Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping-A Case Study in Cold and Semiarid Irrigated Fields
Identifying Seasonal Accumulation of Soil Salinity with Three-Dimensional Mapping-A Case Study in Cold and Semiarid Irrigated Fields
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DOI：
10.3390/su12166645
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发表时间：
2020-08-01
期刊：
影响因子：
3.9
通讯作者：
Zhang, Zhiping
中科院分区：
文献类型：
--
作者：
Liu, Qianqian;Hanati, Gulimire;Zhang, Zhiping
在干旱半干旱灌区，土壤盐分是土壤性质的一个活跃而复杂的组成部分，制约着农业生产的可持续性。了解土壤盐分的季节分布和迁移对农业管理很重要。本研究采用三维地统计学方法构建了土壤盐分的季节性三维空间分布图，并采用定量分析方法研究了寒半干旱灌溉稻田0 ~ 150 cm土壤盐分的季节性积累规律。结果表明，2015年秋季、2016年春季、2016年秋季和2017年春季土壤盐分的空间分布和迁移模式存在差异。土壤盐分迁移呈秋季向春季分散的趋势，非盐碱地面积增加。而非盐碱地面积从春季到秋季呈累积趋势，且呈减少趋势。研究区约有10-20%的区域在不同季节经历了不同土壤盐分水平的过渡性变化。相关系数显示，不同季节5个深度增量（30 cm）之间存在显著的正相关关系，且相邻层的土壤盐分相关性高于非相邻层。表层土壤（0 ~ 30 cm） EC(e)值较高，深层土壤（120 ~ 150 cm） EC(e)值较高，说明土壤可溶性盐因蒸发作用在表层积累，因淋滤和排水作用在表层积累。微地形是影响不同季节土壤盐分空间分布的主要因素。在沟壑或排水较差的地区，EC(e)值一般较高，而在地势较高的斜坡或排水良好的地区，EC(e)值则较低。研究结果为研究灌区土壤季节盐分变化提供了理论依据和参考。
Soil salinity is an active and complex part of soil property in arid and semiarid irrigation areas that restricts the sustainability of agriculture production. Knowledge of seasonal distributions and migration of soil salinity is important for the management of agriculture. In this study, three-dimensional (3-D) geostatistical methods were used to construct seasonal 3-D spatial distribution maps of soil salinity, and then the quantitative analysis methods were used to study the seasonal accumulation patterns of soil salinity for the 0-150 cm soil depth in cold and semiarid irrigated rice fields. The results revealed that there were different spatial distribution and migration patterns of soil salinity in autumn 2015, spring 2016, autumn 2016, and spring 2017. The migration of soil salinity had a dispersion trend from autumn to spring, and the area of non-saline soil increased. Whereas there was an accumulation trend from spring to autumn, and the area of non-saline soil decreased. There were about 10-20% of the study area had experienced transitional changes of different soil salinity levels in different seasons. The correlation coefficient showed that there were significant positive correlations among the five depth increments (30 cm) in different seasons, and the correlations of soil salinity were higher in adjacent layers than in nonadjacent layers. The EC(e)values were higher in the topsoil (0-30 cm) and deeper subsoil (120-150 cm), indicating that soil soluble salts accumulated in the soil surface due to evaporation and accumulated in the bottom due to leaching and drainage. Microtopography was the major factor influencing spatial distribution of soil salinity in different seasons. The EC(e)values were generally higher in the swales or in areas with rather poor drainage, whereas the values were lower in relatively higher-lying slopes or that were well-drained. The results provide theoretical basis and reference for studying the variation of seasonal soil salinity in irrigated fields.