Distribution of persistent organochlorine pesticides in tissue/organ of silver carp (Hypophthalmichthys molitrix) from Guanting Reservoir, China

The concentration of organochlorine pesticides（OCPs） in tissues and organs of silver carp（Hypophthalmichthys mofitrix） from Guanting Reservoir were investigated to evaluate the pollution potential and distribution of OCPs. A total of 16 OCPs were measured and the concentrations were in the range of 1.61-69.01 ng/g wet weight（ww） for total OCPs, 0.16- 0.75 ng/g ww for HCB. 0.75 -26.80 ng/g ww for SHCH（sum of α-,β-, γ- and δ-HCH） and 0.68-35.94 ng/g ww for SDDT（ sum of p, p＇-DDE, p, p＇-DDD, o, p＇-DDT and p, p＇- DDT）. The mean concentrations of total OCPs, HCB, ∑HCH, and ∑DDT were 18.04, 0.96, 7.14 and 9.28 ng/g ww, respectively. Among the organochlorine pesticides, β-HCH and p, p＇-DDE were the most dominant compounds in tissue and organ with the average concentrations of 4.42 and 8.14 ng/g, respectively. The results obtained in this study show that the levels of 16 OCP residues found in silver carps are low and pose no threat to human health and wildlife fed upon them on the basis of existing related quality guidelines. However, recent input of lindane and DDT might still exist in the area investigated and further investigation should be carried on.     

湖库富营养化敏感分级概念及指标体系研究

依据水体富营养化的危害程度与地理位置、流动条件等因素有关的概念,在一个较小的尺度上提出了水体富营养化敏感分级的概念,将富营养化的控制级别从河流-湖泊2级扩展到多级,并提出了分级采用的指标体系的一般概念.同时与美国环境保护局的大尺度分区(分级)方法进行了比较分析,发现美国14个生态分区河流与湖库的富营养化基准存在不协调之处,认为以该统计方法分别进行河流与湖库富营养化基准制定,可能产生河流基准的控制指标严于湖泊基准的不合理情况.      

改进USLE模型及其在于桥水库非点源污染敏感区划分中的应用

根据于桥水库周边流域非点源污染的特点,在充分考虑污染源与水库的距离以及库体自净作用因子的基础上,对饮用水源地非点源敏感区划分的通用土壤流失方程（USLE）方法进行了改进。结合2009年库区周边的ETM遥感影像、数字高程模型（DEM）和土地利用类型等数据,应用改进的USLE模型对库区周边非点源污染敏感区划分进行了实证研究。研究结果表明,库区西部的敏感性明显高于东部,库周的别山镇、五百户镇、渔阳镇、穿芳峪乡和马伸桥镇的水库沿岸是非点源污染敏感度较高的区域,是非点源污染的优先控制区。     

Two-dimensional habitat modeling of Chinese sturgeon spawning sites

Since the construction of the Gezhouba Dam in the 1980s, the number of Chinese sturgeon in the Yangtze River has been rapidly declining. The Gezhouba Dam has cutoff the migration path of these sturgeon, resulting in an overall reduction of suitable sturgeon habitat. This paper describes a habitat suitability index model that is used to evaluate the impacts of the Gezhouba Dam and Three Gorges Project on Chinese sturgeon spawning sites. Based on research concerning the reproduction characteristics of Chinese sturgeon, ten major ecological factors that influence reproduction were analyzed, including: water temperature, velocity, water depth, substrate, suspended sediment concentration, and the amount of egg predatory fish. The suitability index (SI) curves based on these ten ecological factors were obtained, and a habitat suitability function was developed. A two-dimensional mathematical model was also created to simulate and predict physical habitat situation (such as hydraulic, sediment, and substrate) of the Chinese sturgeon. By coupling the habitat suitability function and a two-dimensional mathematical model, a habitat suitability index model for Chinese sturgeon was established. The habitat suitability index model was validated by comparing measured data with predictions from the model. These comparisons showed that the computed results agreed well with the measured results, and the high calculated habitat suitability index (HSI) corresponded to high measured quantity of eggs per unit (1000 m³) discharge (CPUE_d). The calculated habitat suitability index for Chinese sturgeon also showed that the habitat suitability index was better in 1999, before the impoundment of the Three Gorges Project, compared with the habitat suitability in 2003. Simulation results of different discharges from Gezhouba Dam predicted that flow discharges between 10,000 and 30,000 m³/s were most suitable for sturgeon spawning.     

Neural network modeling of dissolved oxygen in the Gru?a reservoir, Serbia

The objective of this study is to develop a feedforward neural network (FNN) model to predict the dissolved oxygen in the Gru?a Reservoir, Serbia. The neural network model was developed using experimental data which are collected during a three years. The input variables of the neural network are: water pH, water temperature, chloride, total phosphate, nitrites, nitrates, ammonia, iron, manganese and electrical conductivity. Sensitivity analysis is used to determine the influence of input variables on the dependent variable. The most effective inputs are determined as pH and temperature, while nitrates, chloride and total phosphate are found to be least effective parameters. The Levenberg-Marquardt algorithm is used to train the FNN. The optimal FNN architecture was determined. The FNN architecture having 15 hidden neurons gives the best choice. Results of FNN models have been compared with the measured data on the basis of correlation coefficient (r), mean absolute error (MAE) and mean square error (MSE). Comparing the modelled values by FNN with the experimental data indicates that neural network model provides accurate results.     

Coalbed methane reservoir data and simulator parameter uncertainty modelling for CO2 storage performance assessment

Laboratory studies and a number of field pilots have demonstrated that CO₂ injection into coal seams has the potential to enhance coalbed methane (CBM) recovery with the added advantage that most of the injected CO₂ can be stored permanently in coal. The concept of storing CO₂ in geologic formations as a safe and effective greenhouse gas mitigation option requires public and regulatory acceptance. In this context it is important to develop a good understanding of the reservoir performance, uncertainties and the risks that are associated with geological storage. The paper presented refers to the sources of uncertainty involved in CO₂ storage performance assessment in coalbed methane reservoirs and demonstrates their significance using extensive digital well log data representing the Manville coals in Alberta, Canada. The spatial variability of the reservoir properties was captured through geostatistical analysis, and sequential Gaussian simulations of these provided multiple realisations for the reservoir simulator inputs. A number of CO₂ injection scenarios with variable matrix swelling coefficients were evaluated using a 2D reservoir model and spatially distributed realisations of total net thickness and permeability.     

大辽河流域上游非点源污染输出风险分析

为了解土地利用的组合方式对氮磷输出的影响,在广泛收集土地利用输出系数的基础上,基于遥感和GIS手段,分析了大伙房水库控制流域内营养物质氮磷的输出风险.结果表明,大伙房水库控制流域非点源污染输出的风险概率比较小,氮素和磷素的风险概率平均为19.31%和8.95%.但在空间分布上差异很大,风险概率高的地方一般在主要的河流附近,沿河流流向延伸.而其它区域的风险概率相对较低.此外,营养物质输出风险随着坡度不同差别比较大,而在行政区内差别不明显.     

三峡库区消落带湿地生态过程及生态安全分析—以开县澎溪河湿地自然保护区为例

三峡库区的生态安全与长江中下游的生态环境问题有着直接关系,同时也涉及整个长江流域的可持续发展。本文从库区蓄水后形成的消落带湿地入手,对三峡库区的国土安全、水安全和生物安全等进行分析。基于以上研究,本文提出一些建议,促使消落带湿地的保护及三峡库区生态安全得以保障。     

丹江口水库入库河流总氮通量监测

针对丹江口水库总氮超标问题,对作为主要集水区的汉库入库各河流进行了一整年的水量和水质同步监测。结果表明:(1)主要河流入汉库总氮量共24503t/a,湖北和陕西两省入库总氮量比例总体上与水资源量比例相当,其中,汉江干流上游陕西来水入库总氮量占68.2%,湖北主要支流包括十堰堵河(18%)、神定河(7%)、泗河(4%)、官山河(0.9%)、浪河(0.7%)剑河(0.5%)和天河(0.5%)。(2)入汉库总氮总量月变化与入库总水量变化一致,总氮入库量主要集中在5~9月,占全年的77%。(3)根据各河流水环境容量和纳污特征,可将入库河流划分为容量型、点源污染型、农业面源型和混合型等四种类型。建议对不同类型河流应采取不同控制对策,点面结合,综合防治。     

调水对大伙房水库水质及渔业生产的影响评估

评估了调水对大伙房水库水质、渔业生产、生物入侵的影响。结果表明：大伙房水库水质超过国家Ⅱ类水体标准的有总磷和总氮2项,分别超标24．3％和73．4％。桓仁水库水体中高锰酸盐指数和总氮分别超标2．4％和35．9％。说明桓仁水库上游存在农药、化肥等有机污染。桓仁水库水质好于大伙房水库。因此,调水后将降低目前大伙房水库总磷含量,改善水质。引水可能对大伙房水库渔业生产造成一些影响。采取科学措施可以防止大银鱼、池沼公鱼的生物入侵。