Improved estimation of nitrogen dynamics in paddy surface water in China

文献类型： 外文期刊

第一作者： Ruan, Shuhe

作者： Ruan, Shuhe;Zhuang, Yanhua;Zhang, Liang;Li, Sisi;Wen, Weijia;Du, Yun;Ruan, Shuhe;Zhuang, Yanhua;Zhang, Liang;Li, Sisi;Wen, Weijia;Du, Yun;Chen, Jingrui;Zhai, Limei;Liu, Hongbin

作者机构：

关键词： Rice paddy; Nitrogen dynamics; Improved first-order kinetic model; Non-point source (NPS) pollution; Critical period; Loss risk

期刊名称：JOURNAL OF ENVIRONMENTAL MANAGEMENT （ 影响因子：8.91； 五年影响因子：8.549 ）

ISSN： 0301-4797

年卷期： 2022 年 312 卷

页码：

收录情况： SCI

摘要： Paddy surface water is the direct source of artificial drainage and surface runoff leading to N loss from rice paddy fields. Quantifying the N dynamics in paddy surface water on a large scale is challenging because of model deficiencies and the limitations of field measurements. This study analyzed the N dynamics and the influencing factors in paddy surface water in the three main Chinese rice-growing regions: Northeast Plain, Yangtze River Basin, and Southeast Coast. An improved first-order kinetic model was proposed to evaluate the total nitrogen (TN) dynamics at a countrywide scale by improving the calculation method of the initial TN concentration (C-0) and providing the optimum value of attenuation coefficient (k). The results show that: (1) the average reduction rate of TN concentration on the 7th day after fertilization increased with the growth period (85%, 90%, and 95% during the basal, tillering, and panicle fertilization periods, respectively); (2) the attenuation coefficient k for the growth periods was ranked as follows: panicle fertilization period > tillering fertilization period > basal fertilization period. The Yangtze River Basin had the highest average k value (0.31-0.34), followed by the Southeast Coast (0.24-0.41) and Northeast Plain (0.22-0.30); and (3) the improved first-order kinetic model performed well in the N dynamics estimation (R-2 > 0.6). High TN concentration with high fertilizer application amounts and precipitation caused the Yangtze River Basin to have a high N runoff loss risk. The proposed universal model realizes the simulation of N dynamics from a single site to multi-sites while greatly saving multi-site monitoring costs. This study provides a basis for effectively optimizing N management and preventing N loss in rice paddies.

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