Spatial variability of peat subsidence in Southeast Asia by land use

Thesis: M. Eng. in Environmental Engineering Science, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, September, February, 2020

Bibliographic Details
Main Author: VanHemel, Amber R.
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/138521
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author VanHemel, Amber R.
author2 Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
author_facet Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
VanHemel, Amber R.
author_sort VanHemel, Amber R.
collection MIT
description Thesis: M. Eng. in Environmental Engineering Science, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, September, February, 2020
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spelling mit-1721.1/1385212021-12-18T03:00:56Z Spatial variability of peat subsidence in Southeast Asia by land use VanHemel, Amber R. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Civil and Environmental Engineering. Thesis: M. Eng. in Environmental Engineering Science, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, September, February, 2020 "February 2020." Manuscript. Includes bibliographical references (pages 32-33). Variograms are a valuable tool for geospatial analysis as they provide a description of how data are correlated as a function of separation distance. Their application can prove valuable for not only analyzing variations in environmental parameters such as peat subsidence in two dimensional space, but also to understand the factors governing these variations. With the deforestation and drainage of wetlands in Southeast Asia, there has been a gradual sinking across large areas of land (i.e. subsidence). Exposed carbon-rich peat oxidizes and subsequently subsides, emitting carbon dioxide into the atmosphere. Interferometric Synthetic Aperture Radar (InSAR) satellite data coupled with geostatistical analysis have been used to obtain key information on how subsidence varies at a fine spatial resolution. This project used gridded datasets from 8 sites across Indonesia and Malaysia to quantify the variance and spatial continuity of subsidence by land use type at a short spatial scale (1 kilometer). Subsidence rates in smallholder area and moderately degraded peatswamp forest were found to be autocorrelated within a few hundred meters, ranges of 270 ± 30 m and 230 m ± 40 m, respectively. by Amber R. VanHemel. M. Eng. in Environmental Engineering Science M. Eng. in Environmental Engineering Science Massachusetts Institute of Technology, Department of Civil and Environmental Engineering 2021-12-17T17:08:56Z 2021-12-17T17:08:56Z 2020 Thesis https://hdl.handle.net/1721.1/138521 1281670868 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 67 pages application/pdf as----- Massachusetts Institute of Technology
spellingShingle Civil and Environmental Engineering.
VanHemel, Amber R.
Spatial variability of peat subsidence in Southeast Asia by land use
title Spatial variability of peat subsidence in Southeast Asia by land use
title_full Spatial variability of peat subsidence in Southeast Asia by land use
title_fullStr Spatial variability of peat subsidence in Southeast Asia by land use
title_full_unstemmed Spatial variability of peat subsidence in Southeast Asia by land use
title_short Spatial variability of peat subsidence in Southeast Asia by land use
title_sort spatial variability of peat subsidence in southeast asia by land use
topic Civil and Environmental Engineering.
url https://hdl.handle.net/1721.1/138521
work_keys_str_mv AT vanhemelamberr spatialvariabilityofpeatsubsidenceinsoutheastasiabylanduse