Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation.

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Assessment of alternative land management practices using hydrological simulation and a decision support tool: Arborea agricultural region, Sardinia

Hydrology and Earth System Sciences ◽

10.5194/hess-11-1811-2007 ◽

2007 ◽

Vol 11 (6) ◽

pp. 1811-1823 ◽

Cited By ~ 15

Author(s):

P. Cau ◽

C. Paniconi

Keyword(s):

Decision Support ◽

Land Management ◽

Quantitative Methods ◽

Management Practices ◽

Water Movement ◽

Agricultural Practices ◽

Treated Wastewater ◽

Hydrological Simulation ◽

Support Tool ◽

The Impact

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield over a long period of time for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation. Our analysis suggests that of the four options, the most widely acceptable consists in the transfer of intensive agricultural practices to the larger watershed, which is less vulnerable, in tandem with wastewater reuse, which rates highly due to water scarcity in this region of the Mediterranean. More generally, the work demonstrates how both qualitative and quantitative methods and information can assist decision making in complex settings.

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The Impact of a Big Data Decision Support Tool on Military Logistics: Medical Analytics Meets the Mission

Defense Acquisition Research Journal ◽

10.22594/dau.16.769.24.03 ◽

2017 ◽

Vol 24 (3) ◽

pp. 468-487

Author(s):

Felix Chang ◽

Christopher Dente ◽

Eric Elster

Keyword(s):

Big Data ◽

Decision Support ◽

Decision Support Tool ◽

Support Tool ◽

Military Logistics ◽

The Impact

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Using a decision support tool to screen for pro-poor policies: Application of Extrapolate to smallholder dairy systems in East Africa

Proceedings of the British Society of Animal Science ◽

10.1017/s175275620000939x ◽

2005 ◽

Vol 2005 ◽

pp. 28-28

Author(s):

P. K. Thornton ◽

P. J. Thorne ◽

C. Quiros ◽

D. Sheikh ◽

R. L. Kruska ◽

...

Keyword(s):

Decision Support ◽

Poverty Reduction ◽

Intervention Mapping ◽

Decision Support Tool ◽

Target Groups ◽

Support Tool ◽

Policy Alternatives ◽

Ex Ante ◽

Policy Measures ◽

The Impact

Extrapolate (EX-ante Tool for RAnking POLicy AlTErnatives) is a decision support tool to assess the impact of policy measures on different target groups. It is designed to serve as a “filter” that, given the broad characteristics of the population, allows the user to sift through different policy measures to assess ex ante the broad potential impacts of these before deciding to look at particular policy options in more detail. Extrapolate models, in a very simple way, the impact of changes on constraints facing potential beneficiary groups, and how these may affect outcomes and their livelihood status. Extrapolate now makes use of mapping facilities from another decision-support tool, PRIMAS (Poverty Reduction Intervention Mapping in Agricultural Systems), that allows the user to match characteristics of particular technological options and constraints with the spatial characteristics of particular target groups in the landscape.

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Clinical implementation of pharmacogenomics via a health system-wide research biobank: the University of Colorado experience

Pharmacogenomics ◽

10.2217/pgs-2020-0007 ◽

2020 ◽

Vol 21 (6) ◽

pp. 375-386 ◽

Cited By ~ 5

Author(s):

Christina L Aquilante ◽

David P Kao ◽

Katy E Trinkley ◽

Chen-Tan Lin ◽

Kristy R Crooks ◽

...

Keyword(s):

Decision Support ◽

Health System ◽

Clinical Decision Support ◽

Decision Support Tool ◽

Clinical Decision ◽

Clinical Implementation ◽

Support Tool ◽

University Of Colorado ◽

The University ◽

The Impact

In recent years, the genomics community has witnessed the growth of large research biobanks, which collect DNA samples for research purposes. Depending on how and where the samples are genotyped, biobanks also offer the potential opportunity to return actionable genomic results to the clinical setting. We developed a preemptive clinical pharmacogenomic implementation initiative via a health system-wide research biobank at the University of Colorado. Here, we describe how preemptive return of clinical pharmacogenomic results via a research biobank is feasible, particularly when coupled with strong institutional support to maximize the impact and efficiency of biobank resources, a multidisciplinary implementation team, automated clinical decision support tools, and proactive strategies to engage stakeholders early in the clinical decision support tool development process.

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BEETSOIL: a decision support tool for forecasting the impact of soil conditions on sugar beet harvest

Soil and Tillage Research ◽

10.1016/j.still.2019.04.001 ◽

2019 ◽

Vol 191 ◽

pp. 131-141

Author(s):

Miguel A. Gabarron-Galeote ◽

Jacqueline A. Hannam ◽

Thomas Mayr ◽

Patrick J. Jarvis

Keyword(s):

Decision Support ◽

Sugar Beet ◽

Decision Support Tool ◽

Soil Conditions ◽

Support Tool ◽

The Impact

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Application of a Multi-Criteria Decision Support Tool in Assessing the Feasibility of Implementing Treated Wastewater Reuse

International Journal of Decision Support System Technology ◽

10.4018/jdsst.2013010101 ◽

2013 ◽

Vol 5 (1) ◽

pp. 1-23 ◽

Cited By ~ 2

Author(s):

J.R. Adewumi ◽

A.A. Ilemobade ◽

J.E. van Zyl

Keyword(s):

Decision Support ◽

Service Providers ◽

Wastewater Reuse ◽

Decision Support Tool ◽

Treated Wastewater ◽

Support Tool ◽

Feasibility Assessment ◽

Quality Costs ◽

Treated Wastewater Reuse ◽

User Friendly

Wastewater reuse is increasingly becoming an important component of water resources management in many countries. Planning of a sustainable wastewater reuse project involves multi-criteria that incorporate technical, economic, environmental and social attributes. These attributes of sustainability is the framework upon which the decision support tool presented in this paper is developed. The developed tool employs a user friendly environment that guides the decision makers in assessing the feasibility of implementing wastewater reuse. The input data into the tool are easily obtainable while the output is comprehensive enough for a feasibility assessment of treated wastewater reuse. The output is expressed in terms of effluent quality, costs, quantitative treatment scores and perception evaluation. Testing of the developed multi-criteria decision support tool using Parow wastewater treatment works in Cape Town showed the tool to be versatile and capable of providing a good assessment of both qualitative and quantitative criteria in the selection of treatment trains to meet various non-potable reuses. The perception module provided a quick assessment of potential user’s concerns on reuse and service providers’ capacity.

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Exploring the Impact of a Clinical Decision Support Tool from the Perspective of Service Users & Carers

Mental Health and Learning Disabilities Research and Practice ◽

10.5920/mhldrp.2008.51147 ◽

2008 ◽

Vol 5 (1) ◽

pp. 147-161

Author(s):

Nicola Roberts ◽

Virginia Minogue ◽

Mike Lucock ◽

Lesley Dale ◽

Rom Glen

Keyword(s):

Decision Support ◽

Clinical Decision Support ◽

Decision Support Tool ◽

Clinical Decision ◽

Service Users ◽

Support Tool ◽

Clinical Decision Support Tool ◽

The Impact

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Topological clustering as a tool for planning water quality monitoring in water distribution networks

Water Science & Technology Water Supply ◽

10.2166/ws.2015.056 ◽

2015 ◽

Vol 15 (5) ◽

pp. 1011-1018 ◽

Cited By ~ 1

Author(s):

Jonas Kjeld Kirstein ◽

Hans-Jørgen Albrechtsen ◽

Martin Rygaard

Keyword(s):

Water Quality ◽

Decision Support ◽

Network Model ◽

Water Distribution ◽

Water Movement ◽

Decision Support Tool ◽

Water Quality Monitoring ◽

Distribution Networks ◽

Quality Monitoring ◽

Support Tool

Topological clustering was explored as a tool for water supply utilities in preparation of monitoring and contamination contingency plans. A complex water distribution network model of Copenhagen, Denmark, was simplified by topological clustering into recognizable water movement patterns to: (1) identify steady clusters for a part of the network where an actual contamination has occurred; (2) analyze this event by the use of mesh diagrams; and (3) analyze the use of mesh diagrams as a decision support tool for planning water quality monitoring. Initially, the network model was divided into strongly and weakly connected clusters for selected time periods and mesh diagrams were used for analysing cluster connections in the Nørrebro district. Here, areas of particular interest for water quality monitoring were identified by including user-information about consumption rates and consumers particular sensitive towards water quality deterioration. The analysis revealed sampling locations within steady clusters, which increased samples' comparability over time. Furthermore, the method provided a simplified overview of water movement in complex distribution networks, and could assist identification of potential contamination and affected consumers in contamination cases. Although still in development, the method shows potential for assisting utilities during planning of monitoring programs and as decision support tool during emergency contingency situations.

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