Literature DB >> 20132323

Linking MODFLOW with an agent-based land-use model to support decision making.

Howard W Reeves1, Moira L Zellner.   

Abstract

The U.S. Geological Survey numerical groundwater flow model, MODFLOW, was integrated with an agent-based land-use model to yield a simulator for environmental planning studies. Ultimately, this integrated simulator will be used as a means to organize information, illustrate potential system responses, and facilitate communication within a participatory modeling framework. Initial results show the potential system response to different zoning policy scenarios in terms of the spatial patterns of development, which is referred to as urban form, and consequent impacts on groundwater levels. These results illustrate how the integrated simulator is capable of representing the complexity of the system. From a groundwater modeling perspective, the most important aspect of the integration is that the simulator generates stresses on the groundwater system within the simulation in contrast to the traditional approach that requires the user to specify the stresses through time.

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Year:  2010        PMID: 20132323     DOI: 10.1111/j.1745-6584.2010.00677.x

Source DB:  PubMed          Journal:  Ground Water        ISSN: 0017-467X            Impact factor:   2.671


  3 in total

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Journal:  Environ Monit Assess       Date:  2017-06-07       Impact factor: 2.513

2.  Assessing the effects of rural livelihood transition on non-point source pollution: a coupled ABM-IECM model.

Authors:  Chengcheng Yuan; Liming Liu; Jinwei Ye; Guoping Ren; Dong Zhuo; Xiaoxing Qi
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-02       Impact factor: 4.223

3.  A socio-ecological model for predicting impacts of land-use and climate change on regional plant diversity in the Austrian Alps.

Authors:  Iwona Dullinger; Andreas Gattringer; Johannes Wessely; Dietmar Moser; Christoph Plutzar; Wolfgang Willner; Claudine Egger; Veronika Gaube; Helmut Haberl; Andreas Mayer; Andreas Bohner; Christian Gilli; Kathrin Pascher; Franz Essl; Stefan Dullinger
Journal:  Glob Chang Biol       Date:  2020-01-29       Impact factor: 10.863

  3 in total

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