Understanding human development, poverty and water scarcity patterns in the Brazilian Semi-arid through cluster analysis

2021 ◽  
Vol 125 ◽  
pp. 167-178
Author(s):  
Douglas Sathler
Keyword(s):  
Cluster Analysis ◽  
Human Development ◽  
Water Scarcity ◽  
Semi Arid

scholarly journals REÚSO DE ÁGUA E CONSTRUÇÃO DE CENÁRIOS FUTUROS: PERSPECTIVAS E DESAFIOS PARA REGIÕES SEMIÁRIDAS

polemica ◽  
2018 ◽  
Vol 18 (2) ◽  
pp. 072-086
Author(s):  
Sandra Sereide Ferreira da Silva ◽  
Vera Lúcia Antunes De Lima ◽  
Ângela Maria Cavalcanti Ramalho ◽  
Allan Carlos Alves
Keyword(s):  
Water Resources ◽  
Water Scarcity ◽  
Water Reuse ◽  
Arid Regions ◽  
Environmental Aspects ◽  
The Public ◽  
Building Model ◽  
The Social ◽  
The Subject ◽  
Semi Arid

Resumo: A escassez da água em regiões áridas e semiáridas tem sido tema de debates, políticas e pesquisas com o objetivo principal de subsidiar as ações capazes de permitir o seu aproveitamento racional, permitindo a convivência da população com os períodos de seca ou reduzida precipitação. Assim, a escassez de água tem conduzido à implantação de projetos de desenvolvimento, que têm como desafio a busca de alternativas de convivência com a seca que conduzam a melhorias sociais. Com base nesse contexto, este estudo tem como objetivo propor a criação de um modelo de construção de cenários para viabilidade do reúso de água para ser utilizado como elemento mitigador das implicações da seca em regiões semiáridas. O modelo de construção de cenários é um importante instrumento de gerenciamento de recursos naturais, neste caso específico, recursos hídricos, pois permite envolver um grande número de participantes, tem a possibilidade de orientar o debate público para a construção estratégica coletiva de um futuro almejado, contribui para um eficaz processo de aprendizagem organizacional no âmbito do Sistema Nacional de Gerenciamento de Recursos Hídricos visando um melhor entendimento, tanto dos aspectos ambientais quanto dos aspectos sociais e institucionais relacionados aos recursos hídricos no País, em especial, nas regiões semiáridas. Como se trabalham e convivem com a incerteza, os cenários procuram analisar e sistematizar as diversas probabilidades dos eventos e dos processos por meio da exploração dos pontos de mudança e das grandes tendências, de modo que as alternativas mais prováveis sejam antecipadas.Palavras-chaves: Recursos Hídricos. Reúso de Água. Regiões Semiáridas. Construção de Cenários.Abstract: Water scarcity in arid and semi-arid regions has been the subject of debates, policies and research with the main objective of subsidizing actions capable of allowing their rational use, allowing the population to coexist with periods of drought or reduced precipitation. Thus, water scarcity has led to the implementation of development projects, which challenge the search for alternatives to coexistence with drought that lead to social improvements. Based on this context, this study aims to propose the creation of a model for the construction of scenarios for the feasibility of water reuse to be used as a mitigating element of the drought implications in semi-arid regions. The scenario building model is an important tool for managing natural resources, in this specific case, water resources, since it allows a large number of participants to be involved, it has the possibility of guiding the public debate towards the collective strategic construction of a desired future, contributes to an effective organizational learning process within the National Water Resources Management System aiming at a better understanding of both the environmental aspects and the social and institutional aspects related to the water resources in the Country, especially in the semi-arid regions. As they work and coexist with uncertainty, the scenarios seek to analyze and systematize the various probabilities of events and processes by exploring the points of change and the major trends, so that the most likely alternatives are anticipated.Keywords: Water Resources. Water reuse. Semi-Arid Regions. Construction of Scenarios.

scholarly journals Group multicriteria model for allocating resources to combat drought in the Brazilian semi-arid region

Water Policy ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 1145-1160 ◽  
Author(s):  
Thomas Edson Espíndola Gonçalo ◽  
Danielle Costa Morais
Keyword(s):  
Water Scarcity ◽  
Arid Region ◽  
Rio Grande ◽  
Decision Makers ◽  
The Public ◽  
The World ◽  
Multicriteria Model ◽  
Semi Arid Region ◽  
Semi Arid ◽  
Made In

AbstractThe world is facing a growing water scarcity problem in the most diverse regions. The Rio Grande do Norte (RN), a Brazilian semi-arid region, is facing its severest drought in the last 100 years. Given this context, managing water resources and combating the effects of the drought have become even more important. Decisions made in this context may involve multiple criteria established by more than one decision-maker. To tackle this issue, a multicriteria model for group decisions is proposed in order to rank the municipalities of the region and thus guide the public administration's efforts in tackling the drought and mitigating its effects. The applicability of the model is exemplified by studying the Apodi-Mossoró river basin, for which the PROMETHEE GDSS method was selected and the preferences of three decision-makers were calculated.

scholarly journals Metode Analisis Diskriminan dalam Pengelompokan Kabupaten/Kota di Provinsi Sulawesi Selatan Berdasarkan Indikator Indeks Pembangunan Manusia

2020 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Novi Afryanthi S. ◽  
Muhammad Arif Tiro ◽  
Ansari Saleh Ahmar
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Discriminant Analysis ◽  
Life Expectancy ◽  
Human Development ◽  
Human Development Index ◽  
Statistic Analysis ◽  
Development Index ◽  
South Sulawesi ◽  
Life Expectancy Increase

Abstract. Discriminant analysis is a method in multivariat statistic analysis that related with object which have separated into the defined group defined and see the accuracy  of the formed group. In this research, clustera analysis is used for the first grouping,  cluster  analysis is a statistical analysis which aims to classify some objects based on the characteristics similarity among the object. Data for this study is HDI (Human Development Index)  of indicator in south sulawesi in 2016. The result of this research are 1st cluster (lower  HDI indicator) which have 21 city/ distric and the 2nd cluster (higher  HDI indicator) which have 3 city/distric as the closeness value between the cluster that formed is 0.902 which shows the closeness between the cluster is high . Furthermore, the discriminant function that have formed explains that if the life expectancy increase, the HDI indicator in city/distric in south sulawesi province will decrease but if school  expectation duration in school , average of duration in school, and parity of pur hasing power is increasing, the HDI indicator in city/distric in aouth sulawesi will also increase.Keywords: Cluster analysis, Discriminant analysis , Human development index indicator.

scholarly journals Droughts and governance impacts on water scarcity: an~analysis in the Brazilian semi-arid

2015 ◽  
Vol 369 ◽  
pp. 129-134 ◽  
Author(s):  
A. C. S. Silva ◽  
C. O. Galvão ◽  
G. N. S. Silva
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Climate Variability ◽  
Extreme Events ◽  
Water Scarcity ◽  
Ecological Systems ◽  
Drought Event ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Semi Arid

Abstract. Extreme events are part of climate variability. Dealing with variability is still a challenge that might be increased due to climate change. However, impacts of extreme events are not only dependent on their variability, but also on management and governance. In Brazil, its semi-arid region is vulnerable to extreme events, especially droughts, for centuries. Actually, other Brazilian regions that have been mostly concerned with floods are currently also experiencing droughts. This article evaluates how a combination between climate variability and water governance might affect water scarcity and increase the impacts of extreme events on some regions. For this evaluation, Ostrom's framework for analyzing social-ecological systems (SES) was applied. Ostrom's framework is useful for understanding interactions between resource systems, governance systems and resource users. This study focuses on social-ecological systems located in a drought-prone region of Brazil. Two extreme events were selected, one in 1997–2000, when Brazil's new water policy was very young, and the other one in 2012–2015. The analysis of SES considering Ostrom's principle "Clearly defined boundaries" showed that deficiencies in water management cause the intensification of drought's impacts for the water users. The reasons are more related to water management and governance problems than to drought event magnitude or climate change. This is a problem that holdup advances in dealing with extreme events.

scholarly journals Spatial Prediction of Groundwater Potentiality in Large Semi-Arid and Karstic Mountainous Region Using Machine Learning Models

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2273
Author(s):  
Mustapha Namous ◽  
Mohammed Hssaisoune ◽  
Biswajeet Pradhan ◽  
Chang-Wook Lee ◽  
Abdullah Alamri ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Scarcity ◽  
Rural Areas ◽  
Information Gain ◽  
Arid Zones ◽  
Learning Models ◽  
Statistical Measures ◽  
Groundwater Potentiality ◽  
Semi Arid ◽  
Machine Learning Models

The drinking and irrigation water scarcity is a major global issue, particularly in arid and semi-arid zones. In rural areas, groundwater could be used as an alternative and additional water supply source in order to reduce human suffering in terms of water scarcity. In this context, the purpose of the present study is to facilitate groundwater potentiality mapping via spatial-modelling techniques, individual and ensemble machine-learning models. Random forest (RF), logistic regression (LR), decision tree (DT) and artificial neural networks (ANNs) are the main algorithms used in this study. The preparation of groundwater potentiality maps was assembled into 11 ensembles of models. Overall, about 374 groundwater springs was identified and inventoried in the mountain area. The spring inventory data was randomly divided into training (75%) and testing (25%) datasets. Twenty-four groundwater influencing factors (GIFs) were selected based on a multicollinearity test and the information gain calculation. The results of the groundwater potentiality mapping were validated using statistical measures and the receiver operating characteristic curve (ROC) method. Finally, a ranking of the 15 models was achieved with the prioritization rank method using the compound factor (CF) method. The ensembles of models are the most stable and suitable for groundwater potentiality mapping in mountainous aquifers compared to individual models based on success and prediction rate. The most efficient model using the area under the curve validation method is the RF-LR-DT-ANN ensemble of models. Moreover, the results of the prioritization rank indicate that the best models are the RF-DT and RF-LR-DT ensembles of models.

scholarly journals Investigating Inequalities in Access to Healthcare: The Case of Townships of Kermanshah, Iran

2019 ◽  
Author(s):  
Sohyla Reshadat ◽  
Alireza Zangeneh ◽  
Shahram Saeidi ◽  
Raziyeh Teimouri ◽  
Shirin Zardui GolAnbari ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Medical Care ◽  
Human Development ◽  
Human Development Index ◽  
Hierarchical Cluster ◽  
Health Facilities ◽  
Unequal Distribution ◽  
Development Index ◽  
The Mean ◽  
Access To Medical Care

Abstract Background: Access to medical care is one of the major issues affecting human health. This study aims to investigate inequality in access to medical care in the townships in Kermanshah, Iran. Methods: Methodology approach includes a descriptive-analytic study followed by determining the degree of development of the townships calculated in terms of access to medical care through the hierarchical cluster analysis and the combined model of human development index. Additionally, the mean center and standard distance tests are handled in a geographic information system software to identify the deployment pattern of the status of access to medical care indexes. Results: As for the ratio of physicians, nursing staff, paramedical staff, administrative staff of health care, dentists, pharmacists, hospitals, general and specialized clinics, radiology, rehabilitation centers and laboratories to a population of 10,000, the results of analyzing the findings were indicative of unequal distribution of facilities at the level of townships. This is based on The results of comparing the mean centers of population and health facilities showed that the centers of both data categories were located in Kermanshah. The two standard distances (i.e., population and health facilities) demonstrated that the health facilities witnessed more dispersion in the northwestern regions than the concentration of population in the central and southeastern regions of the province. Conclusions: The results indicated that the indexes of development of facilities and healthcare resources were not distributed equitably and with a balance between the townships of the Kermanshah Province. Keywords: healthcare; medical care inequality; human development index; spatial analysis, cluster analysis; Kermanshah, Iran

scholarly journals Cross-country analysis of correlation between protection of women’s economic and social rights, health improvement and sustainabledevelopment

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e021350
Author(s):  
Kamiar Alaei ◽  
Sedef Akgüngör ◽  
Weng-Fong Chao ◽  
Sayyida Hasan ◽  
Allyson Marshall ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Human Rights ◽  
Health Outcomes ◽  
Human Development ◽  
Women's Rights ◽  
Health Improvement ◽  
Women’S Rights ◽  
Social Rights ◽  
Country Analysis ◽  
Cross Country

ObjectiveThe goal of this study is to assess the correlation between protection of women’s economic and social rights (WESR), health improvement and sustainable development.MethodsA cross-country analysis of 162 countries was employed to assess development, health and human rights of the countries by measuring associated variables. Data sets for the health, human rights and economic and social rights of these countries were from 2004 to 2010. The dependent variables are health and human development and the independent variables are the human rights variables. Regression analysis and principle axis factoring were used for extraction and varimax method for rotation. Country grouping was made using cluster analysis. Potential biases, resulting from measurement differences in human rights values, were eliminated by using z-transformation to standardise variables.ResultsRegression results reveal that WESR variable is correlated with the health outcomes. Cluster analysis separated the countries into three clusters, based on the WESR variable. Countries where WESR were ‘highly respected’ (44 countries) are categorised into cluster 1; countries where WESR were ‘moderately respected’ (51 countries) are categorised into cluster 2 and countries where WESR were ‘poorly respected’ (63 countries) are categorised into cluster 3. Countries were then compared in their respective clusters based on health and human development variables. It was found that the countries which ‘highly respected’ WESR had better average health values compared with the second and third clusters. Our findings demonstrate that countries with a strong women’s rights status ultimately had better health outcomes.ConclusionWESR status has correlation with the health and human development. When women’s rights are highly respected, the nation is more likely to have higher health averages and accelerated development.

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