Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management

Quinn, Nigel W. T.; Sridharan, Vamsi; Ramirez-Avila, John; Imen, Sanaz; Gao, Huilin; Talchabhadel, Rocky; Kumar, Saurav; McDonald, Walter

doi:10.18174/sesmo.18149

Title: Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management

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Abstract

The use of Geographic Information Systems (GIS) and remote sensing technologies for the development of water quality management programs and for post-implementation assessments has increased dramatically in the past decade. This increase in adoption has been made more accessible through the interfaces of many popular software tools used in the regulation and assessment of water quality. Customized applications of these tools will increase, as ease of access and affordability of directly monitored and remotely sensed datasets improve over time. Concurrently, there is a need for inclusive participatory engagement with stakeholders to achieve solutions to current watershed management challenges. This paper explores the potential of these GIS and remote sensing datasets, tools, models, and immersive engagement technologies from other domains, for improving public participation and stakeholder engagement throughout the watershed planning process. To do so, an initial review is presented about the use of GIS and remote sensing in watershed management and its role in impairment identification, model development, and planning and implementation. Then, ways in which GIS and remote sensing can be integrated with stakeholder engagement through (1) leveraging GIS and remote sensing datasets, and (2) stakeholder engagement approaches including outreach and education, modeler-led development, and stakeholder-led involvement and feedback,more »« less

Authors:

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Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Tetra Tech, Fairfax, VA (United States)
Mississippi State Univ., Mississippi State, MS (United States)
Stantec Consulting Services, Inc., Bellevue, WA (United States)
Texas A & M Univ., College Station, TX (United States)
Texas A&M AgriLife Research Center at El Paso, TX (United States)
Arizona State Univ., Tempe, AZ (United States)
Marquette Univ., Milwaukee, WI (United States)

Publication Date:: Mon Oct 17 00:00:00 EDT 2022

Research Org.:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1894642

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Accepted Manuscript

Journal Name:: Socio-Environmental Systems Modelling

Additional Journal Information:: Journal Volume: 4; Journal ID: ISSN 2663-3027

Publisher:: International Environmental Modelling and Software Society

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; geographic information systems; remote sensing; modelling; water quality; stakeholder engagement

Citation Formats


                    Quinn, Nigel W. T., Sridharan, Vamsi, Ramirez-Avila, John, Imen, Sanaz, Gao, Huilin, Talchabhadel, Rocky, Kumar, Saurav, and McDonald, Walter. Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management.  United States: N. p., 2022. 
Web.  doi:10.18174/sesmo.18149.

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                    Quinn, Nigel W. T., Sridharan, Vamsi, Ramirez-Avila, John, Imen, Sanaz, Gao, Huilin, Talchabhadel, Rocky, Kumar, Saurav, & McDonald, Walter. Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management.  United States.  https://doi.org/10.18174/sesmo.18149

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                    Quinn, Nigel W. T., Sridharan, Vamsi, Ramirez-Avila, John, Imen, Sanaz, Gao, Huilin, Talchabhadel, Rocky, Kumar, Saurav, and McDonald, Walter. Mon .  
"Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management".  United States.  https://doi.org/10.18174/sesmo.18149.  https://www.osti.gov/servlets/purl/1894642.

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@article{osti_1894642,

  title        = {Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management},

  author       = {Quinn, Nigel W. T. and Sridharan, Vamsi and Ramirez-Avila, John and Imen, Sanaz and Gao, Huilin and Talchabhadel, Rocky and Kumar, Saurav and McDonald, Walter},

  abstractNote = {The use of Geographic Information Systems (GIS) and remote sensing technologies for the development of water quality management programs and for post-implementation assessments has increased dramatically in the past decade. This increase in adoption has been made more accessible through the interfaces of many popular software tools used in the regulation and assessment of water quality. Customized applications of these tools will increase, as ease of access and affordability of directly monitored and remotely sensed datasets improve over time. Concurrently, there is a need for inclusive participatory engagement with stakeholders to achieve solutions to current watershed management challenges. This paper explores the potential of these GIS and remote sensing datasets, tools, models, and immersive engagement technologies from other domains, for improving public participation and stakeholder engagement throughout the watershed planning process. To do so, an initial review is presented about the use of GIS and remote sensing in watershed management and its role in impairment identification, model development, and planning and implementation. Then, ways in which GIS and remote sensing can be integrated with stakeholder engagement through (1) leveraging GIS and remote sensing datasets, and (2) stakeholder engagement approaches including outreach and education, modeler-led development, and stakeholder-led involvement and feedback, are discussed. Finally, future perspectives on the potential for transforming public participation and stakeholder engagement in the watershed management process through applications of GIS and remote sensing are presented.},

  doi          = {10.18174/sesmo.18149},

  journal      = {Socio-Environmental Systems Modelling},

  number       = ,

  volume       = 4,

  place        = {United States},

  year         = {Mon Oct 17 00:00:00 EDT 2022},

  month        = {Mon Oct 17 00:00:00 EDT 2022}

}

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