成都市河流生态健康评价

研究以成都市域内河流为研究对象,通过采样分析得到水质、生境状况、浮游藻类、底栖动物等相关指标,利用综合指标体系法,评价成都市域内河流生态系统健康状况,并结合成都市人口、土地利用、地区生产总值等因素分析人类活动与河流生态健康的关系。结果表明:成都市河流浮游藻类以硅藻和绿藻为主,部分中下游采样点出现以蓝藻为主的情况;底栖动物以指示有机污染的颤蚓科出现的频率最高,约48%的采样点以颤蚓科为优势种;约74%的河流生态健康状况为"差"或"很差",河流生态健康状况整体呈现中上游优于下游、城市周边优于市区的特征;人口密度、人类活动用地比例与河流中氨氮呈显著正相关,人类活动会显著影响河流生态系统健康。     

长江源区水生态系统健康研究进展

对截止至2021年6月报道的长江源区气候、水资源、水质、藻类、大型无脊椎动物和鱼类资源等水生态系统健康相关研究进行了综述,以期为进一步开展长江源区水生态系统健康研究与生态保护提供参考和依据。研究结果表明:①长江源区水生态相关研究主要关注于气候变化,其次为水资源变化和草地退化。②1948—2019年,长江源区全年平均气温呈上升趋势,增长速度为0.2~0.5℃/10 a;春季和冬季降水量呈增加趋势,增长速度分别为1.1~26.6 mm/10 a和0.2~9.1 mm/10 a;全年平均径流量呈增加趋势,增长速度为11.8~79.6 m³/(s·10 a);蒸发量呈增加趋势,增长速度为7.6~71.6 mm/10 a。③1969—2002年,冰川面积减少了68.1 km²,年均减少2.0 km²。1969—2015年,格拉丹东冰川面积减少了14.9~79.0 km²,减少速度为0.5~10.0 km²/a。1975—2015年,湖泊面积增加了2.7~831.6 km²,增速为0.3~96.2 km²/a。④1986—2015年,大部分河段水质为Ⅱ类及以上,且无明显年际变化。⑤针对水生生物的调查和研究非常匮乏。总体而言,长江源区水生态系统健康状况良好。近年来其气象因子以及水资源状况有所改变,未来气候变化可能会进一步影响长江源区水生态系统健康状况。今后亟须加强对长江源区的本底调查,完善基础数据,关注气候变化对水资源和水质的影响,并探索气候变化对水生生物的影响。     

污染治理前后小清河上游浮游植物群落变化与水质评价

为研究小清河污染治理前后浮游植物群落与水质变化,分别于2015年(治理前)和2020年(治理后)在小清河上游进行采样调查。调查结果显示,2015年样品中共检出浮游植物6门35种,2020年样品中共检出4门31种。配对样本t检验结果显示,污染治理前后的浮游植物种类、密度都发生了显著改变。相比治理前,治理后的硅藻门和绿藻门相对丰度分别上升了51.6个百分点和13.3个百分点,蓝藻门下降了62.9个百分点,小环藻(Cyclotella spp.)取代微囊藻(Microcysitis spp.)成为绝对优势种,群落类型由蓝藻型演替为硅藻型。相似性分析结果和相似度百分比分析结果表明,小清河上游群落特征发生显著改变。非度量多维标度分析结果显示,治理后的S2与S3采样点群落特征表现出差异,S4与S1采样点群落特征相似。通过冗余分析发现,治理后,TP、DO对浮游植物群落的影响明显减弱,TN、NH₃-N、pH是目前影响群落特征的主要指标,主城区氮磷污染对浮游植物的影响范围由S2、S3、S4采样点缩小到S2采样点。治理前后的小清河上游Shannon-Wiener多样性指数、Pielou均匀度指数和Marglef丰富度指数存在显著差异。总体来看,治理后的小清河上游水质处于α-中污染状态,较治理前有明显改善。     

CCME WQI在入海河流(鳌江)感潮河段水质评价中的应用

水质指数(WQI)在环境保护的日常工作中发挥了重要作用。以鳌江为例,运用加拿大环境部长理事会水质指数(CCME WQI)方法,选取pH、溶解氧、高锰酸盐指数、氨氮、总氮、总磷、石油类、氟化物、阴离子表面活性剂、粪大肠菌群10项水质监测项目,评估了入海河流干流感潮河段4个监测断面的地表水环境质量,并对CCME WQI与最差因子法以及CCME WQI优缺点进行比较和分析。研究结果显示,2014年埭头、江屿、方岩渡、江口渡监测断面水质分别为良好、较差、中等、中等。与传统水质评价最差因子法比较,运用CCME WQI评价结果容忍度较高,更贴近实际水质状况。CCME WQI量化形式为属地流域环境管理带来便利。监测断面水质目标和参评项目对CCME WQI评价结果起决定性作用。针对CCME WQI在实际应用中存在的问题给出了建议。     

Application of CCME Water Quality Index to Monitor Water Quality: A Case Study of the Mackenzie River Basin, Canada

All six ecosystem initiatives evolved from many years of federal, provincial, First Nation, local government and community attention to the stresses on sensitive habitats and species, air and water quality, and the consequent threats to community livability. This paper assesses water quality aspect for the ecosystem initiatives and employs newly developed Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) which provides a convenient mean of summarizing complex water quality data that can be easily understood by the public, water distributors, planners, managers and policy makers. The CCME WQI incorporates three elements: Scope – the number of water quality parameters (variables) not meeting water quality objectives (F ₁); Frequency – the number of times the objectives are not met (F ₂); and Amplitude. the extent to which the objectives are not met (F ₃). The index produces a number between 0 (worst) to 100 (best) to reflect the water quality. This study evaluates water quality of the Mackenzie – Great Bear sub-basin by employing two modes of objective functions (threshold values): one based on the CCME water quality guidelines and the other based on site-specific values that were determined by the statistical analysis of the historical data base. Results suggest that the water quality of the Mackenzie-Great Bear sub-basin is impacted by high turbidity and total (mostly particulate) trace metals due to high suspended sediment loads during the open water season. Comments are also provided on water quality and human health issues in the Mackenzie basin based on the findings and the usefulness of CCME water quality guidelines and site specific values.     

Water Quality Assessment of an Untreated Effluent Impacted Urban Stream: The Bharalu Tributary of the Brahmaputra River, India

Guwahati, the lone city on the bank of the entire midstream of the Brahmaputra River, is facing acute civic problem due to severe depletion of water quality of its natural water bodies. This work is an attempt towards water quality assessment of a relatively small tributary of the Brahmaputra called the Bharalu River flowing through the city that has been transformed today into a city drainage channel. By analyzing the key physical, chemical and biological parameters for samples drawn from different locations, an assessment of the dissolved load and pollution levels at different segments in the river was made. Locations where the contaminants exceeded the permissible limits during different seasons were identified by examining spatial and temporal variations. A GIS developed for the watershed with four layers of data was used for evaluating the influence of catchment land use characteristics. BOD, DO and total phosphorus were found to be the sensitive parameters that adversely affected the water quality of Bharalu. Relationship among different parameters revealed that the causes and sources of water quality degradation in the study area were due to catchments input, anthropogenic activities and poor waste management. Elevated levels of total phosphorus, BOD and depleted DO level in the downstream were used to develop an ANN model by taking total phosphorus and BOD as inputs and dissolved oxygen as output, which indicated that an ANN based predictive tool can be utilized for monitoring water quality in the future.     

以北运河（北京段）为例模拟评估北京市“水十条”水质改善效果

基于MIKE11构建北运河(北京段)一维水质模型,以氨氮、COD为目标污染物,建立污染源与水质响应关系。以2013年为基准年,考虑不同人口疏解情景预测2020年北运河(北京段)流域人口,并结合北京市"水十条"设置减排情景方案,对2020年水质改善效果进行量化评估。模拟结果表明:北京市"水十条"可实现显著的水质改善效果,到2020年,在中人口疏解方案下,北运河氨氮、COD平均质量浓度相比2013年分别下降40.8%~77.7%、39.3%~59.7%。COD质量浓度可稳定达标,氨氮质量浓度离达标还有一定差距,但日浓度可稳定在8mg/L以下,基本消除了黑臭水体。