A study on the accumulation of nine heavy metals in some important fish species from a natural reservoir in Riyadh,Saudi Arabia

Concentrations of nine heavy metals (Cr, Cd, Pb, Ni, Cu, Zn, Mn, As, and Fe) in the muscles of four fish species (O. niloticus, C. gariepinus, P. latipinna, and A. d. dispar) collected from the Riyadh River were detected using atomic absorption spectrophotometry in two different seasons in 2012. The concentrations of the studied heavy metals except Cd, Pb, Ni, and Cu in Aphanius d. dispar and Poecilia latipinna were found to be below the safe limits suggested by various authorities. This study also showed that Zn was predominant, while Cr was least accumulated metal in the studied fish muscles. Data demonstrated that there was a significant variation in the heavy-metal concentrations in different fish species in the Riyadh River. Significant positive correlations between heavy-metal concentrations in fish muscles were also found both in pre- and post-monsoon seasons. Metal pollution index was calculated to distinguish polluted from unpolluted ecosystems based upon current knowledge of metal bioavailability, bioconcentration, and bioaccumulation patterns. From the human health point of view, this study showed that there was a possible health risk to consumers due to the intake of Aphanius d. dispar and Poecilia latipinna under the current consumption rate in the country.     

Contribution of national bioassessment approaches for assessing ecological water security: an AUSRIVAS case study

River managers in Australia are managing in the face of extremes to provide security of water supply for people, production and the environment. Balancing the water requirements of people, environments and economies requires that water security is viewed holistically, not just in terms of the water available for human consumption. Common definitions of water security focus on the needs of both humans and ecosystems for purposes such as drinking, agriculture and industrial use, and to maintain ecological values. Information about achieving water security for the environment or ecological purposes can be a challenge to interpret because the watering requirements of key ecological processes or assets are not well understood, and the links between ecological and human values are often not obvious to water users. Yet the concepts surrounding river health are inherently linked to holistic concepts of water security. The measurement of aquatic biota provides a valuable tool for managers to understand progress toward achieving ecological water security objectives. This paper provides a comprehensive review of the reference condition approach to river health assessment, using the development of the Australian River Assessment System (AUSRIVAS) as a case study. We make the link between the biological assessment of river health and assessment of ecological water security, and suggest that such an approach provides a way of reporting that is relevant to the contribution made by ecosystems to water security. The reference condition approach, which is the condition representative of minimally disturbed sites organized by selected physical, chemical, and biological characteristics, is most important for assessing ecological water security objectives.     

阜阳城区水体浮游动物群落周年结构特征及其与水质的关系

于2011年3月到2012年2月逐月对阜阳城区几条主要河流：颍河（A）、泉河（B）、西城河（C）、东城河（D）、南城河（E）、西清河（F）、中清河（G）、东清河（H）及三角洲（I）水体进行设点采样,研究各水体浮游动物的结构特征及多样性水平,并分析了各水体浮游动物的生物量与相应水体主要水质指标的相关关系。结果表明：浮游动物密度在各水体一年中出现两个高峰,分别在4—5月和10月,生物量也有两个高峰,分别比相应密度高峰晚一个月左右;这些高峰与水质指标具有相伴关系;各水体浮游动物生物量与相应水体主要水质指标（CODCr,、BOD、DO、TP、NH。-N）具有显著的相关关系。因此,阜阳城区各水体浮游动物生物量与水体污染程度有一定关系,可根据浮游动物生物量来判别相应水体水质,但鉴于水生态环境的复杂性,在监测水质时,其它生物因子也应综合考虑。     

广州市流溪河流域白云区段生态系统服务价值的估算与分析

在分析流溪河流域白云区段生态系统的景观变化和生态环境现状的基础上,依据流溪河流域白云区段的土地详查数据(1993年)及其土地利用变更调查数据(2001年末),引用Constanza等对全球生态系统服务单位公顷价值的平均估算结果,对流溪河流域白云区段生态系统服务价值进行评估。评估结果表明:2001年流溪河流域白云区段生态系统服务的总价值为85190050.43美元,折合人民币70700.75万元,相当于该区域同期GDP的6.22%。由于存在影响核算结果准确性的一些因素,因此,该结果是粗略与保守的估算。     

太湖流域漕桥河污染物来源特征

基于对太湖流域漕桥河小流域主要污染物来源构成和污染特征的分析,对污染物入河量进行了计算和修正. 结果表明:漕桥河的COD_Cr入河总量为1 639.9 t/a,主要来源于工业污染和城镇生活污染;氨氮入河总量为174.6 t/a,主要来源于农业面源和工业污染;总氮和总磷入河总量分别为491.0和34.7 t/a,主要来源于农业面源和城镇生活污染. 同时,针对河网地区水系错综复杂的特性,将客水污染纳入污染源范畴,核定客水量,为有效改善河流水环境质量提供了依据.      

Field experiment on biological contact oxidation process to treat polluted river water in the Dianchi Lake watershed

In this study two types of biological contact oxidation processes (BCOP), a step-feed (SBCOP) unit and an inter-recycle (IBCOP) unit, were designed to investigate the treatment of heavily polluted river water. The Daqing River, which is the largest pollutant contributor to the Dianchi Lake, one of the most eutrophic freshwater lakes in China, was taken for the case study. It was found that the SBCOP had higher adaptability and better performance in the reduction of COD, TN, and TP, which made it applicable for the treatment of polluted river water entering the Dianchi Lake. Nitrification rate was observed to be greatly affected by the influent temperature. During each season, the nitrification in the SBCOP was higher than that in the IBCOP. TN removal efficiency in the SBCOP was higher than that in the IBCOP during the winter and spring but poorer during the summer, possibly due to the inhibition of denitrification by higher dissolved oxygen level in the summer. Moreover, symbiotic algaebacteria growth may be conducive to the removal of pollutants.     

三峡库区次级支流梁滩河底泥重金属污染调查及评价

文章研究的梁滩河属于长江的二级支流。通过对梁滩河白市支流的采样,用电感耦合等离子体发射光谱法分析土样,参照国家《土壤环境质量标准》(GB15618-1995)二级标准,采用单因子污染指数法和内梅罗(N.L.Nemerow)多因子综合污染指数法分析评价了梁滩河两岸淤泥中重金属元素Cu、Zn、Cr、Ni、As和Pb的含量。结果表明:梁滩河从上游到下游,Cr和As含量有增加的趋势,但基本未超过国家土壤二级标准,而和全国背景值相比,Cu略有超标,Zn含量明显超标,有的地方Zn含量甚至超标5倍之多。总体上梁滩河白市支流两岸土壤,处于重庆市白市驿镇地区重金属污染较轻,含谷镇地区重金属污染较为严重。     

平原感潮河网地区不同土地利用下营养盐迁移特征

分别在南通平原河网地区选择典型非圩区开展野外原位试验,用野外观测和室内分析相结合的方法,研究平原非圩区典型试验小区不同土地利用下营养盐在自然降雨—径流驱动下迁移的时空分布特征.结果表明,导致营养盐迁移时空分布存在显著差异的主要原因为不同的土地利用类型、施肥条件及植被覆盖度等,不同土地利用下的径流量差异是导致营养盐迁移通...     

应用B-IBI和UAV遥感技术评价辽河上游生态健康

采用B-IBI(benthic index of biotic integrity,底栖动物完整性指数)结合UAV(unmanned aerial vehicle,无人机)遥感技术,对辽河保护区干流上游河流生态系统健康进行评价. 根据16个采样点的UAV遥感正射影像、水质参数、水体理化指标和土地利用类型等信息,从中筛选出4个采样点作为参照点,其余为受损点;通过分布范围、判别能力和相关性分析,从32个候选生物指标中筛选出6个核心指标,包括总分类单元数、摇蚊分类单元数、寡毛类分类单元数、敏感类群、前3位优势分类单元和均匀度指数. B-IBI评价结果显示,辽河干流上游处于健康(B-IBI>3.90)的河段占0.82%,亚健康(2.93相似文献   

Assessment of heavy metal pollution and health risks in a main river in Huayuan County,Xiangxi, Hunan Province北大核心CSCD

To study heavy metal pollution and assess the health risk of river water in Huayuan County, Xiangxi, Hunan Province, 11 water samples were collected from the Huayuan River and Brother Rivers in August and December 2016. Heavy metal (Pb, Zn, Cr, Cu, Fe, and Ni) concentrations were determined from the samples. The health risk assessment model recommended by the U.S. Environmental Protection Agency (USEPA) was applied to assess the health risk of heavy metals in the main surface waters of Huayuan County. The results indicated that the concentrations of heavy metals (Pb, Zn, Cr, Cu, Fe, and Ni) of surface water in the research area were 2.57 × 10-3, 4.66 × 10-4, 1.65 × 10-3, 6.27 × 10-4, 0.19, and 8.50 × 10-4 mg/L, respectively. The health risk of surface waters with heavy metals was high. Therefore, the chemical carcinogenic substance (Cr) health risk index was five or six times higher than that of chemical non-carcinogens (Pb, Zn, Cu, and Ni). The average health risk indices of non-carcinogenic substances were in the order Pb > Cu > Zn > Ni. The correlation and principal component analysis of surface water showed that the six heavy metal elements were composed of three main components in the main surface waters of the county. The first principal component was comprised of Fe and Ni (33.28%), which was mainly from internal pollution. The second component was comprised of Cu and Cr (26.98%), which was primarily due to industrial waste water, rainwater leaching mineral waste produced by heavy metal mining, and smelting enterprises. The third component, resulting from geochemical pollution, was Zn (17.10%). The health risk indices triggered by heavy metal in surface waters was high. Heavy metal pollutants in the research area need to be controlled in the order Cr, Pb, Cu, Zn and Ni. © 2018 Science Press. All rights reserved.