O setor de saneamento no Brasil tem demonstrado força e flexibilidade diante das dificuldades . Em janeiro de , o Presidente Luiz Inácio Lula da Silva assinou uma nova lei federal de água e saneamento (Lei /07 para o. 25 set. Four decades later, the enactment of Federal Law of 05/01/, which .. LEONELLI, G. C. V. A construção da lei federal de parcelamento do solo urbano . Institui a Política Nacional de Saneamento e cria. Passados nove anos da Lei do Saneamento, que define as diretrizes to the National Plan for Basic Sanitation (PlanSab) based on Law No 11,/ —.

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August 19, ; Accepted: After these tests, we used an octagonal rotation using the Varimax method to interpret the solution. Within the international context, there is a growing utilization of performance indicators in the sanitation sector to monitor the providing of, regulation of, and planning of these services Sperling and Sperling, This is an estimate, because an attribute cannot always be measured by just one indicator.

In addition, it was necessary to differentiate the value of zero, to not arrive li a geometric value of zero, by considering the value closest to zero.

Secretaria do Meio Ambiente. To accomplish this, we used 83 metric variables, and 9 dichotomic variables related to urban drainage which has a scarcity of data. In terms of the WSW Dr indicator, the value of 25 is much larger than the second largest value. Sanitation indicators Within the international context, there is a growing utilization of performance indicators in the sanitation sector to monitor the providing of, regulation of, and planning of these services Sperling and Sperling, Thematic content analysis of the Sanitation Law confirmed four components: Identifying the methodological characteristics of European green city rankings.

Based on these themes, the indicators were selected to understand the correlated structure formed by them. The second form of analysis is the value of each of the factors. Como citar este artigo.

What these three rankings have in common is that they are based on indicators or indices that are applied to cities and that range in number from 12 to The degree to which the results can be generalized was tested by dividing the sample randomly into two sub-samples and the results of the Varimax rotation loads, the commonalities, and the factor structure proved to be stable, because there was no representative load of the variable in other factors.

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The correlation matrix analysis considered only values above 0. To do this, it will be necessary to monitor the sanitation situation in municipalities to determine the dimensions of the effort and resources necessary. A study of sanitation of toilets in elementary and senior Secondary schools located in rural areas of Uttarakhand state in India.

Only Profile I had a large reduction in representativeness. For the municipality groupings, we have adopted the city typology as suggested by Meijering, Kern and Tobiavoiding the comparison of municipalities that have different characteristics.

The visualization of the classification results facilitates the interpretation of information in a clear and objective manner. Abstract After nine years of the Sanitation Law that defines the national guidelines in this area, it is still necessary to clarify the elements characterizing basic sanitation, and seek tools that enable monitoring sanitation in municipalities. After nine years of the Sanitation Law that defines the national guidelines in this area, it is still necessary to clarify the elements characterizing basic sanitation, and seek tools that enable monitoring sanitation in municipalities.

The FA summarizes the variables and generates factor scores for the municipalities. International Journal of Sociology and Anthropologyv. In this sense, it seeks to represent these municipalities by typology in a table format for the initial interpretation by placing each municipality within the group that it belongs to.

Saneamento no Brasil – Wikipédia, a enciclopédia livre

The criteria for the extraction of the number of factors was the latent root, with only eigenvalues greater than 1 being swneamento significant, which resulted in three factors or latent dimensions: Since this is an explanatory study, our application focuses on a group of municipalities to evaluate the possibility of this type of usage. This data demonstrates the need for improvements in basic sanitation.

As far as opportunities are concerned, this methodology can be applied to other states saneamentto future studies, and there is a need for greater breadth in terms of indicators to monitor adequate sanitation services in these municipalities. According to Hair and collaboratorsthe factor score represents the degree to which each municipality has a an elevated score within the group of items that have elevated weights for a given factor; that is, higher values with elevated weights for a factor result in a larger factor score.

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Step 3 is based on exploratory factor analysis FA to determine lie structure of the relationships between the variables Corrar, Paulo and Dias Filho, Rio de Janeiro, The justification for this factor score is that it is computed based on the factor weights of all of the variables that make up a factor, avoiding a repetition of information. In this sense, different weights were not attributed due to theoretical importance; equal weights were considered for all of the factors. The normalization was performed based on taking the lowest factor score and summing the other values.

To summarize these characteristics, we applied factor analysis using R, which analyzes a group of variables to identify its latent dimensions.

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Table 2 shows the quantities of the state municipalities and their respective typologies as well as those of the sample.

There is also a sanitation ranking initiative that has been undertaken 1145 the government of India. From the point of view of public administration, the monitoring of data is important and necessary in order to accompany the progress of activities, improve the transparency of dee accounting, and demonstrate results Schwemlein, Cronk and Bartram, Of the 16 attributes, the data selection managed to include only eight of them, and some of them only partially.

In terms of the aggregation of the factors, we opted for the geometric average due sandamento facility of applying it and to reduce, at least partially, the problem of it being a compensatory technique. Practical Perspectives Sanitation indicators: In general, the MBSI values for municipalities are very close to each other.