YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-5 of 5

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Modeling the Relationship between Capillary Suction Time and Specific Resistance to Filtration 

    Source: Journal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 009
    Author(s): Ola Sawalha; Miklas Scholz
    Publisher: American Society of Civil Engineers
    Abstract: The capillary suction time (CST) and the specific resistance to filtration (SRF) tests are both commonly used to estimate sludge dewaterability. Both tests are known to be empirically related but the SRF is much more ...
    Request PDF

    Modeling of Dissolved Oxygen Applying Stepwise Regression and a Template-Based Fuzzy Logic System 

    Source: Journal of Environmental Engineering:;2014:;Volume ( 140 ):;issue: 001
    Author(s): Mohammad Zounemat-Kermani; Miklas Scholz
    Publisher: American Society of Civil Engineers
    Abstract: This paper develops a template-based fuzzy inference system (TFIS) capable of simulating the dissolved oxygen (DO) concentration of an example stream by using daily data (2009–2012). Stepwise regression (SR) analysis and ...
    Request PDF

    Artificial Neural Network Simulation of Combined Permeable Pavement and Earth Energy Systems Treating Storm Water 

    Source: Journal of Environmental Engineering:;2012:;Volume ( 138 ):;issue: 004
    Author(s): Kiran Tota-Maharaj; Miklas Scholz
    Publisher: American Society of Civil Engineers
    Abstract: Artificial intelligence techniques, such as neural networks, are modeling tools that can be applied to analyze urban runoff quality issues. Artificial neural networks are frequently used to model various highly variable ...
    Request PDF

    Statistical Modeling of Contaminants Removal in Mature Integrated Constructed Wetland Sediments 

    Source: Journal of Environmental Engineering:;2012:;Volume ( 138 ):;issue: 010
    Author(s): Yu Dong; Miklas Scholz; Rory Harrington
    Publisher: American Society of Civil Engineers
    Abstract: Multiple regression models, principal component analysis, redundancy analysis, and the self-organizing map (SOM) model were applied to assess the effects of physico-chemical parameters on the treatment performance of ...
    Request PDF

    Case Study: Design and Operation of Sustainable Urban Infiltration Ponds Treating Storm Runoff 

    Source: Journal of Urban Planning and Development:;2006:;Volume ( 132 ):;issue: 001
    Author(s): Jinghui Zheng; Hassan Nanbakhsh; Miklas Scholz
    Publisher: American Society of Civil Engineers
    Abstract: Combined wetlands and infiltration ponds are cost-effective ‘end of pipe’ drainage solutions that can be applied for local source control as part of urban development and regeneration. The aims of this case study were to ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian