Structure and support of water-resources management and decision-making

Reitsma, René

doi:10.1016/0022-1694(95)02962-1

Cited by 38 publications

(19 citation statements)

References 8 publications

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“…If we measure the progress in terms of tool development, the answer is a resounding "yes." During the 1990s, GIS (Godschalk et al 1992;Faber et al 1994;Faber, Wallace, and Cuthbertson 1995;Faber, Wallace, and Miller 1996), their offspring, spatial decision support systems (SDSS) (Carver 1991;Densham 1991;Armstrong 1993;Eastman et al 1995;Heywood, Oliver, and Tomlinson 1995;Jankowski 1995;Reitsma 1996;Nyerges et. al.…”

mentioning

confidence: 99%

“…Clearly, research concerning collaborative decision making for geographically oriented public policy problems continues to gain momentum (Godschalk et al 1992;Shiffer 1992;Faber et al 1994;Couclelis and Monmonier 1995;Densham, Armstrong and Kemp 1995;Faber, Wallace, and Cuthbertson 1995;Golay and Nyerges 1995;Faber, Wallace, and Miller 1996;Reitsma 1996;Reitsma et al 1996;Nyerges and Jankowski 1997;Nyerges, Moore, Montejano, and Compton 1988;Nyerges, Montejano, Oshiro, and Dadswell 1998). Reducing the complexity of a decision process by reducing the cognitive workload of decision makers is one goal of developing collaborative decision support systems by integrating capabilities from group decision support systems, GIS, and multiple criteria decision models (MCDM).…”

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confidence: 99%

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GIS-Supported Collaborative Decision Making: Results of an Experiment

Jankowski

Nyerges

2001

Annals of the Association of American Geographers

161

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This article addresses research questions about the sociobehavioral dynamics of geographic information system (GIS) use during collaborative decision making in small interorganizational groups. Using an experimental design of a conference room setting, a study of human-computer-human interaction was conducted with 109 volunteer participants formed into 22 groups, each group representing multiple organizational stakeholder perspectives. The experiment involved the use of GIS integrated with multiple criteria decision models to support group-based decision making concerned with the selection of habitat restoration sites in the Duwamish Waterway of Seattle, Washington. Findings representative of four categories of investigation are presented. In the first category, the experiment demonstrated that groups used maps predominantly to visualize the evaluation results and much less to structure/design the decision problem. Maps played only a limited support role in various decision stages of the experiment. In the second category, while the use of multiple criteria decision models by groups remained steady throughout different phases of the decision process, the use of maps was much lower during the initial exploratory-structuring phase than during the later analytic-integrating phase. In category three, the amount of prior and acquired group member experience with computer tools had no influence on the appropriation of decision aids. In category four, different phases of the decision process had two different levels of conflict: the exploratory-structuring phase was characterized by a lower level of conflict, and the analytic-integrating phase was characterized by high conflict level. The higher level of conflict during the analytic-integrating phase tells us that analytical decision aids aimed at conflict management are likely to help work through conflict, such conflict now being recognized as a necessary part of making progress in public decision problems.

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confidence: 99%

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confidence: 99%

GIS-Supported Collaborative Decision Making: Results of an Experiment

Jankowski

Nyerges

2001

Annals of the Association of American Geographers

161

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“…(Palmer and Holmes 1988;Reitsma 1996;Ito et al 2001;Shim et al 2002;Koutsoyiannis et al 2003;Zhang et al 2004;Mysiak et al 2005;Calder et al 2008;Tian-en et al 2009;Alminana et al 2010). Furthermore, a few watershed DSSs are merely related to environmental problems e.g.…”

Section: Need For Advanced and Augmented Techniques For Watershed Manmentioning

confidence: 92%

Information System for Integrated Watershed Management Using Remote Sensing and GIS

Aher

Adinarayana

Gorantiwar

et al. 2014

Society of Earth Scientists Series

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Watershed management is an endowed approach to mitigate the gap between demand and supply of water and other natural resources, particularly in the fragile arid and semi-arid tropics (SAT). As this is a complex phenomenon, there is need for a reliable Information System/Decision Support System (DSS). Watershed Management Information System (WATMIS) is a viable and generic toolkit for integrated watershed planning and management of its natural resources using multiple technologies like Geographical Information System (GIS), Remote Sensing (RS), Global Positioning System (GPS), hydrological modelling and soft computing tools. In this system, an attempt has been made to integrate dimensions in Agriculture-Water-Soil-Climate continuum for sustainable management of land and water resources judiciously. The application of WATMIS will be useful to various stakeholders such as agriculturists, rural extension community and water resources managers for better decision making.

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“…The whole frame can be divided into human-machine interactive layer, application layer, system support layer, network support layer, and data collection layer [4] , see figure 2 below. …”

Section: System Structurementioning

confidence: 99%

RS- and GIS-based decision support system for flood prevention in Xinjiang arid area

Liu

Zhan

et al. 2004

Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture

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Decision support system (DSS) is a flexible information technology system that is useful in making semi-structure and non-structure decisions. This paper takes Toutun river basin in Xinjiang as a typical study region, combines "3S"(RS, GIS, GPS), digital 3D virtual emulation and seamless integration of multi-source spatial data with hydrological basin model, forecasting model, reservoir regulating model and damage estimation model to create a DSS for flood prevention. With this DSS, some difficult issues concerning flood prevention are explored. The characteristics of the DSS for flood prevention for this river basin include: decisions are made spatially-distributed, real time, mutual and by group. The DSS is a software platform with diversity and expandability. It contains intelligent and visualization functions.

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Structure and support of water-resources management and decision-making

Cited by 38 publications

References 8 publications

GIS-Supported Collaborative Decision Making: Results of an Experiment

GIS-Supported Collaborative Decision Making: Results of an Experiment

Information System for Integrated Watershed Management Using Remote Sensing and GIS

RS- and GIS-based decision support system for flood prevention in Xinjiang arid area

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