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Simulating in situ ammonia volatilization losses in the North China Plain using a dynamic soil-crop model

文献类型: 外文期刊

作者: Michalczyk, Anna 1 ; Kersebaum, Kurt Christian 1 ; Heimann, Lisa 2 ; Roelcke, Marco 2 ; Sun, Qin-Ping 4 ; Chen, Xin 1 ;

作者机构: 1.Leibniz Ctr Agr Landscape Res, Inst Landscape Syst Anal, Eberswalder Str 84, D-15374 Muncheberg, Germany

2.Tech Univ Carolo Wilhelmina Braunschweig, Inst Geoecol, Langer Kamp 19C, D-38106 Braunschweig, Germany

3.German Chinese Agr Ctr DCZ, 55 Nongzhan Beilu, Beijing 100125, Peoples R China

4.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr & Resources, Beijing 100097, Peoples R China

5.China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China

关键词: NH3 volatilization;simulation;nitrogen;fertilization;management

期刊名称:JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE ( 影响因子:2.426; 五年影响因子:3.029 )

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年卷期:

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收录情况: SCI

摘要: Ammonia (NH3) volatilization is an important N loss pathway in intensive agriculture of the North China Plain (NCP). Simulation models can help to assess complex N and water processes of agricultural soil-crop systems. Four variations (Var) of a sub-module for the deterministic, process-based HERMES model were implemented ranging from simple empirical functions (Var 3 and 4) to process-oriented approaches (Var 1 and 2) including the main processes of NH3 volatilization, urea hydrolysis, nitrification from ammonium-based N fertilizer, and changes in soil solution pH. Ammonia volatilization, plant growth, and changes in ammonium and nitrate pools in the soil over several winter wheat-summer maize double-crop rotations at three locations in the NCP were simulated. Results were calibrated with two data sets (Dongbeiwang 1, Shunyi) and validated using two data sets (Dongbeiwang 2, Quzhou). They showed that the ammonia volatilization sub-module of the HERMES model worked well under the climatic and soil conditions of N China. Although the simpler equations, Var 3 and 4, showed lower deviations to observed volatilization across all sites and treatments with a mean absolute error (MAE) of 1.8 and 1.4 in % of applied N, respectively, compared to process-oriented approaches, Var 1 and 2, with a MAE of 2.2 and 1.9 in % of applied N, respectively. Environmental conditions were reflected better by the process-oriented approaches. Generally, simulation results were satisfying but simulated changes in topsoil pH need further verification with measurements.

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