Characteristics of ammonia volatilization on rice grown under different nitrogen application rates and its quantitative predictions in Erhai Lake Watershed, China
文献类型: 外文期刊
作者: Chen, Anqiang 1 ; Lei, Baokun 1 ; Hu, Wanli 1 ; Lu, Yao 1 ; Mao, Yanting 1 ; Duan, Zongyan 1 ; Shi, Zesheng 3 ;
作者机构: 1.Yunnan Acad Agr Sci, Inst Agr Environm & Resources, Kunming 650205, Yunnan, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Nonpoint Source Pollut Control, Minist Agr, Beijing 100081, Peoples R China
3.Yunnan Agr Univ, Coll Resources & Environm, Kunming 650205, Peoples R China
关键词: Ammonia volatilization;Urea nitrogen;Paddy field;NH4+-N concentration of surface water;pH of surface water;Erhai Lake Watershed
期刊名称:NUTRIENT CYCLING IN AGROECOSYSTEMS ( 影响因子:3.27; 五年影响因子:3.767 )
ISSN:
年卷期:
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收录情况: SCI
摘要: Ammonia (NH3) volatilization was measured with the continuous airflow enclosure chamber method under different urea application amounts using pots in paddy fields in Erhai Lake Watershed, China. Several factors, such as the urea nitrogen application amount, days after fertilization, NH4 (+)-N concentration and pH of surface water, and climate, that could affect ammonia volatilization were also studied. The results indicated that ammonia volatilization loss increased linearly with increasing amounts of applied urea. The ratios of the ammonia volatilization loss to the applied nitrogen ranged from 16.59 to 18.43 % with different nitrogen application amounts. The ammonia volatilization loss peaked within the first 3 days after fertilization, which accounted for 65-82 % of the total ammonia loss in each period. We observed the following degree of the effects of various factors on ammonia volatilization: NH4 (+)-N concentration of surface water > urea application amount > pH of surface water > days after fertilization > water temperature of surface water. The wind velocity and rainfall were the key factors affecting ammonia volatilization. The model of ammonia volatilization flux was established by using the measured dates from 2013 and was represented as Y = 0.008(x(1) + x(2) + x(3)) + e(0.056x4-0.068x5)-0.623 (R (2) = 0.81, P < 0.0001). The model was verified by using the measured dates from 2012. The calculated values fitted well with the field observations. However, the model parameters need to be amended using the model to predict the ammonia volatilization flux in the rice season from other regions.
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