Investigating the spatio-temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS-3D and DNDC models
Investigating the spatio-temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS-3D and DNDC models
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结合HYDRUS-3D和DNDC模型研究茶园山坡硝酸盐淋溶时空变化
DOI：
10.1002/jpln.201900087
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发表时间：
2019-10
影响因子：
2.5
通讯作者：
Liao Kaihua
中科院分区：
文献类型：
--
作者：
Lai Xiaoming;Liu Ya;Zhou Zhiwen;Zhu Qing;Liao Kaihua
硝酸盐氮（-N）淋滤的时空变化是由土壤水文学和生物地球化学驱动的。然而，广泛使用的土壤水文学和生物地球化学模型分别在模拟土壤氮循环和土壤水分运动过程方面存在弱点。 In this study, we proposed an alternative approach by simply combining the HYDRUS‐3D and DNDC models to investigate the spatio‐temporal variations of‐N leaching on a representative tea garden hillslope in Taihu Lake Basin, China.结果表明，HYDRUS-3D 和 DNDC 模型分别很好地模拟了土壤水文和氮循环。基于淋滤方程，结合HYDRUS-3D模拟的土壤水通量和DNDC模拟的土壤氮含量，计算出渗滤液氮浓度，精度较高。模拟年累计氮淋溶通量为71.7 kg N ha−1，该山坡时空变化显着。在区块 24、27、31、34、37 和 40 中观察到氮淋滤热点，累积淋滤通量 > 82.0 kg N ha−1y−1。氮淋失的空间变化主要受土壤质地和土壤水力性质的控制。施用春肥（3月16日）和基肥（10月30日）后观察到氮淋溶的热点时刻。氮淋失的时间变化主要受降水和春季施肥的控制。本研究的方法和结果对于氮素面源流失的风险评估和精准农业管理具有重要意义。
Spatio‐temporal variations of nitrate‐nitrogen (‐N) leaching is driven by both soil hydrology and biogeochemistry. However, the widely used soil hydrology and biogeochemistry models have their weaknesses in simulating soil N cycling and soil water movement processes, respectively. In this study, we proposed an alternative approach by simply combining the HYDRUS‐3D and DNDC models to investigate the spatio‐temporal variations of‐N leaching on a representative tea garden hillslope in Taihu Lake Basin, China. Results showed that the soil hydrology and N cycle were well simulated by HYDRUS‐3D and DNDC models, respectively. Based on the leaching equation, the soil water flux simulated by HYDRUS‐3D and soil‐N content simulated by DNDC were combined to calculate the leachate‐N concentrations with good accuracy. The accumulative‐N leaching flux during the simulation year was 71.7 kg N ha−1, with remarkable spatio‐temporal variations on this hillslope. Hot spots of‐N leaching were observed in blocks 24, 27, 31, 34, 37, and 40 with accumulative leaching fluxes > 82.0 kg N ha−1y−1. The spatial variation of‐N leaching was mainly controlled by soil texture and soil hydraulic properties. Hot moments of‐N leaching were observed after the applications of spring fertilizer (16 March) and basal fertilizer (30 October). The temporal variation of‐N leaching was mainly controlled by precipitation and the spring fertilization. Methods and findings of this study will be benefit for the risk assessment of non‐point source N loss and the precise agricultural management.
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跨空间尺度耦合土壤水过程和氮循环：潜力、瓶颈和解决方案
影响因子：
12.1
作者：
Qing Zhu;Michael J. Castellano;Guishan Yang
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作者：
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影响因子：
3.6
作者：
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C. Mekala;I. Nambi
影响因子：
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作者：
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通讯作者：
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DOI：
10.1016/j.agee.2012.04.024
发表时间：
2012-08
期刊：
Agriculture, Ecosystems & Environment
影响因子：
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作者：
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通讯作者：
Xu Zhao;Yangxue Zhou;J. Min;Shenqiang Wang;W. Shi;G. Xing