Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models,Journal of Plant Nutrition and Soil Science

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Investigating the spatio‐temporal variations of nitrate leaching on a tea garden hillslope by combining HYDRUS‐3D and DNDC models
Journal of Plant Nutrition and Soil Science ( IF 2.6 ) Pub Date : 2019-10-29 , DOI: 10.1002/jpln.201900087
Xiaoming Lai _{1,

2} , Ya Liu _{1,

2} , Zhiwen Zhou _{1,

2} , Qing Zhu _{1,

2} , Kaihua Liao _{1,

2}

Affiliation

Spatio‐temporal variations of nitrate‐nitrogen (

{NO}_{3}^{-}

‐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

{NO}_{3}^{-}

‐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

{NO}_{3}^{-}

‐N content simulated by DNDC were combined to calculate the leachate

{NO}_{3}^{-}

‐N concentrations with good accuracy. The accumulative

{NO}_{3}^{-}

‐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

{NO}_{3}^{-}

‐N leaching were observed in blocks 24, 27, 31, 34, 37, and 40 with accumulative leaching fluxes > 82.0 kg N ha⁻¹ y⁻¹. The spatial variation of

{NO}_{3}^{-}

‐N leaching was mainly controlled by soil texture and soil hydraulic properties. Hot moments of

{NO}_{3}^{-}

‐N leaching were observed after the applications of spring fertilizer (16 March) and basal fertilizer (30 October). The temporal variation of

{NO}_{3}^{-}

‐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.

更新日期：2019-10-29

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