Journal article

Improved Jayaweera-Mikkelsen model to quantify ammonia volatilization from rice paddy fields in China

Xiaoying Zhan, Chuan Chen, Qihui Wang, Feng Zhou, Kentaro Hayashi, Xiaotang Ju, Shu Kee Lam, Yonghua Wang, Yali Wu, Jin Fu, Luping Zhang, Shuoshuo Gao, Xikang Hou, Yan Bo, Dan Zhang, Kaiwen Liu, Qixia Wu, Rongrui Su, Jianqiang Zhu, Changliang Yang Show all

Environmental Science and Pollution Research | Springer (part of Springer Nature) | Published : 2019

Abstract

Current estimates of China’s ammonia (NH3) volatilization from paddy rice differ by more than twofold, mainly due to inappropriate application of chamber-based measurements and improper assumptions within process-based models. Here, we improved the Jayaweera-Mikkelsen (JM) model through multiplying the concentration of aqueous NH3 in ponded water by an activity coefficient that was determined based on high-frequency flux observations at Jingzhou station in Central China. We found that the improved JM model could reproduce the dynamics of observed NH3 flux (R2 = 0.83, n = 228, P < 0.001), while the original JM model without the consideration of activity of aqueous NH3 overstated NH3 flux by 5..

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Grants

Awarded by National Key Research and Development Program of China


Awarded by National Natural Science Foundation of China


Awarded by China Postdoctoral Science Foundation


Awarded by Interdisciplinarity Fund of Peak Discipline from Shanghai Municipal Education Commission


Awarded by 111 Project


Funding Acknowledgements

This study was supported by the National Key Research and Development Program of China (2018YFC0213304), the National Natural Science Foundation of China (41671464), the China Postdoctoral Science Foundation (2017M620503), Interdisciplinarity Fund of Peak Discipline from Shanghai Municipal Education Commission (0200121005/053), and the 111 Project (B14001). We appreciated Jianping Wang, Yumin An, Zaizhen Zhang, Jinghong Tan, Gongyou Yu, Sheng Wang, and Bingyu Chen for collecting and analyzing samples and Prof. Bin Yin for designing dynamic chambers.