A web-based software tool for participatory optimization of conservation practices in watersheds

被引：36

作者：

Babbar-Sebens, Meghna ^{[1
]}

Mukhopadhyay, Snehasis ^{[2
]}

Singh, Vidya Bhushan ^{[2
]}

Piemonti, Adriana Debora ^{[1
]}

机构：

[1] Oregon State Univ, Sch Civil & Construct Engn, Corvallis, OR 97331 USA

[2] Indiana Univ Purdue Univ, Dept Comp & Informat Sci, Indianapolis, IN 46202 USA

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2015年 / 69卷

基金：

美国国家科学基金会;

关键词：

Interactive optimization; Participatory design; Conservation practices; Web-based; Subjective criteria; Watershed planning and management; INTEGRATED ASSESSMENT; GENETIC ALGORITHM; PRIORITY-DRIVEN; DEMAND-DRIVEN; MANAGEMENT; SYSTEMS; MODEL; DESIGN; WEAP21; GIS;

D O I：

10.1016/j.envsoft.2015.03.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

WRESTORE (Watershed Restoration Using Spatio-Temporal Optimization of Resources) is a web-based, participatory planning tool that can be used to engage with watershed stakeholder communities, and involve them in using science-based, human-guided, interactive simulation optimization methods for designing potential conservation practices on their landscape. The underlying optimization algorithms, process simulation models, and interfaces allow users to not only spatially optimize the locations and types of new conservation practices based on quantifiable goals estimated by the dynamic simulation models, but also to include their personal subjective and/or unquantifiable criteria in the location and design of these practices. In this paper, we describe the software, interfaces, and architecture of WRESTORE, provide scenarios for implementing the WRESTORE tool in a watershed community's planning process, and discuss considerations for future developments. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：111 / 127

页数：17

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