Development of settlement model for post closure monitoring of payatas dumpsite / Delino Gonzales Cubacub

By: Material type: TextTextPublication details: Manila : National University, 2015Description: xi, 70 leaves : illustrations; 28 cmLOC classification:
  • GST COE MSSE .C83 2015
Contents:
Title Page -- Approval Sheet -- Acknowledgement -- Dedication -- Abstract -- Table of Contents -- List of Tables -- List of Figures -- Chapter 1: The Problem and its Setting -- Chapter 2: Review of Related Literature and Studies -- Chapter 3. Research Design and Methodology -- Chapter 4. Presentation, Analysis and Interpretation -- Chapter 5. Summary, Conclusions and Recommendations -- Bibliography -- Appendices -- Curriculum Vitae .
Summary: The research covers the integration of regression analysis of the SLF Settlement Mechanism into Statistical Methods to draw probabilistic results and conclusions to incorporate in the post closure monitoring scheme of Payatas SLF as the primary area of this study.
Item type: Thesis
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Thesis Thesis National University - Manila LRC - Graduate Studies Thesis Master of Science in Sanitary Engineering GST COE MSSE .C83 2015 (Browse shelf(Opens below)) c.1 Available GSTHE000000466

Research Method: Descriptive Design.

Includes bibliographical references.

Title Page -- Approval Sheet -- Acknowledgement -- Dedication -- Abstract -- Table of Contents -- List of Tables -- List of Figures -- Chapter 1: The Problem and its Setting -- Chapter 2: Review of Related Literature and Studies -- Chapter 3. Research Design and Methodology -- Chapter 4. Presentation, Analysis and Interpretation -- Chapter 5. Summary, Conclusions and Recommendations -- Bibliography -- Appendices -- Curriculum Vitae .

The research covers the integration of regression analysis of the SLF Settlement Mechanism into Statistical Methods to draw probabilistic results and conclusions to incorporate in the post closure monitoring scheme of Payatas SLF as the primary area of this study.

There are no comments on this title.

to post a comment.