Calculation of environmental concentration and comparison of output for existing chemicals using regional multimedia modeling

被引:7
|
作者
Kawamoto, K
Park, KA
机构
[1] Natl Inst Environm Studies, Res Ctr Mat Cycles & Waste Management, Tsukuba, Ibaraki 3058506, Japan
[2] Kanto Gakuin Univ, Grad Sch, Kanazawa Ku, Yokohama, Kanagawa 2368501, Japan
关键词
existing chemicals; multimedia model; prediction; PRTR; exposure;
D O I
10.1016/j.chemosphere.2005.09.006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The environmental fate of 40 existing chemicals is discussed using the EUSES multimedia distribution and risk assessment model with site-specific parameter setting in an urban area of Japan including a highly industrial region. There has been a strong need to assess the environmental fate of a huge number of existing chemicals. Data on the emission amounts of chemicals are essential for such prediction, and PRTR surveys may yield this data. The study delivered the following results: (1) Volatile compounds with large amounts of emission showed higher predicted concentrations in air, and the concentrations of several compounds agreed well with averaged monitoring data within an order of magnitude. (2) A close relationship was found between the concentration of water and that of sediment, suggesting that the fate of chemicals in sediment essentially depended on the water environment. (3) A group of volatile solvents had high mass distribution ratio to air. Some compounds having high solubility in water were also included in that group due to the high ratio of air emission. Highly hydrophobic compounds with logK(OW) larger than 6.0 showed a high distribution ratio to soil and sediment. (4) Volatile compounds were mostly taken through air. The exposure through fish is a dominant pathway for highly hydrophobic compounds. (5) Exposure ratio could be gathered from physicochemical properties. The exposure from fish intake was roughly estimated by logK(OW), whereas exposure from air and water intake was difficult to estimate simply by vapor pressure and solubility in water, respectively. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1154 / 1164
页数:11
相关论文
共 50 条
  • [1] DYNAMIC PARTITIONING OF ORGANIC-CHEMICALS IN REGIONAL ENVIRONMENTS - A MULTIMEDIA SCREENING-LEVEL MODELING APPROACH
    COHEN, Y
    TSAI, WT
    CHETTY, SL
    MAYER, GJ
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1990, 24 (10) : 1549 - 1558
  • [2] Features of Using the Existing Regional Charging Infrastructure in the Transition To Environmental Transport
    Anisimov, I. A.
    Gorbunova, A. D.
    ALL-RUSSIAN RESEARCH-TO-PRACTICE CONFERENCE ECOLOGY AND SAFETY IN THE TECHNOSPHERE: CURRENT PROBLEMS AND SOLUTIONS, 2020, 543
  • [3] A COMPARISON OF ANNUAL AND BENCHMARK INPUT-OUTPUT TABLES IN REGIONAL ECONOMIC MODELING
    STOVER, ME
    ANNALS OF REGIONAL SCIENCE, 1994, 28 (02): : 223 - 228
  • [4] Intraocular lens power calculation in the elderly population using the Kane formula in comparison with existing methods
    Reitblat, Olga
    Gali, Helena E.
    Chou, Linda
    Bahar, Irit
    Weinreb, Robert N.
    Afshari, Natalie A.
    Sella, Ruti
    JOURNAL OF CATARACT AND REFRACTIVE SURGERY, 2020, 46 (11): : 1501 - 1507
  • [5] Modeling energy inputs to predict pedogenic environments using regional environmental databases
    Rasmussen, C
    Southard, RJ
    Horwath, WR
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2005, 69 (04) : 1266 - 1274
  • [6] A regional numerical environmental multimedia modeling approach to assess spatial Eco-Environmental exposure risk of perfluorooctane sulfonate (PFOS) in the Pearl river basin
    Chen, Zhi
    Dong, Jinxin
    Asif, Zunaira
    ENVIRONMENT INTERNATIONAL, 2022, 161
  • [7] A regional spatial environmental multimedia modeling (RSEMM) approach for assessing the risk of antibiotics in river basin system - a China case study
    Dong, JinXin
    Chen, Zhi
    Wang, Qingyuan
    Guo, Jianbo
    Pu, Yunhui
    Han, Yi
    Xia, Jun
    Haghighat, Fariborz
    SUSTAINABLE CITIES AND SOCIETY, 2019, 50
  • [8] Modeling longevity risks using a principal component approach: A comparison with existing stochastic mortality models
    Yang, Sharon S.
    Yue, Jack C.
    Huang, Hong-Chih
    INSURANCE MATHEMATICS & ECONOMICS, 2010, 46 (01): : 254 - 270
  • [9] Comments on "Modeling Energy Inputs to Predict Pedogenic Environments Using Regional Environmental Databases"
    Field, Damien J.
    Minasny, Budiman
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2008, 72 (03) : 858 - 859
  • [10] Statistical comparison of forecast meteorology with observations using the regional atmospheric modeling system
    Buckley, RL
    Weber, AH
    Weber, JH
    16TH CONFERENCE ON PROBABILITY AND STATISTICS IN THE ATMOSPHERIC SCIENCES, 2002, : 55 - 60