Temporal stability analysis for estimating spatial mean soil water storage and deep percolation in irrigated maize crops
Temporal stability analysis for estimating spatial mean soil water storage and deep percolation in irrigated maize crops
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用于估算灌溉玉米作物空间平均土壤储水量和深层渗透的时间稳定性分析
DOI：
10.1016/j.agwat.2014.05.012
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发表时间：
2014-10
影响因子：
6.7
通讯作者：
Shao, Ming'an
中科院分区：
文献类型：
--
作者：
Li, Danfeng;Shao, Ming'an
灌溉农田土壤水分的时间稳定性可能对干旱地区的精准农业有深远的影响。本研究评价了中国西北地区灌溉农田土壤水分平衡各组成部分的时间变化，并确定了代表性位置，以可靠地估计空间平均土壤水储量（SWS）和2 m深度以下的深层渗漏剖面（0-1 m和1-2 m）。2011年和2012年，在48个地点（北方和南方农田分别有31个和17个）用中子探针测定了土壤储水量，共18次。分析了玉米生长季作物蒸散量、土壤水分变化和深层渗漏。北方和南方农田的土壤贮水量在时间上是稳定的。相对差标准差最小的位置可以准确地估计空间平均SWS，具有较高的决定系数（R2> 0.91，P < 0.001）和预测精度（PE > 0.76）以及接近零的平均绝对相对误差（MARE = 0）。0-1 m和1-2 m土层的最具代表性的位置不同，但0-1 m土层的位置也可普遍代表北方和南方农田1-2 m土层中的SWS。从5月21日至9月下旬，在这两年中，约39%和22%的灌溉和雨水损失的深层渗滤在北方和南部农田，分别。0-1 m层空间平均SWS最具代表性位置处的深层渗流通常可以估计2 m深度以下的空间平均深层渗流。这项研究提供了一种替代方法来估计空间平均SWS和深层渗流，这是必不可少的，在中国西北大干旱地区的灌溉水资源的合理管理。
The temporal stability of soil moisture in irrigated cropland may have profound implications for precision agriculture in arid regions. This study evaluated the temporal variation of components of the soil water balance in irrigated cropland in northwestern China and identified representative locations to reliably estimate the profiles (0–1 and 1–2 m) of spatial mean soil water storage (SWS) and deep percolation below a depth of 2 m. Soil water storages were determined with a neutron probe at 48 locations (31 and 17 in the northern and southern croplands, respectively) on a total of 18 occasions in 2011 and 2012. Crop evapotranspiration, SWS variations and deep percolation were analyzed during the maize growing seasons. Soil water storages in the northern and southern croplands were temporally stable. The location with the lowest standard deviation of relative differences could accurately estimate the spatial mean SWS with a high coefficient of determination (R2> 0.91,P< 0.001) and prediction accuracy (PE > 0.76) and near-zero mean absolute relative error (MARE = 0). The most representative locations were different for the 0–1 and 1–2 m soil layers, but the location for the 0–1 m layer could also generally represent SWS in the 1–2 m layer in the northern and southern croplands. From 21 May to late September in both years, approximately 39 and 22% of the irrigation and rainwater were lost as deep percolation in the northern and southern croplands, respectively. Deep percolation at the most representative locations of spatial mean SWS for the 0–1 m layers could generally estimate the spatial mean deep percolation below a depth of 2 m. This study provides an alternative approach for estimating spatial mean SWS and deep percolation, which is essential for the rational management of scarce resources of irrigation water in a large arid region of northwestern China.
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