Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/19618Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | United States. Office of the Assistant Secretary of the Army for Acquisition, Logistics, and Technology | - |
| dc.contributor | University of Illinois at Urbana-Champaign. College of Agricultural, Consumer, and Environmental Sciences | - |
| dc.contributor.author | Dissanayake, Sahan | - |
| dc.contributor.author | Önal, Hayri | - |
| dc.contributor.author | Westervelt, James D. | - |
| dc.date.accessioned | 2016-10-12T14:02:08Z | - |
| dc.date.available | 2016-10-12T14:02:08Z | - |
| dc.date.issued | 2013-01 | - |
| dc.identifier.uri | http://hdl.handle.net/11681/19618 | - |
| dc.description | Technical Report | - |
| dc.description | Abstract: This report documents the development of a framework for a numerical modeling application that can help installation managers develop optimal land-use policies that support competing uses to the greatest extent feasible. Specifically, this framework is designed for modeling landscapes that must concurrently maximize a military training mission, conservation of ecosystem services needed by species at risk, and development of renewable energy resources. These competing land uses have become necessary in recent decades due to emerging regulatory requirements for environmental conservation and strategic requirements for producing renewable energy on military lands. The modeling framework includes a table of land-use needs, land-use suitability maps, and a land-use compatibility matrix, which will be implemented as part of the user interface for the proposed numerical model. In a later phase of this work the framework will be extended to include the time domain, which will play a significant role in scheduling military training and testing activities to avoid interfering with certain essential but conflicting factors such as endangered species breeding cycles or the seasonal availability of solar exposure for photovoltaic production. | - |
| dc.publisher | Construction Engineering Research Laboratory (U.S.) | - |
| dc.publisher | Engineer Research and Development Center (U.S.) | - |
| dc.relation | http://acwc.sdp.sirsi.net/client/en_US/search/asset/1019900 | - |
| dc.rights | Approved for public release; distribution is unlimited. | - |
| dc.source | This Digital Resource was created in Microsoft Work and Adobe Acrobat | - |
| dc.subject | Land use | - |
| dc.subject | Training ranges | - |
| dc.subject | Numerical modeling | - |
| dc.subject | Sustainability | - |
| dc.subject | Species at risk | - |
| dc.subject | Base Facilities Environmental Quality | - |
| dc.title | Optimal management Of DoD lands for military training, ecosystem services, and renewable energy generation : framework and data requirements | - |
| dc.type | Report | en_US |
| Appears in Collections: | Technical Report | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-CERL-TR-13-2.pdf | 688.52 kB | Adobe PDF |  View/Open |