摘要
湖泊富营养化与有机污染物的交互作用是当前国内外研究热点,为了建立富营养化湖泊中多环芳烃(PAHs)生态效应与底栖藻类群落之间的相关关系。本研究以白洋淀为研究区,选取8个国控样点作为采样点,依据人为干扰程度不同将8个采样点划分为3种生境:生境1(S1和S2)主要遭受上游府河废水排放影响;生境2(S3、S6和S8)主要遭受水产养殖和生活污水的影响;生境3(S4、S5和S7)遭受人为干扰较小。分别在2009年4月、8月和11月收集了底栖藻类样品,并测定了白洋淀中15种PAHs。运用RQ_((NC))和RQ_((MPC))等改进风险熵值(RQ)方法计算PAHs生态风险。研究结果表明:(1)底栖藻类群落指标AD、Chl a、Chl b/a、CHL、CYA、APA、GLU、LEU、PSC和AFDW的值在11月最高,其次是8月和4月;就空间分布而言,这些指标值在生境1中最高,其次是生境2和生境3;而Chl c/a和BAC值在8月最高,其次是11月和4月,从空间分布特征而言,这些指标值在生境3最高;(2)相关分析结果表明,Chl a、Chl b/a、CHL、CYA、APA、GLU、LEU、PSC和AFDW的指标与PAHs污染物浓度呈显著正相关,而Chl c/a和BAC指标与污染物PAHs浓度呈显著负相关;(3)就空间分异特征而言,生境1中的ΣPAHs浓度最高,就季节变化而言,PAHs的浓度从4月到8月逐渐增加,而从8月到11月逐渐下降。各类PAHs表现出与ΣPAHs相同的时空变化特征;(4)IBR与RQ_(ΣPAHs(NCs))呈正相关关系(r=0.827,P<0.01);除RQAcy(NCs)外,其他种类PAHs生态风险均与IBR呈相正相关关系(r=0.699~0.899),其中RQ_(BaP(NCs))与IBR显著正相关(r=0.899,P<0.01)。此外,除沉积物TP外,IBR与TSI、水中TN、水中TP和沉积物TN也呈显著正相关(r=0.722~0.862)。因此,在富营养化湖泊中应考虑运用底栖藻类IBR生态监测PAHs污染水平。
With the aim of evaluating the correlation relationship between polycyclic aromatic hydrocarbons（PAHs） pollution and the Integrated Biomarker Response（IBR） for periphyton community,we carried out samplings of eight sites of three anthropogenic disturbance levels located in the Lake Baiyangdian that include sites strongly influenced by wastewater discharge（ Sites 1 and 2）,sites influenced by aquaculture and densely populated villages（ Sites 3,6,and 8）,and sites influenced the least by human disturbances（ Sites 4,5,and 7）. Periphyton communities were studied in eight sample sites,and 15 PAHs were simultaneously determined. The results showed that：（1） from the aspect of seasonal variation for periphyton community,the maximum value for AD,Chl a,Chl b/a,CHL,CYA,APA,GLU,LEU,PSC and AFDW appeared in November,followed by August and April; from the aspect of spatial distribution,the maximum value for these metrics showed in Habitat 1; while for the Chl c/a and BAC metrics,the maximum value for these two metrics appeared in August,followed by November and April; from the spatial distribution aspect,the maxium value for these two metrics showed in Habitat 3;（ 2）through correlation analysis,the results showed that Chl a,Chl b/a,CHL,CYA,APA,GLU,LEU,PSC and AFDW were significantly positively correlated with PAHs concentration; while the Chl c/a and BAC were significantly negatively correlated with PAHs concentration;（3） for the aspect of spatial distribution,the maximum concentration of ΣPAHs appeared in Habitat 1,and it is related to the level of human disturbance; for the aspect of seasonal variation,the concentration of PAHs increased from April to August,then decreased from August to November,and the variation tendency was similar with each kind of PAHs;（ 4） IBR was positively correlated with RQ_（ΣPAHs（NCs））（r= 0.827,P0.01）; except RQ_（Acy（ NCs））,the ecological risk of other PAHs were positively correlated with IBR（ r = 0.699-0.899）,thereinto,the RQ_（BaP（ NCs）） was significantly positively correlated with IBR（ r = 0.899,P 0.01）. In addition,except TP in sediment,IBR were significantly positively correlated with TSI,TN in water,TN in sediment,and TP in water（ r = 0. 722-0. 862）. Our results suggest that the IBR for periphyton community would be used in biomonitoring for PAHs pollution in the eutrophic shallow lake.
作者
秦珊
张璐璐
崔建升
李双江
Qin Shan;Zhang Lulu;Cui;Jiansheng;Li Shuangjiang(School of Environmental Science and Technology,Hebei University of Science and Technology,Shijiazhuang 050018,China;The Biological Technology Laboratory for Pollution Control in Hebei Province,Shijiazhuang 050018,China)
出处
《生态毒理学报》
CAS
CSCD
北大核心
2018年第4期68-82,共15页
Asian Journal of Ecotoxicology
基金
国家自然科学基金项目(41601547)
国家重点基础研究发展计划(2015CB458900)
河北省自然科学基金(D2017208003)
河北省高等学校青年拔尖人才项目(BJ2017013)
