在黑龙江省梧桐河,调查了13个点位的着生硅藻群落结构和水环境特征,应用8种硅藻指数对该河流水生生态系统进行健康评价,并在此基础上应用主成分分析、相关分析、冗余分析、箱型图分析等统计分析方法研究了影响梧桐河着生藻类群落的主要环境因子和8种硅藻指数在梧桐河的适用情况。结果显示:梧桐河存在一定程度的环境污染,优势种以小型异极藻(Gomphonema parvulum)等耐污种为主。8个硅藻指数中,硅藻属指数(Generic Index of Diatom,GI)、澳大利亚河流硅藻生物评价指数(Diatom Index for Australian Rivers,DIAR;Diatom Species Index for Bioassessment of Australian Rivers,DSIAR)评价结果偏差较大,在梧桐河不适用;相似度指数(Jaccard Index,JI)与富营养化硅藻指数(Trophic Diatom Index,TDI)评价结果较为严格,评分明显偏低;硅藻污染耐受指数(Pollution Tolerance Index,PTI)、硅藻生物评价指数(Diatom Bioassessment Index,DBI)和生物硅藻指数(Biological Diatom Index,BDI)在梧桐河流域适用性最好。根据冗余分析(RDA),将梧桐河流域点位分为3组,第一组点位为中-重度污染,主要影响因子为流速和总磷;第二组点位为轻-中度污染,主要影响因子为磷酸盐、氨氮和溶解氧;第三组点位为轻污染-清洁,主要影响因子为p H和电导率。 相似文献
The aerosol direct effects result in a 3%–9% increase in PM2.5 concentrations over Southern Hebei.These impacts are substantially different under different PM2.5 loadings.Industrial and domestic contributions will be underestimated if ignoring the feedbacks. Beijing-Tianjin-Hebei area is the most air polluted region in China and the three neighborhood southern Hebei cities, Shijiazhuang, Xingtai, and Handan, are listed in the top ten polluted cities with severe PM2.5 pollution. The objective of this paper is to evaluate the impacts of aerosol direct effects on air quality over the southern Hebei cities, as well as the impacts when considering those effects on source apportionment using three dimensional air quality models. The WRF/Chem model was applied over the East Asia and northern China at 36 and 12 km horizontal grid resolutions, respectively, for the period of January 2013, with two sets of simulations with or without aerosol-meteorology feedbacks. The source contributions of power plants, industrial, domestic, transportation, and agriculture are evaluated using the Brute-Force Method (BFM) under the two simulation configurations. Our results indicate that, although the increases in PM2.5 concentrations due to those effects over the three southern Hebei cities are only 3%–9% on montly average, they are much more significant under high PM2.5 loadings (~50 μg·m−3 when PM2.5 concentrations are higher than 400 μg m−3). When considering the aerosol feedbacks, the contributions of industrial and domestic sources assessed using the BFM will obviously increase (e.g., from 30%–34% to 32%–37% for industrial), especially under high PM2.5 loadings (e.g., from 36%–44% to 43%–47% for domestic when PM2.5>400 μg·m−3). Our results imply that the aerosol direct effects should not be ignored during severe pollution episodes, especially in short-term source apportionment using the BFM. 相似文献
We implemented the online coupled WRF-Chem model to reproduce the 2013 January haze event in North China, and evaluated simulated meteorological and chemical fields using multiple observations. The comparisons suggest that temperature and relative humidity (RH) were simulated well (mean biases are–0.2K and 2.7%, respectively), but wind speeds were overestimated (mean bias is 0.5 m?s–1). At the Beijing station, sulfur dioxide (SO2) concentrations were overpredicted and sulfate concentrations were largely underpredicted, which may result from uncertainties in SO2 emissions and missing heterogeneous oxidation in current model. We conducted three parallel experiments to examine the impacts of doubling SO2 emissions and incorporating heterogeneous oxidation of dissolved SO2 by nitrogen dioxide (NO2) on sulfate formation during winter haze. The results suggest that doubling SO2 emissions do not significantly affect sulfate concentrations, but adding heterogeneous oxidation of dissolved SO2 by NO2 substantially improve simulations of sulfate and other inorganic aerosols. Although the enhanced SO2 to sulfate conversion in the HetS (heterogeneous oxidation by NO2) case reduces SO2 concentrations, it is still largely overestimated by the model, indicating the overestimations of SO2 concentrations in the North China Plain (NCP) are mostly due to errors in SO2 emission inventory.
Incorporating the missing heterogeneous oxidation of S(IV) by NO2 into the WRF-Chem model. Sulfate production is not sensitive to increase in SO2 emission. The newly added reaction reproduces sulfate concentrations well during winter haze. We implemented the online coupled WRF-Chem model to reproduce the 2013 January haze event in North China, and evaluated simulated meteorological and chemical fields using multiple observations. The comparisons suggest that temperature and relative humidity (RH) were simulated well (mean biases are -0.2K and 2.7%, respectively), but wind speeds were overestimated (mean bias is 0.5 m?s−1). At the Beijing station, sulfur dioxide (SO2) concentrations were overpredicted and sulfate concentrations were largely underpredicted, which may result from uncertainties in SO2 emissions and missing heterogeneous oxidation in current model. We conducted three parallel experiments to examine the impacts of doubling SO2 emissions and incorporating heterogeneous oxidation of dissolved SO2 by nitrogen dioxide (NO2) on sulfate formation during winter haze. The results suggest that doubling SO2 emissions do not significantly affect sulfate concentrations, but adding heterogeneous oxidation of dissolved SO2 by NO2 substantially improve simulations of sulfate and other inorganic aerosols. Although the enhanced SO2 to sulfate conversion in the HetS (heterogeneous oxidation by NO2) case reduces SO2 concentrations, it is still largely overestimated by the model, indicating the overestimations of SO2 concentrations in the North China Plain (NCP) are mostly due to errors in SO2 emission inventory. 相似文献
