中文关键词大气活性氮氮沉降湿沉降混合沉降农田生态系统森林生态系统 英文关键词atmospheric reactive NN depositionwet-only depositionbulk depositionagro-ecosystemforest ecosystem

作者	单位	E-mail
朱潇	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125 中国科学院大学, 北京 100049	2455232525@qq.com
王杰飞	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125 中国科学院大学, 北京 100049
沈健林	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125	jlshen@isa.ac.cn
肖润林	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125
王娟	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125
吴金水	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125
李勇	中国科学院亚热带农业生态研究所, 亚热带农业生态过程重点实验室, 长沙 410125 中国科学院长沙农业环境观测研究站, 长沙 410125

中文摘要 本研究在位于我国亚热带区域的湖南省长沙县金井河流域，设置一个农田监测点和一个林地监测点，开展了完整的2 a（2011年3月至2013年2月）大气氮素（N）湿沉降和混合沉降（湿沉降+部分干沉降）的监测，评价两种方法监测的大气氮素沉降的差别，并建立一种采用氮素混合沉降来估算氮素湿沉降的方法.结果表明采样点氮素湿沉降和混合沉降以NH₄⁺-N沉降量最高，其中农田点大气氮湿沉降、混合沉降量分别为26.2 kg·（hm²·a）^-1、28.9 kg·（hm²·a）^-1，湿沉降、混合沉降NH₄⁺-N、NO₃^--N和可溶性有机氮（DON）分别占湿沉降、混合沉降总氮（TN）的49.7%、31.3%、19.0%和48.7%、31.6%、19.7%.林地点大气氮湿沉降、混合沉降量分别为23.6 kg·（hm²·a）^-1、27.8 kg·（hm²·a）^-1，湿沉降、混合沉降NH₄⁺-N、NO₃^--N和DON分别占湿沉降、混合沉降TN的53.9%、34.8%、11.4%和49.6%、31.6%、18.9%.研究区域降雨量与湿沉降、混合沉降雨水中NH₄⁺-N、NO₃^--N和TN浓度均有极显著负相关关系，而与沉降量有显著正相关性.两监测点湿沉降与混合沉降的雨水中N素浓度具有极显著线性相关性（决定系数大于0.82），根据二者之间建立的回归方程，农田点采用混合沉降估算湿沉降中NH₄⁺-N、NO₃^--N和TN沉降的系数值分别为0.875、0.774和0.852；林地点相应的系数值分别为0.859、0.783和0.819，该系数值主要与监测点的氮素湿沉降量及大气颗粒态氮的污染水平有关.亚热带区域采用大气氮素混合沉降替代氮素湿沉降，将导致氮素湿沉降被高估10%~18%，利用氮素混合沉降和氮素湿沉降之间的回归方程，可以较好实现采用混合沉降来估算湿沉降. 英文摘要 Atmospheric emissions of reactive nitrogen (N) species are at high levels and have caused high N deposition in China in recent years. In this study, atmospheric wet-only and bulk N depositions were monitored simultaneously in a two-year study at an agricultural site (HN) and a forest site (XS) in the Jinjing River catchment in Changsha County, Hunan Province in subtropical China. The differences in concentration and deposition of NH₄⁺-N, NO₃^--N, DON, and TN between wet-only and bulk N depositions were compared, and the correlation between wet-only and bulk N depositions was analyzed, with the aim of estimating atmospheric wet N deposition based on bulk N deposition. During the monitoring period, NH₄⁺-N was the dominant species in both wet-only and bulk deposition at the sampling sites. The average values of total N (TN) depositions for wet-only and bulk depositions at HN were 26.2 and 28.9 kg·(hm²·a)^-1, respectively. The proportions of NH₄⁺-N, NO₃^--N, and DON in TN in wet-only deposition were 49.7%, 31.3%, and 19.0%, respectively, while the proportions in the bulk deposition were 48.7%, 31.6%, and 19.7%, respectively. The average values of TN depositions for wet-only and bulk depositions at XS were 23.6 and 27.8 kg·(hm²·a)^-1, respectively. The proportions of NH₄⁺-N, NO₃^--N, and DON in TN in wet-only deposition were 53.9%, 34.78%, and 11.4%, respectively, while they were 49.6%, 31.6%, and 18.9%, respectively, for bulk deposition. The concentrations of N species in wet-only and bulk depositions were significantly and negatively correlated with precipitation, while the amount of N deposition was significantly and positively correlated with precipitation. The concentrations of N species in wet-only deposition had a significant linear correlation with those in the bulk deposition at the two sites (R²>0.82). According to the regression equation for wet-only and bulk N deposition at the monitoring sites, the proportions of NH₄⁺-N, NO₃^--N, and TN in wet-only to bulk deposition were 0.875, 0.774, and 0.852, respectively, at HN and 0.859, 0.783, and 0.819, respectively, at XS. These values were mainly related to the amount of wet-only N deposition and the pollution level of atmospheric particulate N species at the monitoring sites. In the subtropical region of China, atmospheric wet N deposition can be overestimated by 10% to 18% when the atmospheric bulk N deposition is used to replace the wet N deposition. Based on the regression equation between atmospheric bulk N deposition and wet N deposition, the atmospheric wet N deposition can be estimated well using the atmospheric bulk N deposition data.

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