scholarly journals DECISION SUPPORT SYSTEMS FOR WATER RESOURCE MANAGEMENT APPLIED TO ANDEAN SUPPLY MICRO-BASINS

2019 ◽  
Author(s):  
CARLOS MATOVELLE
2014 ◽  
Vol 70 ◽  
pp. 1324-1333 ◽  
Author(s):  
A. Pierleoni ◽  
S. Camici ◽  
L. Brocca ◽  
T. Moramarco ◽  
S. Casadei

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2642 ◽  
Author(s):  
Thuc D. Phan ◽  
James C. R. Smart ◽  
Ben Stewart-Koster ◽  
Oz. Sahin ◽  
Wade L. Hadwen ◽  
...  

Bayesian networks (BNs) are widely implemented as graphical decision support tools which use probability inferences to generate “what if?” and “which is best?” analyses of potential management options for water resource management, under climate change and socio-economic stressors. This paper presents a systematic quantitative literature review of applications of BNs for decision support in water resource management. The review quantifies to what extent different types of data (quantitative and/or qualitative) are used, to what extent optimization-based and/or scenario-based approaches are adopted for decision support, and to what extent different categories of adaptation measures are evaluated. Most reviewed publications applied scenario-based approaches (68%) to evaluate the performance of management measures, whilst relatively few studies (18%) applied optimization-based approaches to optimize management measures. Institutional and social measures (62%) were mostly applied to the management of water-related concerns, followed by technological and engineered measures (47%), and ecosystem-based measures (37%). There was no significant difference in the use of quantitative and/or qualitative data across different decision support approaches (p = 0.54), or in the evaluation of different categories of management measures (p = 0.25). However, there was significant dependence (p = 0.076) between the types of management measure(s) evaluated, and the decision support approaches used for that evaluation. The potential and limitations of BN applications as decision support systems are discussed along with solutions and recommendations, thereby further facilitating the application of this promising decision support tool for future research priorities and challenges surrounding uncertain and complex water resource systems driven by multiple interactions amongst climatic and non-climatic changes.


2008 ◽  
Vol 14 (3) ◽  
pp. 260-278 ◽  
Author(s):  
Dalė Dzemydienė ◽  
Saulius Maskeliūnas ◽  
Ignas Dzemyda

The interoperability problems of distributed databases are important in the developing of the operatively working web services aimed for all sectors of public administration. The following web services are designed for solving tasks in water resource management and contamination evaluation sector with a due attention to the international environment protection context. The paper is devoted to problems of developing the component‐based architecture of the integrated decision‐support system that afford ground for the monitoring and intellectual analysis of water management. Such investigations are made according to the requirements of European Union (EU) Water Framework Directive, Sustainable development Directives and EIONET ReportNet infrastructure. The main components of decision‐support system are analyzed by using different knowledge modelling and web service development techniques. The structure of water resource management information system (WRMIS) becomes the core of the decision‐support system in which web services are implemented. The main components for evaluation of processes of contamination and water monitoring are represented by data warehouse structures. The solutions to satisfy the interoperability requirements are demonstrated by architectural design decisions of the system, integrating the distributed data warehouses and geographical information system means. The web services are based on common portal technology. The organizational and political arrangements require deeper and stronger participation activities by all member states of EU in reporting, understanding the importance of sustainable development problems and risk evaluation possibilities. Santrauka Vandens išteklių valdymas ir nutekamojo vandens kokybės vertinimas yra viena svarbiausių problemų, susijusių su aplinkos apsaugos ir žmonių sveikatos uždaviniais. Vanduo yra vienas iš pagrindinių išteklių visiems biologinės įvairovės gyvavimo ciklams egzistuoti. Vandens kokybės reikalavimai daro įtaką daugeliui darniosios plėtros reikalavimų. Aplinkos apsaugos principai susideda iš daugelio tarpusavyje sąveikaujančių komponentų. Didelių įmonių, institucijų ir organizacijų veikla turėtų būti grindžiama įvairiopa atsakomybe už daromos veiklos ir žalos aplinkai padarinius. Nagrinėjami informacinių sistemų, vykdančių vandens užterštumo stebėseną ir analizę, sąveikumo užtikrinimo klausimai. Informacijos perteikimo metodai yra svarbūs kuriant konsultacines sistemas, kurios padėtų spręsti daugelį sprendimų priėmimo problemų, vertinant kompleksinius aplinkos taršos procesus. Šiame straipsnyje analizuojami pagrindiniai sprendimų paramos sistemos kūrimo komponentai aplinkos vertinimo sektoriuje, leidžiantys efektyviau spręsti šias problemas naudojant E-tinklus (vertinimo tinklus, t. y. Petri tinklų praplėtimą). Modeliai, leidžiantys atvaizduoti ir vertinti sprendimų priėmimo procesus, projektuojami keliais detalumo lygmenimis, taikant semantinio informacijos struktūrizavimo ir imitacinio modeliavimo priemones. Taršos procesai stebimi vykdant monitoringą, pirminius duomenis fiksuojant daugiamatėse duomenų saugyklose ir perteikiant vartotojams sprendimų paramos sistemos analizės priemonėmis. Aprašomi vandens išteklių ir nuotekų kontrolės duomenų analizės modeliai ir gauti rezultatai. Straipsnyje analizuojami pagrindiniai sprendimų paramos sistemos komponentai ir spendimams priimti svarbūs vandens ir aplinkos vertinimo rezultatai.


2014 ◽  
Vol 599-601 ◽  
pp. 1301-1304
Author(s):  
Wen Ming Zhang ◽  
Zheng Shen ◽  
Wen Jun Pan ◽  
Rong Hui Ye

This paper presents a prototype of GIS (Geographic Information System) and web-based decision support system (GWDSS) for regional water resource management and planning, which is a conjunctive application of GIS, Web and DSS technologies. The components involved and implementation of GWDSS are analyzed. The scenario analysis approach and embedded GIS functions are explained. Through the application of GWDSS in the case study region, GWDSS enables managers and decision makers to improve the regional strategic management and planning of water resources,and optimizes the use of water to satisfy the demands of competing stakeholders and protecting water resources.


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