贵州省六冲关流域大气沉降和地表水化学特征

对比贵州六冲关森林小流域1992─1994年和2001─2005年2个时期穿透水沉降(TF)和地表水的化学组成,以分析大气沉降对森林小流域生物地球化学过程的影响. 结果表明:2001─2004年硫沉降量较1992─1994年有显著下降,但自2005年起硫沉降量又显著增加. 六冲关流域无机氮(尤其是NH₄+-N)沉降量较历史时期显著增加,说明贵阳市大气污染正在由硫酸型向硫酸-硝酸混合型过渡. 长期的大气沉降导致地表水中SO₄2-和NO₃-等阴离子质量浓度的增加,加剧了Ca,Mg和K等营养元素的流失,使地表水的酸中和能力在2002年为负值. 长期观测发现,地表水酸中和能力与穿透水中Ca和Mg的沉降通量密切相关,说明大气沉降已经对六冲关流域的相关生物地球化学过程造成了潜在的影响.      

辽宁省背景地区降水化学特征及其与大气传输的关系

为了解辽宁省背景地区降水化学特征及其与大气传输的关系,于2007年2月─2008年1月在辽中县水文监测站进行了降水化学特征观测,测量项目包括降水pH,电导率和离子浓度. 观测期间降水pH为3.4～7.3,降水量加权平均值为4.6,整体呈酸性. 降水中主要阴离子为SO₄2-和NO₃-,浓度分别为154.3和53.4 μeq/L,二者占阴离子总量的76.8%; 主要阳离子为NH₄+和Ca2+,浓度分别为124.6和89.2 μeq/L,占阳离子总量的70.6%. 利用后向气流轨迹分析了降水气团来源对降水化学的影响,结果表明:在辽宁省及周边地区的局地气团影响下,降水中离子浓度最高;而在起源于东亚地区,经朝鲜半岛到达的南-东南气团影响下,降水次数虽最多,但离子浓度最低.      

中国大气颗粒物中金属元素环境地球化学行为研究

大气颗粒物金属污染已成为目前大气污染的研究热点之一。文章梳理、分析归纳了中国近年来大气颗粒中金属元素的环境地球化学方面的研究。目前研究较多的是Fe、Ca、Mg、Si等地壳元素和Cu、Pb、Cd、Zn、Hg等污染元素;大气颗粒物中对人体有害的Cu、Pb、Cd、As、Zn等污染较严重,而Cr、Mn、Co、Ni等污染较轻。大气颗粒物中金属含量随时间分布变化显著,总体上呈现冬季〉秋季〉春季〉夏季的特点,空间分布上一般北方燃煤城市大于南方一般城市;城市内部一般工业区〉交通区〉居民区〉郊区;金属元素在细粒径颗粒（〈2μm）中高,粗颗粒（〉2μm）中低,尤其以污染元素明显。污染元素与地壳元素的垂直分布规律差异较大。大气颗粒物中金属元素的富集程度与元素种类、区域类型、季节变化、粒径大小等有关。最后,提出应加强大气颗粒物中金属元素空间分布差异、时间分布的尺度及差异性研究;同时加强超细颗粒物的研究,以便建立大气颗粒物金属元素与人类健康关系的风险模型。     

大气环境下风电塔筒金属材料的应力腐蚀

塔筒金属材料在大气中的应力腐蚀会导致脆性断裂,从而对产生严重的后果。本文重点论述了应力腐蚀的几种腐蚀机理以及Cl-对应力腐蚀的影响,并介绍了应用较广的慢应力速率试验方法。     

大气环境因素与腐蚀速率的模糊聚类分析

本文针对我国8个典型大气环境试验站的环境因素数据与基础金属腐蚀数据。采用模糊聚类方法对15项环境因素进行分类,探讨各项环境因素之间的相关性。分析结果表明：有4项环境因素对基础金属腐蚀等级的影响性较高。     

不同行业减排对我国东部地区空气质量及大气温度的影响

未来我国减排政策更加关注对大气污染和大气增温的协同控制效果,但不同行业减排对空气质量改善和大气温度的影响不同.利用双向耦合的空气质量模型WRF-Chem,通过多组敏感性试验量化各部门人为源（工业源、居民源、交通源、火电厂和农业源）减排对2016年9月我国东部地区空气质量和大气温度的影响.结果表明,工业源、居民源、交通源、火电厂和农业源减排均能有效改善空气质量,PM_2.5浓度分别下降33.9%、9.6%、15.8%、10.8%和26.7%,但减弱的气溶胶-辐射相互作用使地表层获得更多能量,进而增加近地面气温0.04、0.03、0.01、0.03和0.09℃.在大气层顶,工业源、居民源、交通源和火电厂减排分别导致净辐射通量下降0.3、0.8、0.7和0.1 W·m^-2;而农业源减排则引起大气层顶净辐射通量增加0.8 W·m^-2.一方面,减排农业源导致散射性气溶胶下降进而引起净辐射增加;另一方面,减排农业源不会导致吸收性气溶胶（黑碳）下降,不能抵消散射性气溶胶下降引起的辐射增加.因此,减排农业源会导致大气层顶净辐射通量增加,同时近地面温度增加也最为显著.未来需要特别关注的是,尽管控制农业源排放会带来显著的空气质量改善,但同时会带来不利的显著增温后果.     

Monitoring the effect of restoration measures in Indonesian peatlands by radar satellite imagery

In the context of the ongoing climate change discussions the importance of peatlands as carbon stores is increasingly recognised in the public. Drainage, deforestation and peat fires are the main reasons for the release of huge amounts of carbon from peatlands. Successful restoration of degraded tropical peatlands is of high interest due to their huge carbon store and sequestration potential. The blocking of drainage canals by dam building has become one of the most important measures to restore the hydrology and the ecological function of the peat domes. This study investigates the capability of using multitemporal radar remote sensing imagery for monitoring the hydrological effects of these measures. The study area is the former Mega Rice Project area in Central Kalimantan, Indonesia, where peat drainage and forest degradation is especially intense. Restoration measures started in July 2004 by building 30 large dams until June 2008. We applied change detection analysis with more than 80 ENVISAT ASAR and ALOS PALSAR images, acquired between 2004 and 2009. Radar signal increases of up to 1.36 dB show that high frequency multitemporal radar satellite imagery can be used to detect an increase in peat soil moisture after dam construction, especially in deforested areas with a high density of dams. Furthermore, a strong correlation between cross-polarised radar backscatter coefficients and groundwater levels above -50 cm was found. Monitoring peatland rewetting and quantifying groundwater level variations is important information for vegetation re-establishment, fire hazard warning and making carbon emission mitigation tradable under the voluntary carbon market or REDD (Reducing Emissions from Deforestation and Degradation) mechanism.     

基于GA优化算法的平遥县大气环境质量评价研究

本文以平遥县城及周边区域环境空气质量监测结果为依据,采用具有全局优化的遗传算法（GA）对平遥县及周边区域大气环境质量污染现状进行评价。用大气污染危害指数的普适公式和参数优化后的污染危害指数公式确定污染危害指数的取值范围与评价级别之间的对应关系,由此得出较符合平遥县及周边区域实际的评价结果,同时针对具体情况对此结果进行简单的分析。     

反应性气体观测中标准气的误差问题及建议

通过制定严格的质量保证和质量控制措施,在实验室对不同的国产标准气与同一的具有NIST标准的进口标准气进行定量比对.结果发现,国内不同厂家生产及同一厂家生产不同批次的标准气,特别是SO2和NO标准气,其出厂浓度与比对后的浓度间存在较大的偏差.在所有比对结果中,有2/3的SO2标准气样品超过±5%的相对偏差,有1/3的SO...     

Spatially distributed modeling of the long-term carbon balance of a boreal landscape

Spatially and temporally distributed information on the sizes of biomass carbon (C) pools (BCPs) and soil C pools (SCPs) is vital for improving our understanding of biosphere-atmosphere C fluxes. Because the sizes of C pools result from the integrated effects of primary production, age-effects, changes in climate, atmospheric CO₂ concentration, N deposition, and disturbances, a modeling scheme that interactively considers these processes is important. We used the InTEC model, driven by various spatio-temporal datasets to simulate the long-term C-balance in a boreal landscape in eastern Canada. Our results suggested that in this boreal landscape, mature coniferous stands had stabilized their productivity and fluctuated as a weak C-sink or C-source depending on the interannual variations in hydrometeorological factors. Disturbed deciduous stands were larger C-sinks (NEP₂₀₀₄ = 150 gC m⁻² yr⁻¹) than undisturbed coniferous stands (e.g. NEP₂₀₀₄ = 8 gC m⁻² yr⁻¹). Wetlands had lower NPP but showed temporally consistent C accumulation patterns. The simulated spatio-temporal patterns of BCPs and SCPs were unique and reflected the integrated effects of climate, plant growth and atmospheric chemistry besides the inherent properties of the C pool themselves. The simulated BCPs and SCPs generally compared well with the biometric estimates (BCPs: r = 0.86, SCPs: r = 0.84). The largest BCP biases were found in recently disturbed stands and the largest SCP biases were seen in locations where moss necro-masses were abundant. Reconstructing C pools and C fluxes in the ecosystem in such a spatio-temporal manner could help reduce the uncertainties in our understanding of terrestrial C-cycle.