长江上游合江江段鱼类早期资源与向家坝水库生态调度效果初步研究

合江江段是长江上游干流保持河流生境、适宜喜流水性鱼类栖息的重要江段.为了掌握合江江段鱼类早期资源动态,分析向家坝水库生态调度的效果,于2020年向家坝水库生态调度前后,开展了鱼类早期资源逐日监测.研究期间,共采集到鱼类早期资源5目10科38种(属),其中仔鱼29种(属)、鱼卵19种(属),包括特有鱼类6种.广适应性和喜...     

南昌红角洲景观渠水生态现状评价及对策研究

以南昌市红角洲景观渠为研究对象,通过水生生境调查、水质监测、水生生物资源调查等方式对其水生态现状进行了综合评价。研究发现,红角洲景观渠为劣Ⅴ类水体,主要超标指标为总氮、氨氮、总磷,各渠道的综合营养状态指数在52.28～68.20之间,达到了轻度-中度富营养化水平。红角洲景观渠共检测到90种浮游植物、48种浮游动物、10种鱼类,优势藻类为硅藻、绿藻和蓝藻,优势浮游动物为原生动物和轮虫,优势鱼类为杂食性鱼类。红角洲景观渠存在生境多样性低、水体自净能力受损、生物群落结构简单等水生态问题,建议从截污控源、生境改善、水力调控、群落构建等4个层面尽快开展水生态修复。     

三峡水库135m水位蓄水典型次级河流回水段富营养化监测评价

通过2004年3月份对三峡水库135m水位蓄水状态下库区成库河段典型次级河流朱衣河、梅溪河、大宁河回水河段富营养化监测与评价,掌握了在这一季节三峡库区成库河段次级河流回水河段营养状态不同的分布模式.     

射阳港区规划对盐城自然保护区的生态影响研究

结合工程特点、港区规划范围自然保护区生态环境现状,识别和分析射阳港区规划实施后对盐城自然保护区的生态影响。结果表明,底栖生物丧失,浮游生物和鱼类减少,船舶溢油事故及建设和运营期三废的排放导致海域生态环境质量下降;溢油使鸟类生境遭到破坏,保护区结构和功能受阻等。提出相应的环保措施,最大限度减轻规划实施后对自然保护区的影响。     

浙江浦阳江大型底栖无脊椎动物物种多样性和生态功能恢复研究

为科学评估河流修复效果,研究修复河流中底栖动物物种多样性和生态功能恢复特征,以浙江省浦江县浦阳江干流为研究对象,分别对2个近自然河段、2个城区修复河段和3个郊区修复河段在修复后1,3,4和5年的水质和底栖动物恢复状况进行调查研究。采用广义最小二乘法(GLS)模型探索底栖动物物种多样性(总物种丰富度、EPT丰富度和Shannon-Wiener多样性指数)和功能多样性[功能丰富度、功能均匀度和Rao的二次熵指数(RaoQ)]与恢复年份和修复河段类型的相关性。结果表明,修复后河流的NH 3-N和TP浓度显著低于修复前(p<0.001),修复河段和整个调查河段的底栖动物物种多样性和功能多样性总体上随修复年份的增加呈上升趋势。GLS模型分析结果表明,相对于修复河段类型,修复年份对河流修复效果起着更为重要的作用,此外,郊区河段对修复后RaoQ功能多样性指数的改变作用显著(p<0.001)。提出,修复河段底栖动物多样性的恢复与恢复年份和河段受到的干扰类型密切相关。     

基于大型无脊椎动物完整性的赤水河健康评价体系构建

作为长江上游珍稀鱼类国家自然保护区的核心区,赤水河流域水系的健康状况虽颇受关注,但相关评价工作却较少。笔者结合现场调查(2016年)和历史数据(2007年),初步构建基于大型无脊椎动物群落的健康评价体系,对赤水河干流和部分支流的不同季节(春季和秋季)和不同河段(上中下游)的健康状况进行评估。指标筛选结果显示:赤水河上游河段在春季和秋季分别包括6、2个核心参数,中游河段分别包括5、4个,下游包括3、2个核心参数。通过四分法将健康状态划分为4个等级:健康、亚健康、一般和不健康。从整体上看,赤水河处于亚健康状态,且春季和秋季河流不同采样点健康状况有所差异,春季健康状况好于秋季。回归分析显示,BOD_5、COD_(Mn)以及NH~+_4-N是影响赤水河健康的主要环境因子。研究所构建的B-IBI评价指标较好地评估了赤水河的健康状况,可作为赤水河流域水体环境监测的有效手段之一。     

长江流域水生态评价指标初步研究

通过调研20世纪90年代以来国外主流水生态评价项目中采用的生境指标,统计了14个类型生境指标的使用频率,并针对不同的河流类型,筛选出物理形态特征、河岸带状况、生境组成、生境复杂性、人类干扰和水质状况等6个类型的11项评价指标,推荐作为长江流域河流生境评价指标.随后,利用层次分析法对国外水生生物评价指标进行了统计分析,并...     

袁河袁州区段溶解氧过饱和成因分析及防治

2020年8月15日袁河袁州区段(棚下-袁河水厂取水口)出现溶解氧过饱和现象,为了解该河段溶解氧的变化及提高河道流量前后对水生态环境的影响,将该段河道分为6个监测断面,于8月16—24日监测每个监测点的常规水质、浮游植物群落结构、溶解氧和实时流量.结果表明:自然状态下袁河袁州区段溶解氧沿水流方向从6.8 mg/L逐渐增...     

南水北调东线工程东平湖水COD环境容量计算及水质控制措施

根据南水北调东平湖水质要求,通过调查,摸清了东平湖上游的排污现状,选用多点容量计算法得出各河段和东平湖的COD环境容量,并提出了控制措施。     

黄河兰州段苯系物污染现状调查与评价

在对黄河兰州段（小川－宁安波）污染源调查、取样分析的基础上，利用气相色谱分析数据评价了苯系物对该河段的污染现状。结果表明：兰州河段除小川断面未受到污染外，其它各断面已受到了严重污染，苯、对二甲苯污染指数超标数１０倍。并就今后兰州段开展苯系物的监测，促使废污水达标排放提出了一些建议。     

2012—2017年海州湾潮间带大型底栖动物群落结构及变化

为了解海州湾潮间带大型底栖动物群落结构，分析人类养殖活动对其影响，于2012-2017年对该区域大型底栖动物进行调查。结果表明：6年间共发现120种大型底栖动物，依据种类组成进行聚类分析可分为4组；调查中总平均丰度为3 495.9 ind./m²，范围为506.7~17 864.0 ind./m²；总平均生物量为197.26 g/m²，范围为1.58~489.17 g/m²。光滑河蓝蛤（Potamocorbula laevis）为第一优势种，其繁殖盛期在每年9-10月。调查期间生物多样性整体呈下降趋势，人类的养殖活动主导着海州湾潮间带大型底栖动物群落结构的变化。     

2012—2019年松花江干流底栖动物群落变化及其对水环境因子的响应

底栖动物是水生态系统的重要组成部分,其群落特征通常用来评价水生态环境质量。研究了2012—2019年松花江干流水生态环境质量状况、变化趋势,并应用冗余分析(RDA)探究底栖动物群落结构特征与水环境因子之间的响应关系。结果表明:8年间共鉴定出底栖动物246个分类单元,隶属于4门、9纲、25目、58科、69属,其中水生昆虫的EPT物种为99个分类单元,占总物种数的40.24%;水生昆虫的其他物种为68个分类单元,占总物种数的27.64%;软体动物为36个分类单元,占总物种数的14.63%;环节动物为25个分类单元,占总物种数的10.16%;甲壳动物为18个分类单元,占总物种数的7.32%。底栖动物密度总体呈上升趋势,种类组成总体有所增多,其中环节动物、软体动物和甲壳动物有向水生昆虫转变的趋势,群落结构相对稳定且主要以水生昆虫占比最多,底栖动物密度平均值为5.97×10³个/m²,变化范围为2.86×10³~8.98×10³个/m²,优势科(属)主要为小蜉属Ephemerella、小寡脉蜉属Oligoneuriella、扁蜉属Heptagenia、等蜉属Isonychia、纹石蛾科Hydropsychidae、缺叉多距石蛾属Polycentropus、摇蚊科Chironomidae和圆田螺属Cipangopaludina等。生物指数评价结果多数为"中等"及以上,评价结果趋于稳定,且下游评价结果好于上游。松花江干流的水环境质量变化阶段性明显,溶解氧含量升高,氨氮呈下降趋势,其余指标呈波动变化。冗余分析(RDA)结果表明:影响松花江干流底栖动物群落结构变化的主要环境因子是随时间推移而变化的,其中溶解氧、生化需氧量、化学需氧量、总磷、氨氮和总氮等指标是影响该监测区域底栖动物群落分布的重要环境因子。     

基于信号改进深度学习网络的京津冀城市群二氧化氮浓度预测

在中国华北地区,二氧化氮污染仍旧不容忽视,尤其是在机动车辆密集和工业生产相对集中的京津冀城市群。运用小波分解(WD)和长短期记忆(LSTM)神经网络建立了W-LSTM组合模型,用于预测未来京津冀地区二氧化氮日均浓度和分指数。使用2014年1月—2018年5月主要大气污染物数据对组合预测模型进行训练试验,在获得最优模型参数后,使用2018年6月—2019年6月数据进行模型预测性能测试试验。结果表明,相较于传统的LSTM预测模型,W-LSTM组合预测模型具有更好的预测性能,预测结果的平均绝对百分误差为9.21%。在此基础上,使用最优预测模型对京津冀城市群2019年7月—2020年12月二氧化氮日均浓度进行了预测,并描绘了时空分布图用以表征其时空变化特征。     

秦山岛周边海域大型底栖动物群落健康状况评价

2015年8月,对秦山岛周边的10个站位进行大型底栖动物定量调查。采用生物多样性指数法和丰度生物量比较法对大型底栖动物群落健康状况进行评价。结果显示,共鉴定大型底栖动物7大类31种,其中软体动物、环节动物各10种,节肢动物5种,脊索动物和棘皮动物各2种,纽虫类和腔肠动物各1种;密度优势类群为软体动物,占总密度的35.00%,生物量优势类群为脊索动物,占总生物量的49.35%;优势种分别为红狼牙虾虎鱼(Odontamblyopus rubicundus)、棘刺锚参(Protankyra bidentata)、内卷原盒螺(Eocylichna involuta)和微角齿口螺(Odostomia subangulata)。大型底栖动物密度为站位St.6最大,为115 ind./m²,St.2最小,为20 ind./m²,平均值为70 ind./m²;生物量St.3最大,为197.25 g/m²,St.9最小,为2.56 g/m²,平均值为54.04 g/m²。秦山岛受污染压力、人为活动干扰和生境限制能因素影响,多样性偏低,优势种为耐污的软体动物、脊索动物和棘皮动物,但其主要为K对策种类,大型底栖动物群落受到了轻度干扰,但群落结构仍较为稳定。     

Numerical modelling of the groundwater inflow to an advancing open pit mine: Kolahdarvazeh pit,Central Iran

The groundwater inflow into a mine during its life and after ceasing operations is one of the most important concerns of the mining industry. This paper presents a hydrogeological assessment of the Irankuh Zn-Pb mine at 20 km south of Esfahan and 1 km northeast of Abnil in west-Central Iran. During mine excavation, the upper impervious bed of a confined aquifer was broken and water at high-pressure flowed into an open pit mine associated with the Kolahdarvazeh deposit. The inflow rates were 6.7 and 1.4 m³/s at the maximum and minimum quantities, respectively. Permeability, storage coefficient, thickness and initial head of the fully saturated confined aquifer were 3.5?×?10^?4 m/s, 0.2, 30 m and 60 m, respectively. The hydraulic heads as a function of time were monitored at four observation wells in the vicinity of the pit over 19 weeks and at an observation well near a test well over 21 h. In addition, by measuring the rate of pumping out from the pit sump, at a constant head (usually equal to height of the pit floor), the real inflow rates to the pit were monitored. The main innovations of this work were to make comparison between numerical modelling using a finite element software called SEEP/W and actual data related to inflow and extend the applicability of the numerical model. This model was further used to estimate the hydraulic heads at the observation wells around the pit over 19 weeks during mining operations. Data from a pump-out test and observation wells were used for model calibration and verification. In order to evaluate the model efficiency, the modelling results of inflow quantity and hydraulic heads were compared to those from analytical solutions, as well as the field data. The mean percent error in relation to field data for the inflow quantity was 0.108. It varied between 1.16 and 1.46 for hydraulic head predictions, which are much lower values than the mean percent errors resulted from the analytical solutions (from 1.8 to 5.3 for inflow and from 2.16 to 3.5 for hydraulic head predictions). The analytical solutions underestimated the inflow compared to the numerical model for the time period of 2–19 weeks. The results presented in this paper can be used for developing an effective dewatering program.     

Mercury concentration in the muscle of seven fish species from Chagan Lake,Northeast China

Chagan Lake is located downstream of the Second Songhua River basin in Northeast China. It is one of the top ten inland freshwater lakes, and an important aquatic farm in China. The lake has been receiving large amounts (currently at 1.5 × 10⁸ m³/a) of water from the river since 1984. This would pose a threat to the aquatic system of the lake because the river was seriously polluted with mercury in 1970s–1980s. The current study is the first to report the total mercury concentrations in fish found in the lake. Mercury concentrations in seven fish species collected from the lake in January 2009 were determined. The related human health risk from fish consumption was also assessed. The average concentration of mercury in the fish was 18.8 μg/kg of wet weight, ranging from 4.5 to 37.6 μg/kg of wet weight. A large difference in the mercury concentrations among the fish species was found. The mercury concentration was found to be higher in carnivorous species and lower in omnivorous and herbivorous species. This demonstrates greater mercury bioaccumulation in fish species at higher trophic levels. Mercury concentrations in fish showed significant positive correlations with age, length, and weight. No significant relationship was found between mercury concentrations in fish and the habitat preferences. Mercury concentrations in fish from the lake were within the limits of the international and national standards of China established for mercury. According to the reference doses established by the United States Environmental Protection Agency, the maximum safe consuming quantity considering all the fish was 297.3 g/day/person, which was more than five times as much as the current quantity (50 g/day/person) consumed by the local residents. This investigation indicates that the historical pollution of the Second Songhua River has not caused mercury bioaccumulation in fish muscle tissue of Chagan Lake. The present consumption of fish from the lake in the local area does not pose a threat to human health.     

The effects of season and sand mining activities on thermal regime and water quality in a large shallow tropical lake

Thermal structure and water quality in a large and shallow lake in Malaysia were studied between January 2012 and June 2013 in order to understand variations in relation to water level fluctuations and in-stream mining activities. Environmental variables, namely temperature, turbidity, dissolved oxygen, pH, electrical conductivity, chlorophyll-A and transparency, were measured using a multi-parameter probe and a Secchi disk. Measurements of environmental variables were performed at 0.1 m intervals from the surface to the bottom of the lake during the dry and wet seasons. High water level and strong solar radiation increased temperature stratification. River discharges during the wet season, and unsustainable sand mining activities led to an increased turbidity exceeding 100 NTU, and reduced transparency, which changed the temperature variation and subsequently altered the water quality pattern.     

Advantages of Geographically Weighted Regression for Modeling Benthic Substrate in Two Greater Yellowstone Ecosystem Streams

Stream habitat assessments are commonplace in fish management, and often involve nonspatial analysis methods for quantifying or predicting habitat, such as ordinary least squares regression (OLS). Spatial relationships, however, often exist among stream habitat variables. For example, water depth, water velocity, and benthic substrate sizes within streams are often spatially correlated and may exhibit spatial nonstationarity or inconsistency in geographic space. Thus, analysis methods should address spatial relationships within habitat datasets. In this study, OLS and a recently developed method, geographically weighted regression (GWR), were used to model benthic substrate from water depth and water velocity data at two stream sites within the Greater Yellowstone Ecosystem. For data collection, each site was represented by a grid of 0.1 m² cells, where actual values of water depth, water velocity, and benthic substrate class were measured for each cell. Accuracies of regressed substrate class data by OLS and GWR methods were calculated by comparing maps, parameter estimates, and determination coefficient r ². For analysis of data from both sites, Akaike’s Information Criterion corrected for sample size indicated the best approximating model for the data resulted from GWR and not from OLS. Adjusted r ² values also supported GWR as a better approach than OLS for prediction of substrate. This study supports GWR (a spatial analysis approach) over nonspatial OLS methods for prediction of habitat for stream habitat assessments.