Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method

Policy and decision makers dealing with environmental conservation and land use planning often require identifying potential sites for contributing to minimize sediment flow reaching riverbeds. This is the case of reforestation initiatives, which can have sediment flow minimization among their objec...

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主要作者: Vanegas Peralta, Pablo Fernando
格式: ARTÍCULO
语言:es_ES
出版: 2018
主题:
在线阅读:https://www.scopus.com/record/display.uri?eid=2-s2.0-84861221103&origin=resultslist&sort=plf-f&src=s&sid=bdd5623d1847f74991b72c215bf58c6b&sot=b&sdt=b&s=TITLE-ABS-KEY%28Allocating+reforestation+areas+for+sediment+flow+minimization%29&sl=76&sessionSearchId=bdd5623d1847f74991b72c215bf58c6b&relpos=0
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author Vanegas Peralta, Pablo Fernando
author_facet Vanegas Peralta, Pablo Fernando
author_sort Vanegas Peralta, Pablo Fernando
collection DSpace
description Policy and decision makers dealing with environmental conservation and land use planning often require identifying potential sites for contributing to minimize sediment flow reaching riverbeds. This is the case of reforestation initiatives, which can have sediment flow minimization among their objectives. This paper proposes an Integer Programming (IP) formulation and a Heuristic solution method for selecting a predefined number of locations to be reforested in order to minimize sediment load at a given outlet in a watershed. Although the core structure of both methods can be applied for different sorts of flow, the formulations are targeted to minimization of sediment delivery. The proposed approaches make use of a Single Flow Direction (SFD) raster map covering the watershed in order to construct a tree structure so that the outlet cell corresponds to the root node in the tree. The results obtained with both approaches are in agreement with expert assessments of erosion levels, slopes and distances to the riverbeds, which in turn allows concluding that this approach is suitable for minimizing sediment flow. Since the results obtained with the IP formulation are the same as the ones obtained with the Heuristic approach, an optimality proof is included in the present work. Taking into consideration that the heuristic requires much less computation time, this solution method is more suitable to be applied in large sized problems.
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spelling oai:dspace.ucuenca.edu.ec:123456789-291692024-02-02T13:44:36Z Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method Vanegas Peralta, Pablo Fernando Flow minimization Integer programming IP Sediment flow minimization Site allocation Site location Policy and decision makers dealing with environmental conservation and land use planning often require identifying potential sites for contributing to minimize sediment flow reaching riverbeds. This is the case of reforestation initiatives, which can have sediment flow minimization among their objectives. This paper proposes an Integer Programming (IP) formulation and a Heuristic solution method for selecting a predefined number of locations to be reforested in order to minimize sediment load at a given outlet in a watershed. Although the core structure of both methods can be applied for different sorts of flow, the formulations are targeted to minimization of sediment delivery. The proposed approaches make use of a Single Flow Direction (SFD) raster map covering the watershed in order to construct a tree structure so that the outlet cell corresponds to the root node in the tree. The results obtained with both approaches are in agreement with expert assessments of erosion levels, slopes and distances to the riverbeds, which in turn allows concluding that this approach is suitable for minimizing sediment flow. Since the results obtained with the IP formulation are the same as the ones obtained with the Heuristic approach, an optimality proof is included in the present work. Taking into consideration that the heuristic requires much less computation time, this solution method is more suitable to be applied in large sized problems. 2018-01-11T16:47:36Z 2018-01-11T16:47:36Z 2012 ARTÍCULO 1389-4420 https://www.scopus.com/record/display.uri?eid=2-s2.0-84861221103&origin=resultslist&sort=plf-f&src=s&sid=bdd5623d1847f74991b72c215bf58c6b&sot=b&sdt=b&s=TITLE-ABS-KEY%28Allocating+reforestation+areas+for+sediment+flow+minimization%29&sl=76&sessionSearchId=bdd5623d1847f74991b72c215bf58c6b&relpos=0 10.1007/s11081-011-9138-2 es_ES application/pdf Optimization and Engineering
spellingShingle Flow minimization
Integer programming
IP
Sediment flow minimization
Site allocation
Site location
Vanegas Peralta, Pablo Fernando
Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title_full Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title_fullStr Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title_full_unstemmed Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title_short Allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
title_sort allocating reforestation areas for sediment flow minimization: an integer programming formulation and a heuristic solution method
topic Flow minimization
Integer programming
IP
Sediment flow minimization
Site allocation
Site location
url https://www.scopus.com/record/display.uri?eid=2-s2.0-84861221103&origin=resultslist&sort=plf-f&src=s&sid=bdd5623d1847f74991b72c215bf58c6b&sot=b&sdt=b&s=TITLE-ABS-KEY%28Allocating+reforestation+areas+for+sediment+flow+minimization%29&sl=76&sessionSearchId=bdd5623d1847f74991b72c215bf58c6b&relpos=0
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