淡江大學機構典藏:Item 987654321/44713
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62079/94651 (66%)
Visitors : 1639627      Online Users : 12
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/44713


    Title: Quantitative Methods for Effluent Control
    Authors: 張保興;Chang, Pao-hsing
    Contributors: 淡江大學水資源及環境工程學系
    Keywords: monitor;likelihood function;effluent standard;inspection
    Date: 1995-10-01
    Issue Date: 2010-03-26 16:54:19 (UTC+8)
    Publisher: London: Academic Press
    Abstract: Water quality data from stream monitoring stations and from factory inspections can be useful for the enforcement of effluent standards. Two quantitative methods are proposed. The first method, the Maximum Likelihood Method (MLM), uses the maximum likelihood principle and formulates the problem into a nonlinear mathematical program. The optimal solution gives the dischargers» most probable effluent concentrations. The second method, the Resources Limited Weight Method (RLWM) is more realistic, because a fixed number of enforcement resources are considered over a certain time period. The RLWM selects none, one, or several dischargers from among the suspected dischargers generated by MLM. The two methods have been proved effective in computer simulations.
    Relation: Journal of environmental management 45(2), pp.199-203
    DOI: 10.1006/jema.1995.0068
    Appears in Collections:[Graduate Institute & Department of Water Resources and Environmental Engineering] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML316View/Open
    Quantitative Methods for Effluent Control.pdf69KbAdobe PDF1View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback