江安河武侯区段水质改善的环境经济效益研究

根据成都市江安河武侯区段2010年11月-2011年3月的水质监测数据,结合中国地表水环境质量标准(GB3838-2002)和四川省实际确定水体中各污染物因子的本底浓度对该区段污水处理环境效益进行了分析。首先通过污染经济损失模型计算COD、BOD5、NH3-N、TP、SS和硫化物对水经济价值的损失率,然后在讨论COD、NH3-N、TP和硫化物减排情况的基础上计算了各种污染指标减排至达标后所产生的环境经济效益。研究结果表明,江安河武侯区段水体污染的综合污染损失率高达99.99%,如果各种污染物减排达标至IV类标准产生的环境经济效益14 912万元人民币/a,而减排达标至III类标准产生的环境经济效益更是高达15 786万元人民币/a。     

污泥活性炭处理染料废水的研究

采用污泥活性炭处理酸性品红模拟染料废水,研究了pH值、污泥活性炭投加量、温度、吸附时间等因素对染料废水的脱色率和COD去除率的影响。探讨了污泥活性炭处理染料废水的机理。实验结果表明:污泥活性炭表现出良好的吸附性能,随着酸性品红染料废水浓度的增加,脱色率先增大后减小,COD去除率的变化曲线与脱色率的曲线呈现相似的走势,但在脱色过程中,只有部分染料分子被吸附到污泥活性炭的结构中,另一部分脱色应归因于水溶液中的氢离子吸引染料分子中的碱性助色基团;随着污泥活性炭投加量的增加,脱色率逐渐增大,COD去除率一直减小;由于染料分子中的显色基团和助色基团与废水溶液中氢离子和氢氧根离子之间的相互作用,导致pH对处理效果的影响比较明显,脱色率和COD去除率均在pH为弱酸性范围内效果比较好;随水浴时间的增加,脱色率逐渐增加,COD去除率很低并一直减小;温度的升高使脱色率先增大后减小,COD去除率整体逐渐减小。通过正交试验得到最佳工艺参数为:pH值取5,水浴时间取6.5 h,水浴温度取20℃,染料废水浓度取2.5 mg/L,活性炭投加量取2.5 g,其脱色率为47.73%,COD去除率为62.62%。     

含丙烯腈废水处理技术发展现状与试验研究

含丙烯腈废水危害大、难降解,而用生化法对该类废水进行预处理的难点在于工艺的选择。文章较系统地概述了含丙烯腈废水处理技术的发展现状,并重点研究了“水解酸化＋SBR工艺＋生物滤池技术”处理工艺的反应器启动阶段。研究结果表明：1．水解酸化工艺可用于含丙烯腈废水的处理;2．SBR反应器处理效果良好,COD的平均去除率在70％以上,而且对进水水质的变化适应性较强;3．生物滤池技术应用于废水处理可显著提高COD的去除率。上述研究成果为下一步进行水解酸化＋生物滤池技术＋SBR处理工艺的效果试验奠定了基础。     

烟台市大气臭氧近地面分布特征初探

利用2008年7月-2009年6月烟台市11个子站的大气臭氧自动连续监测数据,时臭氧浓度的区域分布、季节变化、日变化、与二氧化氮浓度相关性等特征进行分析．结果表明：①郊区臭氧浓度高于市中心区;②臭氧浓度季节变化明显,其大小依次排排列为春季、夏季、秋季和冬季;③臭氧浓度具有明显的日变化,一般在午后浓度较高。夜晚较低,早晨...     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

Identifying robust strategies for assisted migration in a competitive stochastic metacommunity

Assisted migration (AM) is the translocation of species beyond their historical range to locations that are expected to be more suitable under future climate change. However, a relocated population may fail to establish in its donor community if there is high uncertainty in decision-making, climate, and interactions with the recipient ecological community. To quantify the benefit to persistence and risk of establishment failure of AM under different management scenarios (e.g., choosing target species, proportion of population to relocate, and optimal location to relocate), we built a stochastic metacommunity model to simulate several species reproducing, dispersing, and competing on a temperature gradient as temperature increases over time. Without AM, the species were vulnerable to climate change when they had low population sizes, short dispersal, and strong poleward competition. When relocating species that exemplified these traits, AM increased the long-term persistence of the species most when relocating a fraction of the donor population, even if the remaining population was very small or rapidly declining. This suggests that leaving behind a fraction of the population could be a robust approach, allowing managers to repeat AM in case they move the species to the wrong place and at the wrong time, especially when it is difficult to identify a species’ optimal climate. We found that AM most benefitted species with low dispersal ability and least benefited species with narrow thermal tolerances, for which AM increased extinction risk on average. Although relocation did not affect the persistence of nontarget species in our simple competitive model, researchers will need to consider a more complete set of community interactions to comprehensively understand invasion potential.     

气候变化主要因子对马铃薯生物量积累及产量和品质的影响

利用新型开顶式气室(OTC)开展CO_2浓度升高和大气增温试验,分别为模拟增温2.0℃,模拟增温2.0℃且CO_2浓度增加到650μmol·mol-1,对照CO_2浓度约410μmol·mol^-1,对马铃薯叶片、叶柄和茎等地上生物量、根和块茎等地下生物量积累过程及其特征参数的协同影响研究,分析气候变化对马铃薯产量形成和品质的影响,为半干旱区适应气候变化提供科学依据。结果表明,模拟增温2.0℃且CO_2浓度增加到650μmol·mol^-1,马铃薯茎和地上部生物量积累显著比对照高35.8%—53.4%;生物量较单独增温处理显著增加24.4%—34.4%。马铃薯茎和地上部生物量最大积累速度出现时间推后,最大积累速度加快,生物量快速积累间隔日数较单独增温处理和对照均延长。大气增温加CO_2浓度升高复合处理试验中,马铃薯块茎鲜质量积累在块茎膨大中期略低于单独增温处理外,在其余积累时段均高于单独增温处理以及对照。马铃薯成熟期块茎在复合处理下,鲜质量显著高于单独增温处理24.1%;高于对照3.4%。马铃薯块茎鲜质量最大积累速度出现时间也推后,快速积累期间隔日数较单独增温处理延长,但与对照接近。增温与CO_2复合处理使马铃薯叶片净光合速率提高,水分利用效率提高,干物重积累增多,经济产量增加。     

环境保护税对企业绩效的影响研究：基于税额标准的提高

2018年中国正式开征环境保护税,这是我国首个以环境保护为直接政策目标的税种。环境保护税由排污费改革而来,有一半以上省份直接平移排污费收费标准,其他省份提高了税额标准。本文以2016—2019年中国上市公司季度数据为研究样本,利用PSM-DID方法评估了环境保护税税额标准提高对企业绩效的短期经济影响。实证结果表明,在短期内环境保护税税额标准提高并不会对企业绩效产生显著的影响,这一结论在进行三重差分、更换指标和数据等稳健性检验之后仍然成立。此外,本文发现在制度环境较好的东部地区,环境保护税对企业绩效的短期抑制作用更为显著,税额标准提高降低了企业的净资产收益率和总资产报酬率,显示出制度环境对环境保护税具有加强效应,从而促使企业有更好的环境表现。对此,本文提出应持续优化环境保护税制度,提高征管能力和水平,调高部分地区环境保护税税额标准,改进中西部地区制度环境等建议。     

三峡库区非点源污染氮磷负荷时空变化及其来源解析

三峡库区是我国重要水源保护区,也是长江流域经济迅速发展区域之一.非点源污染是库区水环境恶化的主要原因,因此研究库区非点源污染状况对于区域的生态安全以及可持续发展具有重要意义.研究采用改进输出系数模型,估算库区1990~2015年的非点源氮磷污染负荷总量,分析非点源氮磷污染的时空变化特征,并通过计算各污染源的贡献率确定主要污染来源.结果表明,氮磷污染负荷量在空间上均呈现库区腹地高,库尾次之,库首最低的分布特征;氮磷污染负荷总量在时间上均呈现先增加后降低的趋势,在2000年达到最高值,2015年降到最低值;各污染源对氮磷污染负荷量的贡献率按从大到小依此为：土地利用、农村生活以及畜禽养殖;其中,旱地这种土地利用类型是非点源氮磷污染的主要来源.     

反硝化除磷污泥聚集体内原位除磷活性及有机物浓度的影响

以SBR系统反硝化除磷污泥为对象,利用氧化还原电位、溶解氧和磷酸盐微电极定量研究了污泥聚集体内除磷菌的原位除磷活性及有机物浓度的影响.结果发现,厌氧初期污泥聚集体内最大净体积释磷速率为3.29mg·（cm³·h）^-1,是缺氧初期最大净体积吸磷速率的3倍左右;厌氧末期释磷速率明显降低,最大净体积释磷速率仅为厌氧初期的一半.在缺氧末期,最大净体积吸磷速率降至0.14mg·（cm³·h）^-1,且在1800 μm以下深层区域发生了"二次释磷"现象.随着COD浓度由350 mg·L^-1降至250 mg·L^-1和150 mg·L^-1,反硝化除磷菌的最大净体积释磷速率由3.27 mg·（cm³·h）^-1降至2.44 mg·（cm³·h）^-1和2.01 mg·（cm³·h）^-1,且快速吸磷区域整体向污泥聚集体表层收窄.