https://repositorio.ufba.br/handle/ri/6902 2026-05-03T07:09:20Z 2026-05-03T07:09:20Z Almeida, Giovana Vieira, José Marques, Alfeu Sá Kiperstok, Asher Cardoso, Alberto https://repositorio.ufba.br/handle/ri/15104 2022-08-26T14:02:28Z 2013-01-01T00:00:00Z

Título: Estimating the potential water reuse based on fuzzy reasoning Autor(es): Almeida, Giovana; Vieira, José; Marques, Alfeu Sá; Kiperstok, Asher; Cardoso, Alberto Abstract: Studies worldwide suggest that the risk of water shortage in regions affected by climate change is growing. Decision support tools can help governments to identify future water supply problems in order to plan mitigation measures. Treated wastewater is considered a suitable alternative water resource and it is used for non-potable applications in many dry regions around the world. This work describes a decision support system (DSS) that was developed to identify current water reuse potential and the variables that determine the reclamation level. The DSS uses fuzzy inference system (FIS) as a tool and multi-criteria decision making is the conceptual approach behind the DSS. It was observed that water reuse level seems to be related to environmental factors such as drought, water exploitation index, water use, population density and the wastewater treatment rate, among others. A dataset was built to analyze these features through water reuse potential with a FIS that considered 155 regions and 183 cities. Despite some inexact fit between the classification and simulation data for agricultural and urban water reuse potential it was found that the FIS was suitable to identify the water reuse trend. Information on the water reuse potential is important because it issues a warning about future water supply needs based on climate change scenarios, which helps to support decision making with a view to tackling water shortage. Tipo: Artigo de Periódico

2013-01-01T00:00:00Z Moraes, Luiz Roberto Santos https://repositorio.ufba.br/handle/ri/14221 2022-08-26T14:03:14Z 2007-01-01T00:00:00Z

Título: Acondicionamento e coleta de resíduos sólidos domiciliares e impactos na saúde de crianças residentes em assentamentos periurbanos de Salvador, Bahia, Brasil Autor(es): Moraes, Luiz Roberto Santos Abstract: O artigo apresenta estudo do acondicionamento e coleta de resíduos sólidos domiciliares e o impacto na saúde de crianças, por meio de pesquisa realizada em nove assentamentos humanos localizados em área periurbana da cidade de Salvador, Bahia, Brasil. Como indicadores epidemiológicos foram utilizados, em 1.893 crianças entre 5 e 14 anos, a infecção por nematóides intestinais, expressa pela prevalência de Ascaris lumbricoides, Trichuris trichiura e ancilostomídeos, e em 1.204 crianças menores de cinco anos, a incidência de diarréia e o estado nutricional, este expresso por indicadores antropométricos. Os resultados apresentam a maior prevalência dos três nematóides nas crianças dos domicílios que não dispõem de acondicionamento adequado e de coleta de resíduos sólidos que naquelas de domicílios com acondicionamento adequado e coleta regular, sendo a diferença encontrada estatisticamente significante, mesmo quando outros fatores de risco sócio-econômicos, culturais, demográficos e ambientais são considerados. Resultado semelhante é também observado com relação aos indicadores epidemiológicos, incidência de diarréia e estado nutricional. Tipo: Artigo de Periódico

2007-01-01T00:00:00Z Srdjevic, Bojan Medeiros, Yvonilde Dantas Pinto https://repositorio.ufba.br/handle/ri/14046 2022-08-26T14:03:44Z 2008-01-01T00:00:00Z

Título: Fuzzy AHP assessment of water management plans Autor(es): Srdjevic, Bojan; Medeiros, Yvonilde Dantas Pinto Abstract: There are two mainstreams when using the analytic hierarchy process (AHP). One is the standard applications of crisp distributive and ideal mode versions. The other is characterised by fuzzification of the AHP methodology and by attempts to better tackle inherently uncertain and imprecise decision processes with quantitative and qualitative data. The latter is characterised by different approaches to fuzzificating the decision problem; the way of conducting judgment and evaluating process; and finally, in synthesising the results and manipulating fuzzy numbers to devise priorities for the decision alternatives. This paper presents a fuzzy methodology for solving fully structured decision problems with criteria, sub-criteria and alternatives. It follows the logic of AHP in a simple and straightforward manner, efficiently aggregates criteria and sub-criteria into unique hierarchical level and applies a total integral method for comparing decision alternatives. The proposed methodology has been used for the assessment of water management plans in part of the Paraguacu River Basin in Brazil. Tipo: Artigo de Periódico

2008-01-01T00:00:00Z Medeiros, Yvonilde Dantas Pinto Porto, Rubem La Laina Srdjevic, Bojan https://repositorio.ufba.br/handle/ri/13940 2022-08-26T14:03:12Z 2005-01-01T00:00:00Z

Título: Data envelopment analysis of reservoir system performance Autor(es): Medeiros, Yvonilde Dantas Pinto; Porto, Rubem La Laina; Srdjevic, Bojan Abstract: In long-term performance analyses of water systems with surface reservoirs for different operating scenarios, the analyst (or decision maker) is faced with two connected problems: (1) how to handle the extensive output of the simulation model and derive information on the scenarios scores for a prescribed set of performance criteria, and (2) how to compare scenarios in a multi-criterial sense while identifying the most desired. The data sets may overburden the analyst, while an evaluating procedure may be subjective due to personal preferences, attitudes, knowledge and miscellaneous factors. The data envelopment analysis (DEA) approach proposed here seems to be reliable in treating these situations, and sufficiently objective in evaluating and ranking the scenarios. Certain performance indices are defined as evaluating criteria in a standard multi-criterial sense, and then virtually divided into scenarios' output and input measures. By considering scenarios as product units, the DEA optimizes the weights of inputs and outputs, computes productivity efficiency for each unit, and rank them appropriately. Omitting the analyst's personal judgment on the technical parameters that describe system's performance restricts, in this way, the influence of the decision maker. A case study application on the reservoir system in Brazil proved that a methodological connection for solving decision problems with discrete alternatives really exists between the DEA and standard multi-criteria methods. Tipo: Artigo de Periódico

2005-01-01T00:00:00Z