大凌河朝阳段大型底栖无脊椎动物监测及BI指数评价

通过对大凌河朝阳段5个采样点9个样本的底栖动物监测分析,检出底栖动物59种,采用BI指数进行水质评价。调查结果表明,大凌河南大桥及上游河段为清洁,市区段下游为轻污染至中污染。     

浑河主要污染指标特征性分析

利用1995年至2010年浑河干流7个常规监测断面的历年监测数据,通过统计分析确定浑河水质的主要污染指标为氨氮、总磷（TP）、化学需氧量（COD）和生化需氧量（BOD）。并指出1995～2000年间,浑河有机污染突出,2000年以后,浑河水质氮、磷污染更为突出,有机污染有所改善。并详细分析了这四项主要污染指标的时间及水期间分布规律,为浑河流域水污染治理及编制流域规划提供技术支撑。     

Nitrogen cycle of a typical Suaeda salsa marsh ecosystem in the Yellow River estuary

The nitrogen (N) biological cycle of the Suaeda salsa marsh ecosystem in the Yellow River estuary was studied during 2008 to 2009. Results showed that soil N had significant seasonal fluctuations and vertical distribution. The N/P ratio (15.73±1.77) of S. salsa was less than 16, indicating that plant growth was limited by both N and P. The N absorption coefficient of S. salsa was very low (0.007), while the N utilization and cycle coefficients were high (0.824 and 0.331, respectively). The N turnover among compartments of S. salsa marsh showed that N uptake from aboveground parts and roots were 2.539 and 0.622 g/m2, respectively. The N translocation from aboveground parts to roots and from roots to soil were 2.042 and 0.076 g/m2, respectively. The N translocation from aboveground living bodies to litter was 0.497 g/m2, the annual N return from litter to soil was far less than 0.368 g/m2, and the net N mineralization in topsoil during the growing season was 0.033 g/m2. N was an important limiting factor in S. salsa marsh, and the ecosystem was classified as unstable and vulnerable. S. salsa was seemingly well adapted to the low-nutrient status and vulnerable habitat, and the nutrient enrichment due to N import from the Yellow River estuary would be a potential threat to the S. salsa marsh. Excessive nutrient loading might favor invasive species and induce severe long-term degradation of the ecosystem if human intervention measures were not taken. The N quantitative relationships determined in our study might provide a scientific basis for the establishment of effective measures.     

郁江、黔江和浔江广西桂平段水质变化趋势分析

根据2003-2012年水质监测资料,采用秩相关系数法对郁江、黔江和浔江广西桂平段水质变化趋势进行分析。结果表明,黔江和浔江水质呈明显好转趋势;郁江水质呈好转趋势,但不明显。提出了继续加强水污染防治工作的建议。     

卤系阻燃剂在东江工业水体中的质量浓度及其分配特征

本研究分析了东江工业水体中卤系阻燃剂的浓度,组成分布以及分配特征.结果表明多溴联苯醚(PBDEs)是水体中的主要的卤系阻燃剂,占总卤系阻燃剂的41.0%,其质量浓度范围为1 102.3~3 666.9 pg·L~(-1),其中BDE209是颗粒相的主要成分.四溴双酚A(TBBPA)占总卤系阻燃剂的32.4%,其质量浓度范围为1 120.9~2 856.5 pg·L~(-1),其他卤系阻燃剂如十溴二苯乙烷(DBDPE)、德克隆(DP)和六溴环十二烷(HBCDs)分别占总卤系阻燃剂的16.3%、7.3%和3.0%,其质量浓度范围分别为397.7~1 736.8、235.7~778.1和9.5~266.8 pg·L~(-1).在对水体溶解相和颗粒相分配的研究中发现,PBDEs、DBDPE、DP和HBCDs主要存在于水体颗粒相中,而TBBPA由于其较大的水溶性,主要存在于溶解相中;卤系阻燃剂的lgK_(oc)与lgK_(ow)之间存在显著的相关性,但是lgK_(oc)实测值与其理论预测值有一定差异,这可能是受控于悬浮颗粒(SPM)含量和溶解有机碳(DOC)含量这两个因素,此外,颗粒相和溶解相之间分配是否达到平衡也是影响测量lg Koc值的因素.     

瑞平塘河氟化物污染状况调查及溯源研究

以2016—2020年地表水常规监测结果为依据,发现瑞平塘河自2017年起出现氟化物质量浓度升高现象,2020年其中1个断面氟化物质量浓度平均值达到1.25 mg/L,比2016年高出145%。为此于2021年3—6月,对瑞平塘河流域的氟化物污染状况进行实地调查并开展溯源研究。研究结果显示,2021年氟化物质量浓度超过1.0 mg/L的点位占59.34%,其中超过1.5 mg/L的点位占42.86%,表明大部分河道氟化物质量浓度已经超过水体功能区要求,对生态环境安全构成较大潜在风险。溯源调查结果表明,排除了农业源及矿山源污染的可能,乳胶制品企业排放的废水为瑞平塘河氟化物的污染来源。针对目前该行业的排放标准和环境影响评价均未提及氟化物污染,企业废水处理设施也无除氟工艺单元,缺乏有效的污染防治措施与监管要求等问题。提出,应及时组织开展该区域乳胶制品行业整治提升,增加氟化物处理工艺单元,提升出水水质,确定氟化物排放浓度限值,并对该行业排放标准做进一步研究和完善等建议。     

张家港河凤凰段水质达标整治方案研究

张家港河凤凰段位于张家港市凤凰镇,受上游、支流水质以及区域生活污染源等影响,河道出入境断面水质达标率较低,主要超标因子为氨氮和总磷。本文通过水质现状分析和现场调研,总结了水质难达标的主要原因,提出了针对性较强的水质提升整治方案,对改善张家港河水环境具有非常重要的意义。     

河湖水环境问题及管理和治理模式

本文首先介绍了我国当前的河湖水环境现状,分析了我国水资源存在的一系列问题,主要问题包括水体污染和富营养化;河湖面积严重萎缩,河湖水的功能逐渐退化;难以降解的有机污染物污染量加大。有针对性地提出了改善我国河湖水环境的管理以及治理模式,进一步落实了保护河湖水环境工作,加强水资源周围生态环境的文明建设,实现河湖水环境的可持续发展。     

河道生态环境保护与治理工作

现阶段,随着社会经济的不断发展,国家越来越重视河道整治工作。目前,依然存在着部分河道污染严重的问题。本文将对河道生态环境保护与治理工作进行分析研究,希望为相关工作人员提供参考。     

Dams in the Amazon: Belo Monte and Brazil’s Hydroelectric Development of the Xingu River Basin

Hydroelectric dams represent major investments and major sources of environmental and social impacts. Powerful forces surround the decision-making process on public investments in the various options for the generation and conservation of electricity. Brazil’s proposed Belo Monte Dam (formerly Kararaô) and its upstream counterpart, the Altamira Dam (better known by its former name of Babaquara) are at the center of controversies on the decision-making process for major infrastructure projects in Amazonia. The Belo Monte Dam by itself would have a small reservoir area (440 km²) and large installed capacity (11, 181.3 MW), but the Altamira/Babaquara Dam that would regulate the flow of the Xingu River (thereby increasing power generation at Belo Monte) would flood a vast area (6140 km²). The great impact of dams provides a powerful reason for Brazil to reassess its current policies that allocate large amounts of energy in the country’s national grid to subsidized aluminum smelting for export. The case of Belo Monte and the five additional dams planned upstream (including the Altamira/Babaquara Dam) indicate the need for Brazil to reform its environmental assessment and licensing system to include the impacts of multiple interdependent projects.