Surface nitrous oxide concentrations and fluxes from water bodies of the agricultural watershed in Eastern China

环境科学 一氧化二氮 分水岭 温室气体 地表水 水文学(农业) 农业 生长季节 降水 大气科学 农学 环境工程 生态学 地理 计算机科学 生物 机器学习 地质学 工程类 气象学 岩土工程
作者
Qitao Xiao,Zhenghua Hu,Qing Zhu,Hang Bian,Xuhui Lee,Shutao Chen,Dongyao Shang
出处
期刊:Environmental Pollution [Elsevier BV]
卷期号:251: 185-192 被引量:25
标识
DOI:10.1016/j.envpol.2019.04.076
摘要

Agriculture is one of major emission sources of nitrous oxide (N2O), an important greenhouse gas dominating stratospheric ozone destruction. However, indirect N2O emissions from agriculture watershed water surfaces are poorly understood. Here, surface-dissolved N2O concentration in water bodies of the agricultural watershed in Eastern China, one of the most intensive agricultural regions, was measured over a two-year period. Results showed that the dissolved N2O concentrations varied in samples taken from different water types, and the annual mean N2O concentrations for rivers, ponds, reservoir, and ditches were 30 ± 18, 19 ± 7, 16 ± 5 and 58 ± 69 nmol L-1, respectively. The N2O concentrations can be best predicted by the NO3--N concentrations in rivers and by the NH4+-N concentrations in ponds. Heavy precipitation induced hot moments of riverine N2O emissions were observed during farming season. Upstream waters are hot spots, in which the N2O production rates were two times greater than in non-hotspot locations. The modeled watershed indirect N2O emission rates were comparable to direct emission from fertilized soil. A rough estimate suggests that indirect N2O emissions yield approximately 4% of the total N2O emissions yield from N-fertilizer at the watershed scale. Separate emission factors (EF) established for rivers, ponds, and reservoir were 0.0013, 0.0020, and 0.0012, respectively, indicating that the IPCC (Inter-governmental Panel on Climate Change) default value of 0.0025 may overestimate the indirect N2O emission from surface water in eastern China. EF was inversely correlated with N loading, highlighting the potential constraints in the IPCC methodology for water with a high anthropogenic N input.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wcli完成签到,获得积分10
1秒前
Juvianne完成签到 ,获得积分10
8秒前
一条小胖鱼完成签到,获得积分10
14秒前
量子星尘发布了新的文献求助10
14秒前
太渊发布了新的文献求助10
15秒前
Fe_Al_Po完成签到,获得积分0
17秒前
gin完成签到,获得积分10
17秒前
章泉完成签到 ,获得积分10
20秒前
22秒前
若曦完成签到,获得积分10
22秒前
NexusExplorer应助懵懂的甜瓜采纳,获得10
22秒前
Sofia完成签到 ,获得积分0
23秒前
cjh关闭了cjh文献求助
23秒前
23秒前
Bi完成签到,获得积分10
24秒前
郝宇完成签到,获得积分10
25秒前
26秒前
王wang完成签到,获得积分10
27秒前
Jasper应助陶醉的熊采纳,获得10
28秒前
重要手机完成签到 ,获得积分10
30秒前
归尘发布了新的文献求助10
31秒前
32秒前
一介草民完成签到,获得积分10
33秒前
无聊的玉米完成签到,获得积分10
34秒前
康康完成签到 ,获得积分10
35秒前
寒冷的机器猫完成签到,获得积分10
35秒前
strawberry完成签到,获得积分10
35秒前
37秒前
37秒前
37秒前
shl发布了新的文献求助10
38秒前
Lucky完成签到 ,获得积分10
39秒前
40秒前
量子星尘发布了新的文献求助10
40秒前
42秒前
Mstone发布了新的文献求助10
42秒前
快来拾糖完成签到,获得积分10
47秒前
沛林完成签到,获得积分10
49秒前
昏睡的白桃完成签到,获得积分10
57秒前
霸气的小土豆完成签到 ,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6080968
求助须知:如何正确求助?哪些是违规求助? 7911556
关于积分的说明 16361629
捐赠科研通 5216713
什么是DOI,文献DOI怎么找? 2789275
邀请新用户注册赠送积分活动 1772187
关于科研通互助平台的介绍 1648934