Network environmental analysis based ecological risk assessment of a naphthalene-contaminated groundwater ecosystem under varying remedial schemes

被引:15
作者
Wang, Zheng [1 ]
He, Li [1 ,2 ]
Lu, Hongwei [1 ]
Ren, Lixia [1 ]
Xu, Zongda [1 ]
机构
[1] North China Elect Power Univ, Sch Renewable Energy, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Network environmental analysis; Ecological risk; Naphthalene; Groundwater ecosystem; Remediation; SPECIES SENSITIVITY; DISTRIBUTED CONTROL; RIVER; MODEL; MANAGEMENT; UNCERTAINTY; PERSPECTIVE; SIMULATION; INDICATORS; FLOODPLAIN;
D O I
10.1016/j.jhydrol.2016.10.034
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Many of the existing ecological risk studies for groundwater ecosystems paid little attention to either small-scale regions (e.g., an industrial contamination site) or ignored anthropogenic activities (e.g., site remediation). This study presented a network environmental analysis based ecological risk assessment (ERA) framework to a naphthalene-contaminated groundwater remediation site. In the ERA, four components (vegetation, herbivore, soil micro-organism and carnivore) were selected, which are directly or indirectly exposed to the contaminated groundwater ecosystem. By incorporating both direct and indirect ecosystem interactions, the risk conditions of the whole ecosystem and its components were quantified and illustrated in the case study. Results indicate that despite there being no input risks for herbivores and carnivores, the respective integral risks increase to 0.0492 and 0.0410. For soil microorganisms, 58.8% of the integral risk comes from the input risk, while the other 41.2% of the integral risk comes from the direct risk. Therefore, the risk flow within the components is a non-negligible risk origination for soil micro-organisms. However, the integral risk for vegetation was similar to the input risk, indicating no direct risk. The integral risk at the 5-year point after remediation was the highest for the four components. This risk then decreased at the 10-year point, and then again increased. Results from the sensitivity analysis also suggest that the proposed framework is robust enough to avoid disturbance by parameter uncertainty. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:612 / 624
页数:13
相关论文
共 49 条
[1]   Using biological traits to predict species sensitivity to toxic substances [J].
Baird, Donald J. ;
Van den Brink, Paul J. .
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2007, 67 (02) :296-301
[2]   Quantitative Ecological Risk Assessment of the Magela Creek Floodplain in Kakadu National Park, Australia: Comparing Point Source Risks from the Ranger Uranium Mine to Diffuse Landscape-Scale Risks [J].
Bayliss, P. ;
van Dam, R. A. ;
Bartolo, R. E. .
HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2012, 18 (01) :115-151
[3]   TRANSPORT OF DISSOLVED HYDROCARBONS INFLUENCED BY OXYGEN-LIMITED BIODEGRADATION .1. THEORETICAL DEVELOPMENT [J].
BORDEN, RC ;
BEDIENT, PB .
WATER RESOURCES RESEARCH, 1986, 22 (13) :1973-1982
[4]  
CEPB (Chaohu Environmental Protection Bureau), 2013, SIT INV DAT AN GROUN
[5]   An ecological risk assessment model for a pulsed contaminant emission into a wetland channel flow [J].
Chen, G. Q. ;
Zeng, L. ;
Wu, Z. .
ECOLOGICAL MODELLING, 2010, 221 (24) :2927-2937
[6]   Information-based Network Environ Analysis: A system perspective for ecological risk assessment [J].
Chen, Shaoqing ;
Fath, Brian D. ;
Chen, Bin .
ECOLOGICAL INDICATORS, 2011, 11 (06) :1664-1672
[7]   Ecological network analyses and their use for establishing reference domain in functional assessment of an estuary [J].
Christian, Robert R. ;
Brinson, Mark M. ;
Dame, James K. ;
Johnson, Galen ;
Peterson, Charles H. ;
Baird, Daniel .
ECOLOGICAL MODELLING, 2009, 220 (22) :3113-3122
[8]  
Dale Virginia H., 2008, Integrated Environmental Assessment and Management, V4, P306, DOI 10.1897/IEAM_2007-066.1
[9]   Theoretically exploring direct and indirect chemical effects across ecological and exposure scenarios using mechanistic fate and effects modelling [J].
De laender, F. ;
Morselli, M. ;
Baveco, H. ;
Van den Brink, P. J. ;
Di Guardo, A. .
ENVIRONMENT INTERNATIONAL, 2015, 74 :181-190
[10]   Do we have to incorporate ecological interactions in the sensitivity assessment of ecosystems? An examination of a theoretical assumption underlying species sensitivity distribution models [J].
De Laender, Frederik ;
De Schamphelaere, Karel A. C. ;
Vanrolleghem, Peter A. ;
Janssen, Colin R. .
ENVIRONMENT INTERNATIONAL, 2008, 34 (03) :390-396