Vertical and horizontal distribution of soil parameters in intensive agricultural zone and effect on diffuse nitrogen pollution
Vertical and horizontal distribution of soil parameters in intensive agricultural zone and effect on diffuse nitrogen pollution
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集约化农业区土壤参数纵横向分布及其对氮素扩散污染的影响
DOI：
10.1016/j.still.2014.07.006
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发表时间：
2014-12
影响因子：
6.5
通讯作者：
Hao Fanghua
中科院分区：
文献类型：
--
作者：
Huang Haobo;Ouyang Wei;Guo Bobo;Shi Y;an;Hao Fanghua
了解次流域尺度上农业扩散污染与土壤特性的空间关系是描述污染产量的一种创新方法。本研究的目的是确定土壤参数与空间垂直方向扩散氮（N）负荷的相互作用，为评估扩散氮污染提供一种可选方法。使用土壤和水评估工具模拟了子流域的扩散氮负荷，并考虑了土地利用（旱地和水稻）。通过在多个子流域的两个深度采用 1.5 公里网格土壤采样过程，根据八个参数分析土壤特性。对每个子流域的空间土壤特性进行插值。总氮（TN）、铁（Fe）、锰（Mn）和镉（Cd）在两个土壤深度的空间分布表现出相同的格局，但速效氮（AN）、土壤有机碳（SOC）、硫（S）和铅（Pb）的垂直格局有所不同。叠加扩散氮负荷和土地利用分布，发现旱地和水稻子流域是主要贡献者。旱地次流域的扩散氮排放量比水稻低50%左右。土壤变量与扩散氮的相关性分析表明，表层与扩散氮的相关性强于地下，对污染的影响更为直接。采用偏最小二乘（PLS）回归分析来确定表层的关键土壤变量。分析表明，金属参数（Fe、Mn、Cd 和 Pb）是扩散氮负载的重要因素。然而，水稻中的总氮是主要的预测因子。利用土壤属性信息，可以以简化的方式评估两类农田的扩散氮产量。本文提出的方法灵活高效，与SWAT模型的结果兼容。
Understanding the spatial relationships of diffuse agricultural pollution with soil properties at a sub-basin scale is an innovative way to characterize the pollution yield. The objectives of this study was to identify the interaction of soil parameters with diffuse nitrogen (N) loading at spatial-vertical directions, which provide an optional method to assess the diffuse N pollution. The diffuse N loading of a sub-basin was simulated with the Soil and Water Assessment Tool with the consideration of land use (upland and paddy rice). Soil properties were analyzed in terms of eight parameters by employing a 1.5 km-grid soil sampling process at two depths across multiple sub-basins. The spatial soil properties were interpolated for each sub-basin. The spatial distributions of total nitrogen (TN), iron (Fe), manganese (Mn), and cadmium (Cd) exhibited the same pattern at two soil depths, but the vertical patterns of available nitrogen (AN), soil organic carbon (SOC), sulfur (S) and lead (Pb) varied. Overlaying the diffuse N loading and land use distribution, it was found that the sub-basins of upland and paddy rice were primary contributors. The diffuse N discharged from upland sub-basins was about 50% lower than that from paddy rice. The correlation analysis of soil variables with diffuse N indicated that the top layer had a stronger relationship with the diffuse N than the subsurface, which had more direct impact on the pollution. A partial least squares (PLS) regression analysis was employed to identify the key soil variables in surface layer. The analysis indicated that the metal parameters (Fe, Mn, Cd, and Pb) were the important factors for diffuse N loading. However, the TN in the paddy rice was the principal predictor. With the soil property information, the diffuse N yield from the two types of farmlands can be assessed in a simplified way. The developed method in this paper is flexible and efficient, which also is compatible with results of the SWAT model.
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影响因子：
3.7
作者：
Kersebaum, KC;Steidl, J;Piorr, HP
通讯作者：
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影响因子：
2.9
作者：
J. Cliff;P. Bottomley;R. Haggerty;D. Myrold
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影响因子：
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作者：
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通讯作者：
V. Prasad;K. Badarinath;S. Yonemura;Haruo Tsuruta
影响因子：
6.4
作者：
I. Khadam;J. Kaluarachchi
通讯作者：
I. Khadam;J. Kaluarachchi