Journal of Contaminant Hydrology ( IF 3.6 ) Pub Date : 2021-07-25 , DOI: 10.1016/j.jconhyd.2021.103860 Ping Yan 1 , Kairong Lin 2 , Yiren Wang 1 , Ye Zheng 3 , Xin Gao 1 , Xinjun Tu 1 , Chunmei Bai 1
Soil moisture is an important indicator for monitoring land degradation and plays an important role in soil biogeochemistry. Mapping the spatial distribution of soil moisture provides fundamental information for soil management and agricultural production. In this study, 225 sampling points in the study area, Nanxiong basin, were investigated to map the spatial distribution of soil moisture in the typical ecological degradation red beds area. Four interpolation methods including inverse distance weighting (IDW), ordinary kriging (OK), radial basis function (RBF) and empirical bayesian kriging (EBF) were used to estimate the continuous soil moisture distribution. The results showed that the soil moisture of the study area ranged from 8.12% to 32.82% with an average of 18.42% and a median of 18.20%. The annual average temperature and soil bulk density had significantly negative correlations with soil moisture, of-0.53 and − 0.31, respectively. The regional soil moisture had a moderate variation with the variation coefficient of 21.66% and strong spatial dependence with the nugget-to-sill ratios of 32.23%. The IDW method obtained a more accurate estimation on the spatial variability of soil moisture in the Nanxiong basin. The spatial distribution of soil moisture in the study area was drawn by different interpolation methods. The results show that the red bed degradation in the eastern part of the Nanxiong basin is more severe than in other areas, in which the geomorphic characteristics of red bed desert have appeared with the lowest soil moisture in this study. In addition, the spatial heterogeneity of soil moisture is also pertinent to human disturbance and land use. The results of spatial soil moisture distribution are of great significance for monitoring land degradation and agricultural drought in the red bed area.
中文翻译:
南雄盆地红层土壤水分空间插值
土壤水分是监测土地退化的重要指标,在土壤生物地球化学中具有重要作用. 绘制土壤水分的空间分布图为土壤管理和农业生产提供了基本信息。本研究对南雄盆地研究区的225个采样点进行了调查,绘制了典型生态退化红层区土壤水分的空间分布图。采用逆距离加权(IDW)、普通克里金法(OK)、径向基函数(RBF)和经验贝叶斯克里金法(EBF)四种插值方法估计连续土壤水分分布。结果表明,研究区土壤水分为8.12%~32.82%,平均为18.42%,中值为18.20%。年平均温度和土壤容重与土壤水分呈显着负相关,分别为-0.53 和-0.31。区域土壤水分变化中等,变异系数为21.66%,空间依赖性强,块基比为32.23%。IDW方法对南雄流域土壤水分的空间变异性得到了更准确的估计。采用不同的插值方法绘制了研究区土壤水分的空间分布。结果表明,南雄盆地东部红层退化较其他地区更为严重,地貌特征为 采用不同的插值方法绘制了研究区土壤水分的空间分布。结果表明,南雄盆地东部红层退化较其他地区更为严重,其地貌特征为 采用不同的插值方法绘制了研究区土壤水分的空间分布。结果表明,南雄盆地东部红层退化较其他地区更为严重,其地貌特征为本研究中出现了土壤水分最低的红床沙漠。此外,土壤水分的空间异质性也与人类干扰和土地利用有关。土壤水分空间分布结果对红床区土地退化和农业干旱监测具有重要意义。