大气污染影响下凯里植物氮、硫含量分析

对大气污染影响下凯里植物氮、硫质量分数进行测定分析。结果表明:植物的氮质量分数为0.8%～2.8%,平均值为1.5%;硫质量分数为0.4%～1.4%,平均值为0.8%。植物的氮、硫质量分数都高于对照点植物,为对照点植物的1.4倍、1.9倍,表明该区植物已受到了大气污染的影响。不同植物间的氮、硫质量分数差异达到3.5倍和2.5倍。不同类型植物的氮、硫质量分数也存在差异,氮质量分数中:藤本>草本>灌木>乔木,硫质量分数中:藤本>草本>乔木>灌木;落叶植物的氮、硫质量分数>常绿植物的氮、硫质量分数。不同研究点植物的氮、硫质量分数存在差异,均表现为:玻璃厂>火电厂>水泥厂。     

面向区域二次污染风险控制的臭氧及其前体物卫星遥感监测

日益突出的臭氧(O_3)污染已成为继PM2. 5之后我国大气污染防治的又一艰巨任务。由于氮氧化物(NO_x)、挥发性有机物(VOCs)这2种前体物的减排难度较大,且与O_3浓度存在复杂的非线性关系,准确获取O_3及NO_x、VOCs的时空分布对制定有效的防控措施至关重要。基于卫星遥感可定量反演O_3及2种前体物的代表性物种——二氧化氮(NO_2)、甲醛(HCHO)及乙二醛(C_2H_2O_2)的时空分布信息。面向区域O_3污染分析和防控应用,综述了卫星遥感对O_3及NO_2、HCHO、C_2H_2O_2的探测能力,以及利用遥感手段分析区域O_3及其前体物的传输。进而从O_3与NO_x、VOCs关系的角度,分析了利用卫星反演的前体物表征O_3生成风险的可行性。最后对卫星在区域O_3及其前体物监测方面的前景趋势提出了思考。     

污染防治攻坚战的地方实践与推进建议

阐述了国家全面加强生态环境保护坚决打好污染防治攻坚战意见的主要内容,研究了浙江、深圳、天津等地污染防治工作的亮点。结合南京面临的主要环境问题,梳理分析了南京实施意见的目标、原则、治理举措等内容,提出了加强政策支撑推进污染防治、理清权责关系深化联动合作、强化监测科研注重数据运用、开展宣传教育推动公众参与等建议。     

Nitrogen Content of Letharia vulpina Tissue from Forests of the Sierra Nevada, California: Geographic Patterns and Relationships to Ammonia Estimates and Climate

Nitrogen (N) pollution is a growing concern in forests of the greater Sierra Nevada, which lie downwind of the highly populated and agricultural Central Valley. Nitrogen content of Letharia vulpina tissue was analyzed from 38 sites using total Kjeldahl analysis to provide a preliminary assessment of N deposition patterns. Collections were co-located with plots where epiphytic macrolichen communities are used for estimating ammonia (NH₃) deposition. Tissue N ranged from 0.6% to 2.11% with the highest values occurring in the southwestern Sierra Nevada (range: 1.38 to 2.11). Tissue N at 17 plots was elevated, as defined by a threshold concentration of 1.03%. Stepwise regression was used to determine the best predictors of tissue N from among a variety of environmental variables. The best model consisted only of longitude (r ² = 0.64), which was reflected in the geographic distribution of tissue values: the southwestern Sierra Nevada, the high Sierras near the Tahoe Basin, and the Modoc Plateau, are three apparent N hotspots arranged along the tilted north–south axis of the study area. Withholding longitude and latitude, the best regression model suggested that NH₃ estimates and annual number of wetdays interactively affect N accumulation (r ² = 0.61; % N ∼ NH₃ + wetdays + (NH₃ × wetdays)). We did not expect perfect correspondence between tissue values and NH₃ estimates since other N pollutants also accumulate in the lichen thallus. Additionally, other factors potentially affecting N content, such as growth rate and leaching, were not given full account.