影响马尾松毛虫虫灾发生类型因素的重要性分析

运用列联表分析方法探讨了小班的林地起源、优势树种、地理、生长等因素对小班的马尾松毛虫虫灾发生类型的影响。分析结果表明：小班的海拔高度和坡度是决定小班的马尾松虫灾发生类型的关键因素。小班的优势种结构、平均树高及郁闭度对小班的马尾松毛虫虫灾发生类型也有较大的影响。图12表1参2     

杨树刺槐混交林沙地土壤的水分—物理性质

研究了刺槐与杨树混交林后沙地土壤水分－物理性质变化的状况,结果表明,刺槐与杨树混交后,土壤水分－物理性质得到了改善,表现在土壤最大持水量增加,毛管持水量、田间持水量得以提高,土壤有效持水量也有了较大幅度的提高,刺槐与杨树混交后土壤总孔隙度、非毛管孔隙度、毛管孔隙度得到提高,并由此而改善了混交林土壤的渗透性能,表4参7     

聚焦ISO 14001标准 创建生态旅游岛

结合鼓浪屿区实施ISO14001标准,探讨了其意义,实施步骤和特点,可为其它风景名胜区建立环境管理体系所借鉴。     

广州市居民家庭室内灰尘中传统和新型阻燃剂与塑化剂的污染特征及健康风险评估

近年来,随着阻燃剂多溴联苯醚(PBDEs)和以邻苯二甲酸酯(PAEs)为代表的传统型塑化剂(LPs)的逐步禁用或限用,有机磷系阻燃剂(PFRs)等新型阻燃剂及替代型塑化剂(APs)的生产和使用呈逐年增长的趋势,其环境污染特征和人体暴露健康风险值得引起广泛关注.目前,灰尘已广泛用于室内环境中PBDEs、PFRs和LPs等半挥发性有机污染物(SVOCs)的污染特征评估,而关于室内灰尘中APs的污染特征则鲜有报道.本研究以广州市42户普通居民家庭为研究对象,采集家庭室内灰尘并分析了PFRs、PBDEs、LPs和APs的含量及组成特征.结果表明,PFRs、PBDEs、LPs和APs在室内灰尘中均有广泛检出,其含量分别为593.28～11531.56、13.45～27029.13、40494.83～1154497.16和15365.19～1013352.51 ng·g^-1.大多数家庭中,PFRs和部分APs在灰尘中的含量呈现高于PBDEs和LPs的特征,PFRs和APs等新型污染物的人体暴露健康风险需引起高度关注.采用暴露模型评估人体经灰尘摄入和皮肤接触对目标污染物的日均暴...     

类水滑石对污泥焚烧飞灰浸出液中磷的纯化

采用Mg-Fe型类水滑石（LDH）吸附剂提纯污泥焚烧飞灰（ISSA）浸出液中的磷,探究了吸附剂煅烧对磷吸附效果的影响及磷吸附和脱附机理.研究发现,在高浓度磷溶液（>1000mg/L）中,未煅烧的类水滑石（LDHu）磷吸附容量高于煅烧后的类水滑石（LDHc）.LDHu具有典型的层状结构,磷的吸附与脱附主要通过磷和金属离子沉淀-溶解、静电吸附-排斥、配位作用和离子交换实现.而LDHc层状结构消失,形成双金属氧化物,不存在明显的阴离子交换作用.经LDHu或LDHc吸附和NaOH溶液脱附后,ISSA浸出液均具有良好的磷纯化效果,磷相对纯度从36%分别上升至77%和69%,磷回收率分别为84%和57%.纯化后的溶液适合制备高值含磷产物.     

环境监测市场化管理工作思考

阐述了我国及其他国家环境监测市场管理的经验,以及我国在推进环境监测市场化管理方面的探索;指出了目前环境监测市场化管理中存在的问题,提出,应加快建立适合国情的监测总体格局;建立完善环境监测社会化监管制度体系;充分发挥行业协会在监管中的作用;强化对社会监测机构监管力度;提高社会环境监测机构能力。     

上海市臭氧污染时空分布及影响因素

分析2006—2016年上海市的监测数据发现,臭氧(O_3)浓度存在逐年上升趋势,污染持续时间有所增加,但除水平风速有下降趋势外,其他相关气象因素的年际变化趋势并不显著。空间分析结果表明,上海市O_3超标主要集中在西南部郊区,但市区O_3超标潜势不容忽视。O_3污染高发季节的污染玫瑰图分析发现,上海市南部地区是影响上海市O_3污染的关键区域;对于NO_2减排的影响分析发现,尽管上海市O_3平均浓度总体处于上升趋势,但在NO_2下降幅度最为明显的内环市区和北部郊区,O_3上升幅度低于NO_2下降幅度较小的内外环区域和西部郊区,表明上海市的O_3污染控制仍需持续推进NOx的减排,并同步推进VOCs的减排。     

沈阳臭氧污染时空分布特征及变化趋势

以沈阳2013—2015年臭氧(O_3)监测数据为基础,从地域差异及时间变化上分析了沈阳O_3浓度变化特征。结果表明:沈阳城市外围O_3浓度高于城市中心;O_3浓度变化具有明显季节特征,夏季O_3浓度最高,冬季最低;O_3浓度日变化呈单峰分布,谷值出现在06:00,峰值出现在14:00;O_3浓度出现明显"周末效应",周末白天O_3浓度高于工作日O_3浓度,夜间差异不大。     

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland—a case study of the Yellow River Delta Natural Reserve

Coastal and estuarine areas are often polluted by heavy metals that result from industrial production and agricultural activities. In this study, we investigated the concentration trait and vertical pattern of trace elements, such as As, Cd, Ni, Zn, Pb, Cu, and Cr, and the relationship between those trace elements and the soil properties in coastal wetlands using 28 profiles that were surveyed across the Diaokouhe Nature Reserve (DKHNR). The goal of this study is to investigate profile distribution characteristics of heavy metals in different wetland types and their variations with the soil depth to assess heavy metal pollution using pollution indices and to identify the pollution sources using multivariate analysis and sediment quality guidelines. Principal component analysis, cluster analysis, and pollution level indices were applied to evaluate the contamination conditions due to wetland degradation. The findings indicated that the concentration of trace elements decreased with the soil depth, while Cd increases with soil depth. The As concentrations in reed swamps and Suaeda heteroptera surface layers were slightly higher than those in other land use types. All six heavy metals, i.e., Ni, Cu, As, Zn, Cr, and Pb, were strongly associated with PC1 (positive loading) and could reflect the contribution of natural geological sources of metals into the coastal sediments. PC2 is highly associated with Cd and could represent anthropogenic sources of metal pollution. Most of the heavy metals exhibited significant positive correlations with total concentrations; however, no significant correlations were observed between them and the soil salt and soil organic carbon. Soil organic carbon exhibited a positive linear relationship with Cu, Pb, and Zn in the first soil layer (0–20 cm); As, Cr, Cu, Ni, Pb, and Zn in the second layer (20–40 cm); and As, Cr, Cu, Ni, Pb, and Zn in the third layer (40–60 cm). Soil organic carbon exhibited only a negative correlation with Cd (P?I _geo values), which averaged less than 0 in the three soil layers, this finding indicates that the soils have remained unpolluted by these heavy metals. The mean concentrations of these trace elements were lower than Class I criteria. The degradation wetland restoration suggestions have also been provided in such a way as to restore the reserved flow path of the Yellow River. The results that are associated with trace element contamination would be helpful in providing scientific directions to restore wetlands across the world.