太湖不同湖区生态系统健康评价方法研究

基于长期的监测资料，计算了表征湖泊生态系统健康的系统能（Ex）、系统能结构（Exs1）和生态缓冲容量（｜β｜）指标，以及湖泊营养状态指数（Its）。结果表明，太湖不同湖区生态系统健康状况差异明显，1998-2001年太湖典型湖区健康状况由好到差的相对顺序为：东太湖、贡湖和湖心区、梅梁湾、五里湖。在此基础上，提出了富营养化浅水湖泊生态系统健康指标阈值和湖泊系统能量健康指数（IEx）及其健康状况分级。经2002、2003年太湖不同湖区实测检验表明，所提出的湖泊系统能量健康指数及其健康状况分级适用于评价太湖不同湖区生态系统健康的区域分异状况。     

青海湖生态系统健康评价

生态系统健康是一个新概念。对湖泊生态系统来说，目前尚没有统一的评价指标和评价方法。利用Xu等(1999)提出的指标体系对青海湖1988—1989年的生态系统健康状况进行评价。结果表明：青海湖生态系统健康在秋季最好，其次为夏季和春季，冬季最差。该结果客观地反映了青海湖的实际情况。     

生态系统健康评价研究进展

介绍了生态系统健康概念的发展状史以及生态系统健康学的主要研究内容，阐述了生态系统健康评价与环境管理的关系，建立了生态系统健康评价指标体系。     

生态系统健康评价及其问题

讨论了生态系统健康的概念及内涵，指出了生态系统健康评价中存在的主要问题，最后对今后生态系统健康评价的研究方向作了展望。     

丹江口水库生态系统健康综合评价

2007年7月～2008年5月按季度对丹江口水库4个库区(丹江库区、汉江库区、取水口和五青入库区)的水环境和浮游生物进行了调查,采用生态系统健康指数(EHI)法和营养状态指数(TSI)法对该水库的生态系统健康状态进行定量的综合评价.结果表明:2007年7月～2008年5月,丹江口水库整体处于中营养状态,健康状态中等,健康状态总趋势是丹江库区>取水口>汉江库区>五青入库区;各库区生态系统健康状态存在季节性差异,丹江库区、取水口两库区全年为中等,汉江库区在夏季为较差,其它季节中等,五青入库区在冬季最差,其它季节较差.此外,对两种评价方法进行了比较,表明丹江口水库属于响应型生态系统,生态系统健康指数(EHI)适用于丹江口水库生态系统健康的评价.     

土地生态系统健康研究的主要内容及面临的问题

生态系统健康研究是资源环境可持续利用研究中的一个热点。在归纳土地生态系统具有尺度的宏观性、对象的地域性、空间的开放性和动态性、问题的复杂性等特征的基础上，提出了开展土地生态系统健康研究的内容应包括土地生态系统健康的机理、评价和管理等三个主要方面。结合我国的土地资源状况，指出我国开展土地生态系统健康研究面临着包括人口密度过大，土地资源压力大；我国地域辽阔，气候类型多样，社会经济区域发展不均衡，全国各地土地生态系统的区域分异性很强等主要问题。     

农村生态系统健康的基本内涵及评价体系探索

生态系统健康是研究人类活动、社会经济组织、自然系统和人类健康的综合性学科,是人类社会可持续发展的保证,国内外对不同类型的生态系统健康进行了大量研究,指出生态系统健康是在时间上具有维持其组织结构、自我调节和对胁迫受损的恢复能力,实现生态系统的稳定性和可持续性.农村生态系统是一类自然一人工复合生态系统,在综合分析农业生态系统健康和城市生态系统健康概念的基础上,提出农村生态系统是指在不同区域范围的农村地域内,不同类型生态系统间的相互能量关系,以及农村人群和周围环境的相互影响与相互作用的总和.农村生态系统健康是指农村生态系统能够实现农村环境健康目标、生态系统活力目标、农业生产与乡镇企业发展目标,并具有一定的自我调节和对胁迫受损的恢复能力.通过分析已有生态系统健康评价所采用的指标体系,结合农村生态系统的特性,研究构建了由环境健康目标、生态系统活力目标和功能目标组成的农村生态系统健康评价的框架体系,以期明确农村生态系统健康的内涵,为开展评价研究建立初步基础.     

基于RS和GIS的生态系统健康评价

生态系统健康评价可以认识区域生态系统健康状况、识别生态环境问题,为制定科学的生态保护对策提供依据,对提高可持续发展和环境管理具有重要的指导作用。文章由压力-状态-响应（P-S-R）概念模型建立了生态系统健康评价指标体系和评价模型,运用RS和GIS技术及统计学分析法,形成程序化、系统化的生态系统健康评价技术方法体系,并以高平市为案例,运用定量的方法对其生态系统健康进行综合评价及分级研究,通过对压力、状态、响应评价结果及健康综合评价结果的分析,结合高平市生态系统健康的自然条件状况与人类活动影响,探讨了影响区域健康的因素,为高平市资源的合理利用与保护提供科学依据。结果表明该技术对生态系统健康评价是切实可行的。     

底栖动物在水生生态系统健康评价中的作用分析

从生态系统健康的概念入手,通过对生态系统健康评价方法的研究和分析,对底栖动物尤其是大型底柄无脊椎动物在生态系统健康评价中的作用进行了分析和总结.生物监测法和多指标评价法是水生态系统健康评价的主要手段,而利用指示物种、预测模型和底柄生物的完整性指数等多种方法可以对水生态系统健康进行快速和准确的评价.如何完善底栖动物在生态系统健康评价中的作用并综合运用其他评价技术,以及结合评价结果对受损水生态系统进行生态修复和重建将是这一领域未来研究的重点所在.     

Human health ambient water quality criteria for 13 heavy metals and health risk assessment in Taihu Lake

• The concentrations of 13 heavy metals in Taihu Lake were analyzed. • Aquatic vegetables intake was first included in deriving human health AWQC. • The human health AWQC for 13 heavy metals in Taihu Lake were derived. • Human health risk assessment for 13 heavy metals were conducted in Taihu Lake. Heavy metals are widely concerning because of their toxicity, persistence, non-degradation and bioaccumulation ability. Human health ambient water quality criteria (AWQC) are specific levels of chemicals that can occur in water without harming human health. At present, most countries do not consider the effects of aquatic vegetables in deriving human health AWQC. Therefore, the intake of aquatic vegetables (Brasenia schreberi) was added to the derivation of human health AWQC and a health risk assessment for 13 heavy metals in Taihu Lake. The human health AWQC (consumption of water, fish and aquatic vegetables) values of 13 heavy metals ranged from 0.04 (Cd) to 710.87 μg/L (Sn), and the intake of B. schreberi had a very significant effect on the human health AWQC for Cu, with a more than 62-fold difference. The hazard quotients of As (2.8), Cd (1.6), Cr (1.4) and Cu (4.86) were higher than the safe level (HQ= 1), indicating that As, Cd, Cr and Cu in Taihu Lake posed a significant health risk. Sensitivity analysis showed that the contribution rate of B. schreberi intake to the human health risk from Cu was 91.6%, and all results indicated that the risk of Cu in B. schreberi to human health should be of particular concern. This study adds the consideration of aquatic vegetable consumption to the traditional method of human health AWQC derivation and risk assessments for the first time, and this approach can promote the development of risk assessments and water quality criteria.     

Ecological risk assessment of pesticide residues in Taihu Lake wetland, China

As a major ecosystem type, wetland provides invaluable ecological services. Environmental pollution, especially pesticides pollution should be paid more attention to keep wetlands healthy. Based on the risk quotient method, coupled with a probabilistic risk assessment model, this paper proposed a methodology suitable for ecological risk assessment of pesticide residues for wetland ecosystems. As an important industrializing and ecologically vulnerable area in China, the Taihu Lake wetland was chosen for the case study. The risks of eight pesticides in Taihu Lake wetland were assessed, as single substances and in mixtures. The assessment indicates that risks of the representative species are not significant. In general, the herbicide is found to be more toxic for algae, whereas insecticides pose more risks to zooplankton, insect and fish. For each pesticide in the wetland, the ecological risk it poses is acceptable. But the combined ecological risk posed by mixture can harm more than 10% of species of the wetland ecosystem, mainly dominated by dichlorvos, dimethoate and malathion contributions. These results imply that pesticide residues have been posing pressures on the ecosystem of the Taihu Lake wetland. It is recommended that proper countermeasures should be implemented to reduce the risks.     

应用物种敏感性分布法分析太湖及天目湖水体的生态风险

采用物种敏感性分布法(SSDs法),应用水生生物急性和慢性毒性数据计算了31种污染物在水中和其中疏水物质在沉积物中的预测无效应浓度(PNECwater和PNECsed),通过收集以往报道的16种污染物在太湖和天目湖的环境浓度,用商值法求得物质的风险商并进行排序.结果发现:蒽、菲、萘、荧蒽、阿特拉津和马拉硫磷在太湖的梅梁湾和五里湖具有很大的生态风险;毒死蜱、三丁基锡氧化物和环己锡虽无环境浓度报道但很有可能具有风险.     

太湖水体中5种有机磷农药混合物生态风险评价

有机磷农药是一类广泛分布于我国水环境中的污染物,即使在水体中的污染水平处于规定“安全标准”之下,其联合暴露产生的风险仍有可能威胁水生生态安全。采用基于浓度加和模型与生物敏感度分布曲线的混合物风险商法,评价了太湖水体中敌敌畏、对硫磷、甲基对硫磷、马拉硫磷和乐果5种有机磷农药混合物产生的生态风险。结果表明：2003～2004年期间3个不同时期太湖水体中5种有机磷农药的混合物生态风险商(RQ_m )均大于1,有机磷农药混合物在2003～2004年期间对太湖水生生物构成了一定威胁。     

Mercury distribution,speciation and potential ecological risk assessment in sediments from Lake Taihu,China

Abstract

Twenty-one surface sediments collected from seven surroundings areas of Lake Taihu in two different years were analyzed for total mercury (THg) concentrations, physicochemical characteristics and speciation using a sequential extraction method to assess spatial distribution, sources, and potential ecological risk. Surface sediments from Lake Taihu contained elevated levels of Hg in two sampling years with THg levels ranging from 77 to 346?ng/g (mean 145?ng/g) in October 2010 and ranging from 122 to 573?ng/g (mean 266?ng/g) in November 2012, respectively. The mean THg concentrations in all studied surface sediments exhibited an increasing trend over time. The oxidizable fraction (F3) and residual fraction (F4) were the predominant Hg species in sediments, while more mobile Hg phases of acid-soluble fraction (F1) and reducible fraction (F2) made up less than 0.5% THg. Significant relationships were found between total organic carbon (TOC) and THg and geochemical speciation indicating an important role for organic matter in affecting distribution, mobility, and bioavailability of Hg in sediments. As evidenced by Hakanson’s potential risk index the total ecological risk of Hg was low in the entire Lake Taihu in 2010 but considered moderate in Zhushan Bay, West Coast, and Meiliang Bay in 2012. These findings provide conservation managers with information needed to more effectively regulate the environment of Lake Taihu.     

普萘洛尔在太湖沉积物上的吸附特征

主要研究了pH、离子强度、腐殖酸和沉积物有机质对普萘洛尔在太湖沉积物上吸附行为的影响.结果表明,沉积物对普萘洛尔具有一定的吸附能力.在强酸环境下,由于H+与带正电荷的普萘洛尔之间的竞争作用使得普萘洛尔的吸附量较小,随着pH的增大,吸附量逐渐增大至基本稳定,但当pH＞9时,吸附量明显下降.K+、Na+和Ca2+的存在会减...     

DDT对太湖大银鱼种群危害的生态风险

DDT作为难降解、高脂溶性的污染物,对湖泊水生生态有重要影响。该研究选择太湖大银鱼(Protosalanx hylocranius(Abbott))种群为研究对象,通过分析大银鱼在整个生命周期富集DDT的过程,结合相关的毒理学研究成果,分析DDT富集对大银鱼各生长阶段种群存活率的影响;并在此基础上,应用Lesile矩阵模型分析DDT富集对大银鱼种群规模的影响,研究结果表明,当太湖水体DDT浓度为9.3μg.L-1时,随着DDT在大银鱼体内的富集以及由此导致的毒性效应的影响,大银鱼种群规模在一个生命周期内减少6.39%,其影响较为显著。虽然具体的定量过程受到一些不确定性因素,如水体污染物浓度、剂量-反应关系等的影响,模拟准确度有待进一步提高,但本研究同样也为湖泊水生生态风险的细化提供了有益的尝试。