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Improved estimation of nitrogen dynamics in paddy surface water in China.
Ruan, Shuhe; Zhuang, Yanhua; Zhang, Liang; Li, Sisi; Chen, Jingrui; Wen, Weijia; Zhai, Limei; Liu, Hongbin; Du, Yun.
Afiliación
  • Ruan S; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
  • Zhuang Y; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
  • Zhang L; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
  • Li S; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
  • Chen J; Soil and Fertilizer & Resources and Environment Institute, Jiangxi Academy of Agricultural Sciences, Nanchang, 330200, People's Republic of China.
  • Wen W; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
  • Zhai L; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing, 100081, People's Republic of China.
  • Liu H; Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Beijing, 100081, People's Republic of China.
  • Du Y; Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, People's Republic of China; University of Chinese Academy of Sciences, Beijing, 100049, People's Republ
J Environ Manage ; 312: 114932, 2022 Jun 15.
Article en En | MEDLINE | ID: mdl-35338988
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 (C0) 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 (R2 > 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oryza / Nitrógeno Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Oryza / Nitrógeno Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: J Environ Manage Año: 2022 Tipo del documento: Article