基于引江灌湖为基础的物理生态工程应用研究

结合武汉市湖泊特点及分析湖泊污染带来的危害 ,叙述了一种以引江灌湖为主的生态恢复技术———物理生态工程 ,它包括 :引江灌湖模式 ;光合耗营养盐系统 ;鱼类除营养盐、抑藻系统 ;底栖、浮游动物控营养盐系统和面源截营养盐系统。并从理论及过去他人的研究实例中阐述其可行性     

菏泽市主要河流中氟的分布及其影响因素

菏泽市地处鲁西南高氟地区,其河流中的高浓度氟化物不仅会通过径流过程影响南四湖水质,还会影响当地水生态平衡及人体健康。通过分析菏泽市主要河流中氟化物的时空分布特征,并结合地下水、土壤及废污水调查结果,探讨了影响河流中氟化物分布的主要因素。结果表明:研究区河流中氟化物的平均浓度在0.98~1.45 mg/L之间,氟化物浓度分布呈现出枯水期＞平水期＞丰水期、下游＞上游、支流＞干流的特征。氟化物浓度较高的河流呈现高pH、低钙的特点,水化学组分以Na-HCO₃型、Na-SO₄型为主。河流中氟化物的浓度主要受蒸发浓缩和岩石风化作用的影响。研究区地下水和土壤中氟化物的背景浓度整体较高。枯水期高氟地下水可能通过直接补给河流对河流水体产生影响,丰水期土壤中的氟也会通过径流过程汇入河流。人类工农业生产过程大量开采利用当地高氟地下水,而高氟废水最终则会进入河流,导致河流中氟化物的含量升高。     

Bioassessment in A Harsh Environment: A Comparison of Macroinvertebrate Assemblages at Reference and Assessment Sites in An Australian Inland River System

The Lachlan River system of inland New South Wales, which extends into semi-arid areas, is prone to natural extremes of climate and water quality and has been almost entirely modified since European settlement in Australia. We used this system as a proving ground for the mainly qualitative bioassessment metrics for river macroinvertebrates that are used widely in Australia – the EPT (Ephemeroptera, Plecoptera and Trichoptera) index, the SIGNAL (Stream Invertebrate Grade Number Average Level) biotic index and the AUSRIVAS O/E (Australian River Assessment System Observed over Expected) index – plus a recently developed qualitative index, the observed proportion of potential taxa (OPP). We tested these metrics on their ability to discriminate between sites judged to be less disturbed by human activities (reference sites) and sites selected by a semi-random process and therefore expected to have a higher average level of human disturbance (assessment sites). All metrics except the AUSRIVAS O/E index differed significantly between the two types of sites at higher altitudes, with SIGNAL showing the greatest discrimination. Assessment at these altitudes was more effective if based on composite data from multiple mesohabitats rather than data from single mesohabitats. No metric differentiated the two types of sites in the more arid, lowland, floodplain region of the river system. We suggest that Australia relies too heavily on bioassessment concepts developed to assess water pollution in well-watered regions of the Northern Hemisphere. Effective assessment of human impacts on macroinvertebrates in the rivers of inland Australia requires a better understanding of the roles of flow regimes, including flood and drought sequences, and of microhabitat structure and invasive alien species. Quantitative approaches may also be required.     

长江三角洲区域经济发展的新趋向

论述了长江三角洲区域经济发展的四大新趋向,即①从行政区经济到都市圈经济。行政区经济与都市圈经济在运行环境、运行机制、运行目标、运行方式、调控手段等方面存在显著差别,都市圈经济发展模式更适应区域经济一体化发展需要;②从隔江单侧发展到跨江双侧协同发展。如上海、苏南和杭州,都在大力推进跨江发展战略;③从外向型经济或民营经济到两者融合的区域特色经济。经济国际化和民营化相互结合、外地资本和本地资本相互渗透已成为该区域经济发展的重要特色;④从权力型政府到服务型政府。如上海的“服务高地”、苏南的理性执政、浙江的“无为而治”等。     

Nitrate Status of Two Major Rivers in N. E. Scotland with Respect to Land Use and Fertiliser Additions

Land Use and the influence it has upon river water nitrate levels is discussed, for two large relatively unpopulated river systems in the N.E. of Scotland. the catchment areas for the rivers Dee and Don have been further subdivided into a number of sub catchments. Substantial differences in land use and agricultural potential exist both within and between the two areas. Greater agricultural production down stream is associated with increased river nitrate concentrations.     

平原河网地区大型底栖动物群落结构及其与环境因子的关系

大型底栖无脊椎动物是河流生态系统的重要组成生物,具有活动范围相对固定、生命周期较长、生活习性相对稳定等特点,可有效指示河流水质和水生态系统健康状况。有关大型底栖生物群落结构特征及其与水环境之间的关系研究一直是河流生态系统的研究热点。底栖动物具有较强的地域性,其群落结构特征受当地的自然环境特征和社会经济发展程度的双重因素影响。为研究典型平原河网地区的底栖动物群落结构及对水环境状况的响应特征,在上海市选取了83个河道断面进行大型底栖动物采样分析,共获取底栖动物20个分类单位（种）,其中软体动物10种,环节动物6种,节肢动物4种。上海河道底栖动物群落结构总体呈现结构单一、物种丰富度低、高度耐污性等显著特征,环节动物的栖息密度和出现频率均最高。城市化水平的空间差异性直接影响底栖动物空间分布的异质性,由市区至近郊、远郊,物种数从11种逐渐上升至15种,而栖息密度则由8 776.3个/m2下降至690.3个/m2。底栖动物群落结构的空间分布特征与水质理化指标的空间分布特征具有良好的对应性,水质空间变化导致环节动物和软体动物、节肢动物的空间分布存在一定交错性,耐污性较强的环节动物主要分布在有机污染重、溶解氧低的市区河道断面,而喜清洁环境的软体动物和节肢动物主要分布在水质较好的郊区断面。寡毛纲物种的栖息密度与溶解氧质量浓度呈显著负相关性。     

洱海10条入湖河流缓冲带三圈内氮含量沿程变化

2013年7月采集了10条洱海入湖河流缓冲带三圈(外圈、内圈、中圈)内沿程34个断面的表层水样,测定了水样中总氮、可溶性总氮和氨氮的含量,分析其空间分布特征.结果表明,缓冲带内3个采样点的水质变化规律有9种类型:连续升高型,连续降低型,先降低后升高的“V”字型,先升高后降低的倒“V”字型,平稳型,先升高后平稳型,先下降后平稳型,先平稳后降低型,先平稳后升高型,10条洱海入湖河流水体ρ(TN)较高,平均值为2.93mg/L,特别是内圈入湖河口处ρ(TN)平均值为3.74mg/L,对洱海威胁较大,应加大河道治理,完善缓冲带内圈村落管网收集系统和垃圾处理设施.其中,茫涌溪、黑龙溪和清碧溪流域缓冲带ρ(DTN)为0.30~2.31mg/L,占TN比例的平均值为81%,中圈水体中氮负荷明显较内圈和外圈的高,应通过测土平衡施肥以及有机肥增施来降低化肥使用量,减少农田污染物随径流流失.考虑入湖河流水质上游普遍较好,中游开始恶化,建议在缓冲带外圈建设生态砾石床、生态塘和地下渗透池等生态截蓄净化工程.     

基于国际河流开发的国家水质标准差异对比分析

就国际河流相邻国家用水特点,分析我国与俄罗斯在地表水用于生活饮用水和农田灌溉水2个方面的水质标准进行对比分析,具体分析这2个标准在两国之间的总体差异和具体指标差异。分析的总体结论是俄罗斯的水质标准在项目分类、具体评价指标方面比我国丰富,具体指标的限值要稍严于我国标准。针对两国水质标准的不同,分析在国际河流开发利用中可能导致的冲突及这种差异对我国的影响,并从社会经济发展需求、水资源开发及相关政策关注重点等方面揭示两国水质标准存在差异的原因,为有效解决由于水质标准差异导致的争端提供科学依据。     

Concentration‐Duration‐Frequency Curves for Stream Turbidity: Possibilities for Assessing Biological Impairment1

Abstract: Siltation and subsequent biological impairment is a national problem prompting state regulatory agencies to develop sediment total maximum daily loads (TMDL) for many streams. To support TMDL targets for reduced sediment yield in disturbed watersheds, a critical need exists for stream assessments to identify threshold concentrations of suspended sediment that impact aquatic biota. Because of the episodic nature of stream sediment transport, thresholds should not only be a function of sediment concentration, but also of duration and dose frequency. Water quality sondes can collect voluminous amounts of turbidity data, a surrogate for suspended sediment, at intervals that can be used to characterize concentration, duration, and frequency of elevated turbidity events. To characterize turbidity sonde data in an ecologically relevant manner, a methodology for concentration‐duration‐frequency (CDF) curves was developed using turbidity doses that relate to different levels of biological impairment. To illustrate this methodology, turbidity CDF curves were generated for two sites on Little Pigeon River in the Great Smoky Mountains National Park, Tennessee, using over 30,000 sonde data measurements per site for a one‐year period. Utilizing a Poisson arrival approach, turbidity spikes were analyzed stochastically by observing the frequency and duration of recorded events over a turbidity level that relates to a biological dose response. An exponential equation was used to fit duration and frequency of a specified turbidity level to generate concentric‐shaped CDF curves, where at specific turbidities longer durations occurred less frequently and conversely shorter durations occurred more frequently. The significance of the equation fit to the data was accomplished with a Kolmogorov‐Smirnov goodness‐of‐fit test. Our findings showed that the CDF curves derived by an exponential function performed reasonable well, with most curves significant at a 95% confidence level. These CDF curves were then used to demonstrate how they could be used to assess biological impairment, and identify future research needs for improved development of sediment TMDLs.     

Nutrient Bioassays of Growth Parameters for Algae in the North Bosque River of Central Texas1

Abstract: Nutrient dose‐response bioassays were conducted using water from three sites along the North Bosque River. These bioassays provided support data for refinement of the Soil and Water Assessment Tool (SWAT) model used in the development of two phosphorus TMDLs for the North Bosque River. Test organisms were native phytoplanktonic algae and stock cultured Pseudokirchneriella subcapitata (Korshikov) Hindak. Growth was measured daily by in vivo fluorescence. Algal growth parameters for maximum growth (μ_max) and half‐saturation constants for nitrogen (K_N) or phosphorus (K_P) were determined by fitting maximum growth rates associated with each dose level to a Monod growth rate function. Growth parameters of native algae were compared between locations and to growth parameters of P. subcapitata and literature values. No significant differences in half‐saturation constants were indicated within nutrient treatment for site or algal type. Geometric mean K_N was 32 μg/l and for K_P 7 μg/l. A significant difference was detected in maximum growth rates between algae types but not between sites or nutrient treatments. Mean μ_max was 1.5/day for native algae and 1.2/day for stock algae. These results indicate that watershed‐specific maximum growth rates may need to be considered when modeling algal growth dynamics with regard to nutrients.