Preliminary groundwater modelling by considering the interaction with superficial water: Aosta plain case (northern Italy)

The study is developed through scientific cooperation between the University of Milano-Bicocca and the Regional Agency for Environmental Protection (ARPA) of the Valle d’Aosta Region. Its aim is to produce a decision-support tool to help the Public Administration’manage groundwater and public water supply. The study area is the plain of Aosta, between the cities of Aymavilles and Brissogne; in this area groundwater represents the main source of public water supply. The valley is oriented east-west, along the Baltea for a length of 13.1 km and a width of 4.6 km. The textural and hydrogeological properties of the deposits are strictly connected to glacial deposition and to the subsequent sedimentary processes which took place in glacial, lacustrine and fluvial systems. The study is based on available well information in the Aosta plain - including water wells (133) and piezometers (121) - which have been coded and stored in the well database TANGRAM,. The database facilitates interpretation of the well data, and it allows three-dimensional mapping of subsurface hydrogeological characteristics through database codification and ordinary kriging interpolation. The study is designed to achieve two objectives. The first is to provide the Aosta Public Authorities with a well database in order to simplify groundwater management. The second is to provide Public Authorities with a groundwater flow model of the local aquifer. The model integrates surface and subsurface flows in order to fully account for all important stresses, both natural and anthropogenic, on the groundwater system. It provides a tool for testing hypotheses (such as the impact of new wells) and thereby allows science-based management of the aquifer resource.

Download Full-text

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

Download Full-text

Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty

Energies ◽

10.3390/en11092190 ◽

2018 ◽

Vol 11 (9) ◽

pp. 2190 ◽

Cited By ~ 3

Author(s):

Rafael Dawid ◽

David McMillan ◽

Matthew Revie

Keyword(s):

Wind Farm ◽

Real Life ◽

Synthetic Data ◽

Optimal Solution ◽

Decision Support Tool ◽

Offshore Wind ◽

Offshore Wind Farm ◽

Support Tool ◽

Trade Offs ◽

The Impact

This paper for the first time captures the impact of uncertain maintenance action times on vessel routing for realistic offshore wind farm problems. A novel methodology is presented to incorporate uncertainties, e.g., on the expected maintenance duration, into the decision-making process. Users specify the extent to which these unknown elements impact the suggested vessel routing strategy. If uncertainties are present, the tool outputs multiple vessel routing policies with varying likelihoods of success. To demonstrate the tool’s capabilities, two case studies were presented. Firstly, simulations based on synthetic data illustrate that in a scenario with uncertainties, the cost-optimal solution is not necessarily the best choice for operators. Including uncertainties when calculating the vessel routing policy led to a 14% increase in the number of wind turbines maintained at the end of the day. Secondly, the tool was applied to a real-life scenario based on an offshore wind farm in collaboration with a United Kingdom (UK) operator. The results showed that the assignment of vessels to turbines generated by the tool matched the policy chosen by wind farm operators. By producing a range of policies for consideration, this tool provided operators with a structured and transparent method to assess trade-offs and justify decisions.

Download Full-text

Impact of climate change on abstraction for hydropower and public water supply in Wales, UK

10.5194/egusphere-egu21-728 ◽

2021 ◽

Author(s):

Richard Dallison ◽

Sopan Patil

Keyword(s):

Climate Change ◽

Water Supply ◽

Hydrological Cycle ◽

Mitigation Measures ◽

Public Water Supply ◽

Worst Case ◽

Efficient Operation ◽

Substantial Impact ◽

Impact Of Climate Change ◽

The Impact

The impact of climate change on the hydrological cycle and catchment processes has been extensively studied. In Wales, such changes are projected to have a substantial impact on hydrological regimes. However, the impact on the water abstraction capability of key sectors in the country, such as hydropower (HP) and public water supply (PWS), is not yet fully understood. We use the Soil and Water Assessment Tool (SWAT) to generate future (2021-2054) daily streamflows under a worst-case scenario of greenhouse gas emissions (Representative Concentration Pathway 8.5) at two large catchments in Wales, the Conwy and Tywi. SWAT streamflow output is used to estimate the abstractable water resources, and therefore changes in the average generation characteristics for 25 run-of-river HP schemes across Conwy and Tywi and the total unmet demand for a single large PWS abstraction in the Tywi. This unmet PWS demand is assessed using the Water Evaluation And Planning (WEAP) system under increasing, static, and declining demand scenarios. Mann-Kendall trend analysis is performed to detect and characterise the trends for both sectors.Results show greater seasonality in abstraction potential through the study period, with an overall decrease in annual abstraction volume due to summer and autumn streamflow declines outweighing increases seen in winter and spring. For HP, these trends result in a projected decline in annual power generation potential, despite an increasing number of days per year that maximum permitted abstraction is reached. For PWS, under all future demand scenarios, annually there is an increase in the number of days where demand is not met as well as the total shortfall volume of water. Our results suggest that currently installed HP schemes may not make optimal use of future flows, and that the planning of future schemes should take account of these to ensure the most efficient operation is achieved. Moreover, PWS supply sustainability is under threat and will require management and mitigation measures to be implemented to ensure future supplies. Overall, our study provides a novel perspective on the future water resource availability in Wales, giving context to management planning to ensure future HP generation efficiency and PWS sustainability.

Download Full-text

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.

Download Full-text

A decision support tool for rural water supply planning

Journal of Water Sanitation and Hygiene for Development ◽

10.2166/washdev.2020.017 ◽

2020 ◽

Vol 10 (3) ◽

pp. 447-457

Author(s):

Joseph Cook ◽

Jake Wagner ◽

Gunnar Newell

Keyword(s):

Decision Support ◽

Water Supply ◽

Current Model ◽

Decision Support Tool ◽

Community Members ◽

Rural Water Supply ◽

Support Tool ◽

Rural Water ◽

Supply Planning ◽

Using Data

Abstract Over a dozen studies have examined how households who travel to collect water (about one-quarter of humanity) make choices about where and how much to collect. There is little evidence, however, that these studies have informed rural water supply planning in anything but a qualitative way. In this paper, we describe a new web-based decision support tool that planners or community members can use to simulate scenarios such as (1) price, quality, or placement changes of existing sources, (2) the closure of an existing source, or (3) the addition of a new source. We describe the analytical structure of the model and then demonstrate its possibilities using data from a recent study in rural Meru County, Kenya. We discuss some limits of the current model, and encourage readers and practitioners to explore it and suggest ways in which it could be improved or used most effectively.

Download Full-text

The Competition Between ISPs in Presence of the Net Neutrality

International Journal of Informatics and Communication Technology (IJ-ICT) ◽

10.11591/ijict.v6i3.pp166-178 ◽

2017 ◽

Vol 6 (3) ◽

pp. 166

Author(s):

Mohamed El Amrani ◽

Hamid Garmani ◽

Mohamed Baslam ◽

Rachid El Ayachi

Keyword(s):

Quality Of Service ◽

Service Providers ◽

Decision Support Tool ◽

Neutral Network ◽

Net Neutrality ◽

Internet Service ◽

Support Tool ◽

Content Provider ◽

The Impact

In this work, we present an economic model of computer networks that describes the in-teraction between Internet Service Providers (ISP ), customers and content provider. The competition between ISP s may be translated by the prices they require and the qualities of service (QoS) they offer. The customer demand for service from an ISP does not only de-pend on the price and quality of service (QoS) of the ISP , but it is influenced by all those offered by its competitors. This behavior has been extensively analyzed using game the-ory as a decision support tool. We interpret a non-neutral network when a content provider privileges ISP s by offering them more bandwidth to ensure proper QoS to support ap-plications that require more data transport capacity (voice over internet protocol (V OIP ) the live video streaming, online gaming). In addition, our work focuses on the price game analysis and QoS between ISP s in two cases: neutral network and non-neutral network. After showing the existence and uniqueness of equilibrium in terms of quality of service, we analyzed the impact of net neutrality on competition between ISP s. We also validated our theoretical study with numerical results, which show that the game has an equilibrium point which depends on all the parameters of the system.

Download Full-text

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.

Download Full-text

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

Download Full-text

Towards Designing Tools for Universities’ R&D Performance Measurement on Mobile Platform

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v13i04.10547 ◽

2019 ◽

Vol 13 (04) ◽

pp. 178

Author(s):

Mohd Faizal Omar ◽

Siti Rasifah Ahmad Roshidi ◽

Jastini Mohd. Jamil ◽

Fazillah Mohmad Kamal ◽

Mohd Nasrun Mohd Nawi ◽

...

Keyword(s):

Decision Making ◽

Performance Indicator ◽

Decision Support Tool ◽

Education Institution ◽

Mobile Platform ◽

Support Tool ◽

Prototype Development ◽

The Moment ◽

The Right ◽

The Impact

At the moment, there is a great interest in most universities to achieve higher ranking for better international standings and visibility. With shrinking resources such as financial and infrastructures, there is also a huge demand for the university to move forward and perform better in Research and Development (R&D) in each evaluation year. Key Performance Indicator (KPI) is an excellent tool to enculturate research in a Higher Education Institution (HEI). The culture must be built upon HEI’s strength and weaknesses. Hence, the right decision making tool must be develop to priorities different agendas such as QSWUR, THE, etc. Mobile platform provide an efficient way to engage with stakeholders particularly to measure HEI performance on R&D. There are three main activities involves for developing a decision support tool for measuring R&D impact in HEIs i.e. development of decision model using multi criteria decision making, dashboard prototype development including and UI/UX for mobile platform. This paper describe the importance of measuring the impact of R&D, prioritization technique and the process of prototype development. It is anticipates that our work could mitigate the gaps and improve the research ecosystem in HEIs.

Download Full-text