Identification of Groundwater Potential Recharge Zones Using GIS-Based Multi-Criteria Decision Analysis: A Case Study of Semi-Arid Midlands Manyara Fractured Aquifer, North-Eastern Tanzania.

2021 ◽  
pp. 100544
Author(s):  
Michael Makonyo ◽  
Michael M. Msabi
Keyword(s):  
Decision Analysis ◽  
Groundwater Potential ◽  
Fractured Aquifer ◽  
Multi Criteria Decision Analysis ◽  
North Eastern ◽  
Potential Recharge ◽  
Semi Arid

Using multi criteria decision analysis to evaluate nanotechnology: nAg enabled textiles as a case study

2017 ◽  
Vol 4 (8) ◽  
pp. 1647-1655 ◽  
Author(s):  
Andrea L. Hicks
Keyword(s):  
Decision Analysis ◽  
Multi Criteria Decision Analysis

Nanosilver enabled textiles represent an advancement in clothing technology, due to their antimicrobial nature.

Mapping of Groundwater potential zones in Lingasugur Taluk in North-eastern part of Karnataka, India using Remote Sensing, GIS and multi-criteria data analysis

2021 ◽  
Vol 14 (12) ◽  
pp. 13-22
Author(s):  
Ajgaonkar Swanand ◽  
S. Manjunatha
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Exploration ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Thematic Maps ◽  
North Eastern

Groundwater research has evolved tremendously as presently it is the need of society. Remote Sensing (RS) and Geographical Information System (GIS) are the main methods in finding the potential zones for the groundwater. They help in assessing, exploring, monitoring and conserving groundwater resources. A case study was conducted to find the groundwater potential zones in Lingasugur taluk, Raichur District, Karnataka State, India. Ten thematic maps were prepared for the study area such as geology, hydrogeomorphology, land use/ land cover, soil type, NDVI, NDWI, slope map, lineament density, rainfall and drainage density. A weighted overlay superimposed method was used after converting all the thematic maps in raster format. Thus from analysis, the classes in groundwater potential were made as very good, moderate, poor and very poor zones covering an area of 10.1 sq.km., 169.25 sq.km., 1732.31 sq.km. and 53.66 sq.km. respectively. By taking the present study into consideration, the future plans for urbanization, recharge structures and groundwater exploration sites can be decided.

Risiko- und Notfallmanagement unter Unsicherheit (Teil 2)

2011 ◽  
Vol 52 (2) ◽  
pp. 12-16
Author(s):  
Jutta Geldermann ◽  
Valentin Bertsch ◽  
Florian Gering
Keyword(s):  
Monte Carlo ◽  
Decision Analysis ◽  
Supply Chains ◽  
Decision Processes ◽  
Decision Makers ◽  
Decision Situation ◽  
Multi Criteria Decision Analysis ◽  
Accident Scenario ◽  
Complex Decision

Komplexe Entscheidungssituationen, wie sie beispielsweise im Notfall- und Sanierungsmanagement nach einem kerntechnischen Störfall auftreten, erfordern eine Berücksichtigung technischer, ökonomischer, ökologischer, sozio-psychologischer und politischer Aspekte. Ansätze der Mehrzielentscheidungsunterstützung ermöglichen eine aggregierte Betrachtung verschiedener Aspekte, das Miteinbeziehen der subjektiven Präferenzen der Entscheidungsträger und tragen zu mehr Transparenz und Nachvollziehbarkeit von Entscheidungsprozessen bei. Dieser Beitrag befasst sich schwerpunktmäßig mit der Betrachtung von Unsicherheiten in solchen Entscheidungsprozessen. Zur Modellierung, Fortpflanzung und Visualisierung von Unsicherheiten wird ein Monte-Carlo-Ansatz vorgestellt und beispielhaft auf Daten eines fiktiven nuklearen Unfallszenarios angewendet. Generell ist der Ansatz jedoch auf allgemeine komplexe Entscheidungssituationen erweiterbar, insbesondere auf den Bereich sonstiger industrieller Notfälle. Eine interessante Fragestellung besteht weiterhin in der Untersuchung der Auswirkungen industrieller Notfälle auf die gesamte Wertschöpfungskette. Der erste Teil des Aufsatzes wurde bereits in Der Betriebswirt 1/2011 veröffentlicht, der letzte Teil folgt in Ausgabe 3/2011. Complex decision situations, such as in nuclear emergency and remediation management, require the consideration of technical, economic, ecological, socio-psychological and political aspects. Approaches for Multi-Criteria Decision Analysis (MCDA) help to take into account various incommensurable aspects and subjective preferences of the decision makers and thus contribute to transparency and traceability of decision processes. This paper focuses on the handling of uncertainties in such decision processes. Monte Carlo approaches can be used to model, propagate and finally visualise the uncertainties, as a case study on a hypothetical radiological accident scenario illustrates. In general, the presented approach can be adopted for any complex decision situation, especially for industrial emergencies. Further research would be necessary for the analysis of their consequences for entire supply chains. Keywords: risiko und notfallmanagement unter unsicherheit

scholarly journals Comprehensive Assessment of Water Sensitive Urban Design Practices based on Multi-criteria Decision Analysis via a Case Study of the University of Melbourne, Australia

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2885
Author(s):  
Hanxiang Xiong ◽  
Yafei Sun ◽  
Xingwei Ren
Keyword(s):  
Decision Analysis ◽  
Urban Design ◽  
Comprehensive Assessment ◽  
Multi Criteria Decision Analysis ◽  
Water Sensitive Urban Design ◽  
Final Score ◽  
Green Stormwater Infrastructure ◽  
A Site ◽  
The University

Water sensitive urban design (WSUD), as a typical green stormwater infrastructure (GSI), contains various facilities to decrease the urbanization impacts and enhance the values of amenity, ecosystem, and livability in Australia. Although WSUD has developed over 30 years, existing studies for WSUD performances have sometimes ignored its economic and social benefits, and there is still a lack of an integrated framework to optimize the GSI combinations based on various criteria in a site. This paper aims to utilize “score-rank-select” strategy to comprehensively assess WSUD combination scenarios from functional, economic, social, and environmental aspects, by taking the University of Melbourne (Parkville campus) as a case study. In detail, multi-criteria decision analysis (MCDA) was used for weight determination and scenario comparison. The results showed that scenario 4 with 52% green WSUD facilities had the highest assessment score (0.771) among the five scenarios, while the final score (0.758) of scenario 5 was lower than scenario 4 although its green facility proportion reached 69%. The trade-off relation between the proportion of grey and green WSUD facilities was further demonstrated. Additionally, this paper strongly recommends that the MCDA-based comprehensive assessment framework described here can be generally promoted for the water sector to solve the decision-making problems. The use of such a framework can further promote sustainable development by helping water managers to make informed and inclusive decisions involving a variety of factors.

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