与地下水埋深关系研究
引用本文:徐英,葛洲,王娟,李伟,冯绍元.基于指示Kriging法的土壤盐渍化与地下水埋深关系研究[J].农业工程学报,2019,35(1):123-130.
作者姓名:徐英  葛洲  王娟  李伟  冯绍元
作者单位:1.扬州大学水利与能源动力工程学院,扬州 225009;,1.扬州大学水利与能源动力工程学院,扬州 225009;,1.扬州大学水利与能源动力工程学院,扬州 225009;,2.镇江市工程勘测设计研究院,镇江 212003;,1.扬州大学水利与能源动力工程学院,扬州 225009;
基金项目:国家重点研发计划项目(2017YFC0403301);国家自然科学基金(51609209);江苏省自然科学基金(BK20160471)
摘    要:在北方干旱、半干旱的地下水浅埋区,土壤盐渍化是土地资源退化的主要原因,防治土壤盐渍化是农业和生态环境可持续发展的重要保障。该文以内蒙古河套灌区解放闸灌域为例,运用指示Kriging法绘制并比较了不同阈值下地下水位埋深和土壤表层含盐量的概率分布图,从概率空间分布的角度分析研究了土壤盐渍化与地下水位埋深之间的关系,从而将这方面的研究从通常的农田尺度扩大到灌域尺度。结果表明:1)土壤盐分和地下水位埋深空间变异强度均为中等,且具有中等的空间自相关性,球状模型拟合变异函数的效果较好;2)在灌域尺度上,解放闸灌域4月底土壤表层发生中度、轻度盐渍化时地下水位临界埋深分别为2.0、2.5m,西南及中东部地下水位埋深小于临界埋深的概率较大,是土壤返盐的高风险区;3)3月底地下水位埋深对土壤返盐的影响比4月底更大一些,这表明地下水位埋深对土壤返盐的影响具有一定滞后效应,只有地下水位埋深小于临界深度的状态维持一段时间,才会造成土壤中度或轻度盐渍化。

关 键 词:土壤  盐渍化  模型  地下水位埋深  空间分布  指示Kriging  解放闸灌域
收稿时间:2018/7/13 0:00:00
修稿时间:2018/11/26 0:00:00

Study on relationship between soil salinization and groundwater table depth based on indicator Kriging
Xu Ying,Ge Zhou,Wang Juan,Li Wei and Feng Shaoyuan.Study on relationship between soil salinization and groundwater table depth based on indicator Kriging[J].Transactions of the Chinese Society of Agricultural Engineering,2019,35(1):123-130.
Authors:Xu Ying  Ge Zhou  Wang Juan  Li Wei and Feng Shaoyuan
Institution:1. School of hydraulic, energy and power engineering, Yangzhou University, Yangzhou 225009, China; 2. Zhenjiang Engineering Survey and Design Institute, Zhenjiang 212003, China,1. School of hydraulic, energy and power engineering, Yangzhou University, Yangzhou 225009, China; 2. Zhenjiang Engineering Survey and Design Institute, Zhenjiang 212003, China,1. School of hydraulic, energy and power engineering, Yangzhou University, Yangzhou 225009, China; 2. Zhenjiang Engineering Survey and Design Institute, Zhenjiang 212003, China,2. Zhenjiang Engineering Survey and Design Institute, Zhenjiang 212003, China and 1. School of hydraulic, energy and power engineering, Yangzhou University, Yangzhou 225009, China; 2. Zhenjiang Engineering Survey and Design Institute, Zhenjiang 212003, China
Abstract:Abstract: Soil salinization is the most important land degradation processes in many arid and semi-arid areas with shallow groundwater table depth. Preventing and controlling soil salinization is an important guarantee of the sustainable development of agricultural and ecological environment. Due to an arid and semi-arid continental climate with low rainfall, high evaporation and shallow groundwater table, the Hetao irrigation district (HID), located along the Yellow River in Inner Mongolia, is a typical secondary salinized area in the north of China. In order to understand the relationship between soil salinization and groundwater table at district scale, the Jiefangzha sub-district, the second largest sub-district in HID, was selected as the study area. A total 53 groundwater observation wells and 41 soil salinity monitoring sites were installed in the sub-district. The depth of groundwater level was measured at the ends of March and April in 2012, and the soil salt content was measured at the depths of 0-0.1, 0.1-0.2, 0.2-0.4, 0.4-0.6 m of soil salinity monitoring sites at the end of April in 2012. The probability maps of the critical groundwater table depth and the soil salinity were generated by the indicator Kriging technique with low salinity threshold (2 g/kg), moderate salinity threshold (3 g/kg), and 4 groundwater table depth thresholds of 1.5, 2.0, 2.5 and 3.0 m. Spatial distributions of the soil salinity probability for each of the thresholds were compared with each of groundwater table depth thresholds, and the relationship between soil salinity and groundwater table depth were evaluated on the basis at the district scale. The results showed as following: 1) Surface soil salinity and groundwater table depth exhibited moderate spatial variability and moderate spatial dependence. The spherical model was the best-fitted model for the indicator semivariograms of soil salt and groundwater depth with different thresholds. 2) The spatial distribution of moderate salinization risk was greatly similar to that of the probability of groundwater depth less than 2.0 m, and the spatial distribution of low salinization risk was greatly similar to that of the probability of groundwater depth less than 2.5 m. Especially, the high salinization risk areas were usually corresponding to that of the high probability areas with groundwater depth less than the critical depth of 2.0 or 2.5 m. Meanwhile, the spatial distribution of the probability of groundwater depth less than 2.0 m was greatly similar to the spatial distributions of soil salinization types based on remote sensing inversion at the end of April in 2001, 2006 and 2012. These indicated that the critical depths of groundwater at the district scale were 2.0 and 2.5 m when the low and moderate salinization occurred on the surface soil in the Jiefangzha sub-district at the end of April, respectively. In the sub-district, the high probability area that the groundwater depth did not exceed the critical values gradually decreased from 2001 to 2012. These soils were mainly located in the area of east central and south west of the sub-district, and were corresponding to the soil of the high salinization risk area. 3) Compared with the probability map of groundwater table depth at the end of April, that at the end of March had higher degree of similarity with the spatial distribution of salinization risk of surface soil, which indicated that there was a certain lag effect of the groundwater table depth on soil salinization, and the low or moderate salinization risk would increase when the groundwater depth was less than the critical depth and maintained for a period of time. These results could be useful for the administrator to control groundwater table depth and prevent soil salinization at the district scale. The article also provides a reference for studying causes and regulation of secondary soil salinization at the district scale.
Keywords:soils  salinization  models  groundwater table depth  spatial distribution  indicator Kriging  Jiefangzha irrigation sub-district
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