阿尔泰山两河源区生态环境问题研究

由于人类对自然资源的不合理开发利用，以及自然环境的演变，阿尔泰山两河源区的生态环境出现了比较严重的退化。两河源区的生态环境不仅直接关系到阿勒泰地区人民的生活及经济的发展，而且还关系到相关地区的可持续发展问题。针对阿尔泰山两河源区的生态环境问题笔者提出了相应的对策与建议。     

隧道渗涌水量的随机模型预测

渗涌水问题是常见的隧道病害 ,是影响隧道正常使用 ,危及行车安全的重要因素。因此 ,科学地预测隧道涌水量大小 ,是制定最优防治水方案 ,确保安全通车的关键。笔者以大瑶山隧道渗涌水量的实测数据为基础 ,应用随机过程的理论和方法 ,建立了隧道渗涌水量的平稳序列预测模型 ,并将预测值与实测结果进行了对比 ,比较吻合。     

汜水河（荥阳段）入河排污口水体微塑料赋存特征及风险评估

城市河流是微塑料的主要接纳者与传输者.探明城市河流微塑料污染状况及其环境风险,可为进一步控制微塑料污染提供依据.以黄河支流汜水河作为研究对象,采集汜水河（荥阳段）9个排污口的污水样品,通过显微镜对微塑料尺寸、形状及颜色等赋存形态进行分析,发现微塑料在排污口水体中多以透明状的纤维和碎片形式存在,且500 μm以下占比较高;进一步采用激光红外成像仪对微塑料种类进行鉴定,发现PET和PE聚合物是主要的微塑料种类,且二者显著相关,表明它们在来源上有相似性.环境风险评价结果表明,微塑料种类是影响评价结果的主要因素,有PVC检出的6个排污口水体环境风险值较高,而污染负荷指数评价结果显示整个研究区段处于低风险水平.     

深圳市2015~2021年雨源型河流水质时空变化及其对降雨的响应

雨源型城市河流水容量偏小,缺乏动态补充水源,易受污染.基于深圳市2015~2021年全市（不含深汕）9大流域的21个水质指标数据和逐日降雨数据,利用单因子指数评价、综合污染指数、层次聚类分析和Pearson相关分析等方法,研究深圳市河流水质时空分布特征及特征污染物对降雨的响应关系.结果表明：①2015年全区大部分断面水质都是劣Ⅴ类水,2018年10月后河流水质总体得到大幅度改善,与2018年深圳市开展治水专项活动背景一致,到2021年约62%的断面水质达Ⅰ~Ⅲ类水标准;②深圳市（不含深汕）西部人口稠密地区的水质污染较东部更严重,河口和支流下游水质污染较上游更严重;③深圳市坪山河、龙岗河、茅洲河和深圳河的水质受降雨的影响显著;④深圳市河流的主要特征污染指标是DO、COD、BOD₅、NH₄⁺-N、TP、高锰酸盐指数、石油类和阴离子表面活性剂;对于坪山河和龙岗河,降雨使TP和NH₄⁺-N指标浓度升高;对于茅洲河,降雨使TP和COD指标浓度升高;对于深圳河,降雨使COD、TP和NH₄⁺-N指标浓度升高.以上结果能够揭示深圳市雨源型河流水质时空变化情况及其对降雨事件引发的非点源污染的响应关系,为深圳市打造更高品质水环境提供科学参考.     

北京市城市河流中抗生素的污染特征及多层次生态风险评估

为评估北京市河流中抗生素的污染特征和生态风险,利用固相萃取结合高效液相色谱串联质谱检测了4类共35种常见抗生素的浓度水平,并利用风险商法（RQ）和联合概率曲线法（JPCs）评估了抗生素的生态风险.结果表明,北京市10条河流地表水中共检测出33种抗生素,总浓度范围是N.D.~1573.57 ng·L^-1,磺胺甲噁唑的浓度最高（N.D.~160.04 ng·L^-1）,其次为磺胺嘧啶（0.09~147.90 ng·L^-1）和氧氟沙星（0.28~94.72 ng·L^-1）,其中检出率 > 50.0 %的抗生素有16种;RQ法显示有12种抗生素存在生态风险,四环素、克拉霉素和甲氧苄氨嘧啶的风险最高,其风险商分别为3.99、1.86和1.01,污水处理厂出口的风险高于其所在河流干流的风险.四环素、克拉霉素和甲氧苄氨嘧啶的预测无效应浓度超标率均为2.3 %,基于JPCs发现,克拉霉素的最大风险乘积为1.66 %,对0.3 %~7.0 %的物种具有低等风险,其余抗生素的风险可忽略.抗生素的检出率、浓度分布、最敏感物种和物种敏感性分布对生态风险评估具有重要影响,采用多层次生态风险评估法能有效避免保护不足和过保护现象,有助于在全区域范围内对抗生素进行分级和分区管理.     

新安江水库主要入流营养盐的时间变化特征及其影响因素分析

流域上游来水是水库的重要补给源,其水质状况直接决定下游受纳水库的生态系统状态和功能,研究入库来水营养盐的时间演变特征并揭示其变化的影响因素,为水库水质管理提供重要科学依据。以新安江水库安徽辖区为研究区,分析了2007—2016年期间流域入库水质的变化特征,探讨水文、气象等环境条件对入库水质的影响。研究结果表明,2007年以来,COD_Mn和透明度表现为下降趋势,TN、TP、NH₃-N呈明显上升趋势,来水营养水平上升,但叶绿素a呈下降趋势。流域降水带来的水文情势的变化对来水水质起重要作用,来水中N、P营养盐丰水期显著高于枯水期,同流域降水过程显著正相关。     

太湖西北部湖区入湖河流氮磷水质标准修正方案研究

氮磷污染一直是太湖流域的首要污染问题,有效遏制氮磷入湖量的增加是治理太湖的重要任务。然而由于我国现行的地表水环境质量标准(GB3838-2002)中河流和湖泊氮、磷水质标准存在差异,即河流无总氮控制指标、河湖总磷标准不一致的问题,往往造成通过控制入湖河流污染来改善太湖湖泊水质时,湖泊污染物浓度往往达不到治理目标。以太湖西北部湖区及其入湖河流为例,利用BATHTUB模型模拟入湖河流与湖泊TN、TP的关系,推算太湖在满足现行湖泊水质标准中TN和TP各类别目标值的情形下的环境容量并以此环境容量决定入湖河流的水质,进而提出相应的方案进行比选,从而提出太湖入湖河流氮磷水质标准修正方案。结果表明:(1)当太湖入湖河流执行现行河流水质TP标准时,对应湖泊的水质TP超标,并不能达到保护湖泊的目标;(2)当太湖西北部湖区入湖河流TN、TP执行现行湖泊水质标准,对应湖区水质均能达标并且优于目标限值,然而该方案对于污染较为严重的太湖区域的实际参考意义不足;(3)以现行湖泊水质标准TN、TP各类别为目标值反推计算入湖河流水质指标,既能保证湖泊水质达标,又不会使河流水质标准过于严格,因此其结果可作为入湖河流水质标准修正的参考,从而提出太湖入湖河流TN、TP水质标准建议方案。     

Assessment Tools for Urban Catchments: Developing Stressor Gradients1

Abstract: This is the first in a series of three articles designed to establish empirically defined biological indicators and thresholds for impairment for urbanized catchments, and to describe a process by which the biological condition of waterbodies in urbanized catchments can be applied. This article describes alternative gradients of urbanization for assessing and selecting a nationally applicable biological index (article 2 – Purcell et al., this issue ) and defining the potential of biological communities within a gradient of cumulative stressors (article 3 – Paul et al. this issue ). Gradients were designed to represent the most prominent mosaic of stressors found in urban settings. A primary urban gradient was assembled based on readily obtained information of urbanization to include three broad‐scale parameters: percent urban land use/land cover, population density, and road density. This gradient was used as the standard by which alternative urban gradients, which included fine‐scale instream chemical and hydrologic parameters, were assessed. Five alternative gradients were developed to provide numerous environmental management options based on availability of data from water program resources. The urban gradients were developed with the intent that they be applied throughout the country; therefore, data from three different regions of the United States (Mid‐Atlantic, Midwest, and Pacific Coast) were used to validate the urban gradient model. Our study showed that a relatively straightforward stressor gradient consisting of human population density, road density, and urban land use is useful in providing a framework for developing relevant biological indicators and evaluating the potential of biological communities as a basis for assessing attainment of designated aquatic life use.     

Ecosystem Consequences of Contrasting Flow Regimes in an Urban Effects Stream Mesocosm Study1

Abstract: A stream mesocosm experiment was conducted to study the ecosystem‐wide effects of two replicated flow hydrograph treatments programmed in an attempt to compare a simulated predevelopment condition to the theoretical changes that new development brings, while accounting for engineering design criteria for urban stormwater management. Accordingly, the treatments (three replicates each) differed in base flow between events and in the rise to, fall from, and duration of peak flow during simulated storm hydrographs, which were triggered by real rain events occurring outside over a 96‐day period from summer to fall, 2005. Incident irradiance, initial substrate quality, and water quality were similar between treatments. Sampling was designed to study the interactions among the treatment flow dynamics, sediment transport processes, streambed nutrients, and biotic structure and function. What appeared most important to the overall structure and function of the mesocosm ecosystems beyond those changes resulting from natural seasonality were (1) the initial mass of fines that infiltrated into the gravel bed, which had a persistent effect on nitrogen biogeochemistry and (2) the subsequent fine sediment accumulation rate, which was unexpectedly similar between treatments, and affected the structure of the macroinvertebrate community equally as the experiment progressed. Invertebrate taxa preferring soft beds dominated when the gravel was comprised of 5‐10% fines. The dominant invertebrate algal grazer had vacated the channels when fines exceeded 15%, but this effect could not be separated from what appeared to be a seasonal decline in insect densities over the course of the study. Neither hydrograph treatment allowed for scour or other potential for flushing of fines. This demonstrated the potential importance of interactions between hydrology and fine sediment loading dynamics on stream ecosystems in the absence of flows that would act to mobilize gravel beds.     

A Comparison of Statistical Approaches for Predicting Stream Temperatures Across Heterogeneous Landscapes1

Abstract: Estimating stream temperatures across broad spatial extents is important for regional conservation of running waters. Although statistical models can be useful in this endeavor, little information exists to aid in the selection of a particular statistical approach. Our objective was to compare the accuracy of ordinary least‐squares multiple linear regression, generalized additive modeling, ordinary kriging, and linear mixed modeling (LMM) using July mean stream temperatures in Michigan and Wisconsin. Although LMM using low‐rank thin‐plate smoothing splines to measure the spatial autocorrelation in stream temperatures was the most accurate modeling approach; overall, there were only slight differences in prediction accuracy among the evaluated approaches. This suggests that managers and researchers can select a stream temperature modeling approach that meets their level of expertise without sacrificing substantial amounts of prediction accuracy. The most accurate models for Michigan and Wisconsin had root mean square errors of 2.0‐2.3°C, suggesting that only relatively coarse predictions can be produced from landscape‐based statistical models at regional scales. Explaining substantially more variability in stream temperatures likely will require the collection of finer‐scale hydrologic and physiographic data, which may be cost prohibitive for monitoring and assessing stream temperatures at regional scales.