Automated Author ProfileValadão, Giovana Franco
Valadão, Giovana Franco
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract: This article aimed to identify the most suitable areas for the implementation of irrigation systems, in the Centra I-West portion of the Tocantins-Araguaia Basin, through the application of Multicriteria Analysis, considering socioeconomic indicators of the 178 municipalities that make up this region. Methodologically, from the bibliographic and documental research, the socioeconomic indicators were selected, in an amplitude that allowed an economic, demographic, social and environmental characterization of the basin and, at the same time, to delimit areas that could be used for irrigation projects, through interviews with experts in the field of irrigation and Multicriteria Analysis. The results showed that the basin has 29.2% of its area with restrictions on the implementation of irrigation systems; on the other hand, more than 70% of the area of the basin presented a high and very high class of aptitude, being able to verify that the region of greater aptitude is found, mainly, in the Planning Region of the Northeast of Goiás, considered strategic for investments, aiming at minimizing regional imbalances. In this sense, it is possible to conclude that the Multicriteria Analysis method proved to be satisfactory for this study, facilitating decision-making, in line with the National Irrigation Policy objectives, which aim to promote local and regional development, with priority for the regions with low social and economic indicators. In other words, the results can contribute to support decisions on investments to be made, within the perspective of social responsibility and sustainable development, by targeting those areas of greater vulnerability and social exclusion.
Authors
- Loreto, Maria das Dores Saraiva de ;
- Silva, Aline Oliveira ;
- Venâncio, Luan Peroni ;
- Moraes, Camile Arêdes ;
- Valadão, Giovana Franco
Abstract: This article aimed to identify the most suitable areas for the implementation of irrigation systems, in the Centra I-West portion of the Tocantins-Araguaia Basin, through the application of Multicriteria Analysis, considering socioeconomic indicators of the 178 municipalities that make up this region. Methodologically, from the bibliographic and documental research, the socioeconomic indicators were selected, in an amplitude that allowed an economic, demographic, social and environmental characterization of the basin and, at the same time, to delimit areas that could be used for irrigation projects, through interviews with experts in the field of irrigation and Multicriteria Analysis. The results showed that the basin has 29.2% of its area with restrictions on the implementation of irrigation systems; on the other hand, more than 70% of the area of the basin presented a high and very high class of aptitude, being able to verify that the region of greater aptitude is found, mainly, in the Planning Region of the Northeast of Goiás, considered strategic for investments, aiming at minimizing regional imbalances. In this sense, it is possible to conclude that the Multicriteria Analysis method proved to be satisfactory for this study, facilitating decision-making, in line with the National Irrigation Policy objectives, which aim to promote local and regional development, with priority for the regions with low social and economic indicators. In other words, the results can contribute to support decisions on investments to be made, within the perspective of social responsibility and sustainable development, by targeting those areas of greater vulnerability and social exclusion.
Authors
- Loreto, Maria das Dores Saraiva de ;
- Silva, Aline Oliveira ;
- Venâncio, Luan Peroni ;
- Moraes, Camile Arêdes ;
- Valadão, Giovana Franco