太阳电池阵基板原子氧防护膜试验评价研究

对太阳电池阵基板用涂有有机硅／SiO2杂化涂层的Kapton膜进行的工程化应用试验评价研究进行了介绍。通过真空下材料的出气试验,对材料的总质量损失（TML）和可凝挥发物（CVCM）进行了测试。进行了温度冲击试验、粒子辐照试验,对涂层的环境耐受性进行了研究。通过原子氧试验,对带涂层薄膜的原子氧剥蚀率进行了研究。此外还对涂层薄膜进行了力学性能试验和粘接性能试验,对带涂层薄膜的拉伸强度、胶接剪切性能及与基板胶接后的剥离性能进行了测试。试验结果表明防护涂层满足工程应用的技术要求。     

淮河流域农业非点源污染空间特征解析及分类控制

农业非点源污染是导致流域水质恶化的重要原因,识别流域内关键源区并加以重点控制是流域非点源污染治理的最有效手段.以淮河流域为研究对象,采用清单分析法核算了流域173个县(市、区)的畜禽养殖、农村生活、农田种植、水产养殖4种污染源化学需氧量(COD)、总氮(TN)、总磷(TP)排放量和排放强度.利用SPSS和GIS软件对污染排放强度进行聚类分析、敏感性评价及空间解析,解析出流域非点源污染的敏感地区、重点污染源及其空间分布特征,并依据污染源贡献大小对流域进行分类控制.结果表明,2009年淮河流域农业非点源COD、TN、TP排放量分别为206.74×104t、66.49×104t、8.74×104t;排放强度分别为7.69、2.47、0.32 t·hm-2;COD、TN、TP排放比重分别为73%、24%、3%.识别出COD、TN、TP的主要贡献污染源为畜禽养殖和农村生活;解析出淮河上游沙河、颍河、北汝河、贾鲁河以及清潩河等子流域为整个流域非点源污染的敏感区和优先控制区,畜禽养殖为流域优先控制区中的重点污染源.畜禽污染型和综合污染型分别是流域污染贡献率最高和控制难度大的污染类型.     

Microbial reduction of uranium (VI) by Bacillus sp. dwc-2: A macroscopic and spectroscopic study

The microbial reduction of U(VI) by Bacillus sp. dwc-2, isolated from soil in Southwest China, was explored using transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS) and X-ray absorption near edge spectroscopy (XANES). Our studies indicated that approximately 16.0% of U(VI) at an initial concentration of 100 mg/L uranium nitrate could be reduced by Bacillus sp. dwc-2 at pH 8.2 under anaerobic conditions at room temperature. Additionally, natural organic matter (NOM) played an important role in enhancing the bioreduction of U(VI) by Bacillus sp. dwc-2. XPS results demonstrated that the uranium presented mixed valence states (U(VI) and U(IV)) after bioreduction, which was subsequently confirmed by XANES. Furthermore, the TEM and high resolution transmission electron microscopy (HRTEM) analysis suggested that the reduced uranium was bioaccumulated mainly within the cell and as a crystalline structure on the cell wall. These observations implied that the reduction of uranium may have a significant effect on its fate in the soil environment in which these bacterial strains occur.     

河流水环境容量安全边际研究

水环境容量安全边际是污染物总量控制的关键。运用河流二维稳态水质模型,计算大宁河回水区内COD环境容量,并采用一阶误差分析法分析模型关键参数对大宁河COD环境容量影响程度,科学计算大宁河水环境容量安全边际值。结果表明,三峡库区坝前水位175 m时,大宁河回水区内COD环境容量为729.06 t/a;模型参数对环境容量影响顺序为:背景浓度(C0)>混合区长度(x)=水深(h)>流速(u)=扩散系数(E)y>降解系数(K);大宁河回水区内安全边际值为84.06 t/a,占环境容量的11.53%。文章科学地计算大宁河回水区内COD环境容量安全边际,而非人为定性提出,为三峡库区河流水环境容量安全边际确定提供理论依据。     

鸭绿江口及毗邻浅海沉积物重金属富集特征与潜在生态风险比较

为研究鸭绿江河口及毗邻浅海沉积物中重金属的污染状况,比较了鸭绿江口及毗邻浅海表层沉积物重金属的富集系数、多金属污染度的沿程变化,分析了重金属的分布富集规律;讨论了采用不同的背景值在潜在生态风险指数、地累积指数、生物效应浓度3种评价方法中的差异及其对生态风险评价结果的影响. 结果表明:鸭绿江口及毗邻浅海的潜在生态风险总体属于低风险等级,其中毗邻浅海和潮滩的重金属污染较轻,西汊道的污染相对较重. 重金属的高值分布区与混浊带具有一定的对应关系,但受人类活动的影响更大,对鸭绿江口及毗邻浅海表层沉积物重金属污染生态风险评价贡献率较高的重金属污染因子是Cu,Hg和Cd.      

天津市中心城区集中供应管网末梢水的抗生素耐药基因污染特征研究

为了研究天津市中心城区集中供应管网末梢水的抗生素耐药基因(antibiotic resistance genes,ARGs)污染特征,采集了天津市中心城区6个采样点的管网末梢水样,分别采用微孔滤膜正压过滤法及核酸吸附-洗脱法富集水中细菌和胞外核酸后,利用实时定量PCR技术对15种胞内ARGs和胞外ARGs进行定量检测....     

Effects of productivity on biodiversity in forest ecosystems across the United States and China

In the global campaign against biodiversity loss in forest ecosystems, land managers need to know the status of forest biodiversity, but practical guidelines for conserving biodiversity in forest management are lacking. A major obstacle is the incomplete understanding of the relationship between site primary productivity and plant diversity, due to insufficient ecosystem‐wide data, especially for taxonomically and structurally diverse forest ecosystems. We investigated the effects of site productivity (the site's inherent capacity to grow timber) on tree species richness across 19 types of forest ecosystems in North America and China through 3 ground‐sourced forest inventory data sets (U.S. Forest Inventory and Analysis, Cooperative Alaska Forest Inventory, and Chinese Forest Management Planning Inventory). All forest types conformed to a consistent and highly significant (P < 0.001) hump‐shaped unimodal relationship, of which the generalized coefficients of determination averaged 20.5% over all the forest types. That is, tree species richness first increased as productivity increased at a progressively slower rate, and, after reaching a maximum, richness started to decline. Our consistent findings suggest that forests of high productivity would sustain few species because they consist mostly of flat homogeneous areas lacking an environmental gradient along which a diversity of species with different habitats can coexist. The consistency of the productivity–biodiversity relationship among the 3 data sets we examined makes it possible to quantify the expected tree species richness that a forest stand is capable of sustaining, and a comparison between the actual species richness and the sustainable values can be useful in prioritizing conservation efforts.     

The Trump administration’s decision to withdraw the United States from the Paris Climate Agreement

<正>After years of complex and challenging negotiations,197countries reached a landmark climate agreement during the 2015 United Nations Framework Convention on Climate Change summit in Paris(the 21st Conference of the Parties(COP21)).Under the Paris Agreement,countries announced actions they plan to take to mitigate their greenhouse gas emissions known as Intended Nationally Determined Contributions.Although there is     

Assessing relative vulnerability to sea-level rise in the western part of the Mekong River Delta in Vietnam

The Mekong River Delta in Vietnam plays a crucial role for the region in terms of food security and socioeconomic development; however, it is one of the most low-lying and densely populated areas in the world. It is vulnerable to seawater incursion, flood risk, and shoreline change, exacerbated as a consequence of sea-level rise (SLR) related to climate change. This study examined the Kien Giang coast in the western part of the delta, comprising seven coastal districts (namely Ha Tien, Kien Luong, Hon Dat, Rach Gia, Chau Thanh, An Bien, and An Minh), the economy of which is important in terms of agriculture and aquaculture. The analytical hierarchical process (AHP) method of multi-criteria decision making was integrated directly into geographic information systems (GIS) to derive a composite vulnerability index that indicated areas most likely to be vulnerable to SLR. The hierarchical structure comprised three key components: exposure (E), sensitivity (S), and adaptive capacity (A), at level 1. At the next level, 8 sub-components were mapped: seawater incursion, flood risk, shoreline change, population characteristics, land use/land cover, and socioeconomic, infrastructure, and technological capability, beyond which a further 22 variables (level 3) and 24 sub-variables (level 4) related to vulnerability were also mapped. Variables were assigned weights for incorporation into AHP pairwise comparisons after discussion with stakeholders. Maps were generated to visualise areas where the relative vulnerability was very low, low, moderate, high, and very high. Societal data were generally only available at district level; however, several regional patterns emerged. Relatively high exposure to flooding and inundation, salinity, and moderate loss of mangroves occurred along the coastal fringe of each district. This western section of the delta, which is low-lying and remote from the distributaries that carry sediment to the coast, appears to be particularly vulnerable. The most sensitive areas tended to be ethnic households engaged in rice cultivation and with moderate population density. The least adaptable areas consisted of high numbers of poor households, with low income, and moderate densities of transport, irrigation and drainage systems. Most coastal districts were determined to be moderately to relatively highly vulnerable, with scattered hotspots along the coast.     

Insight into metal binding properties of biochar-derived DOM using EEM-PARAFAC and differential absorption spectra combined with two-dimensional correlation spectroscopy

Environmental Science and Pollution Research - A large amount of biochar-derived dissolved organic matter (BDOM) will be released into the environment with biochars application into repairing...