Development of a Multivariate Model Focused on the Analysis of Water Availability in Mexico
| Autor: | Hugo Romero-Montoya, José-Luis Martínez-Flores, Diana Sánchez-Partida, Patricia Cano-Olivos |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Multivariate statistics
010504 meteorology & atmospheric sciences Statistical assumption Geography Planning and Development multivariate model 0207 environmental engineering Distribution (economics) Aquifer Feature selection 02 engineering and technology water availability Aquatic Science 01 natural sciences Biochemistry Linear regression Econometrics 020701 environmental engineering TD201-500 0105 earth and related environmental sciences Water Science and Technology geography geography.geographical_feature_category Water supply for domestic and industrial purposes business.industry Hydrological Administrative Regions (RHA) Hydraulic engineering SINA (National Water Information System) Transformation (function) Outlier Environmental science TC1-978 business |
| Zdroj: | Water Volume 13 Issue 13 Water, Vol 13, Iss 1779, p 1779 (2021) |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w13131779 |
| Popis: | The present study proposes developing a multivariate model that predicts water availability in Mexico through 26 variables related to aquifers, renewable water, demographic characteristics, rivers and basins, dams, and irrigation factors. The information inherent to them was extracted from the platform of the national water system using records from the 13 administrative hydrological regions between 2010 and 2017. The model is based on the multiple linear regression model and the variable selection method. The results show different versions of the model contrasted concerning the statistical assumptions of the multiple regression. Although the findings presented have implications in the development of strategies focused on a better distribution of the vital liquid, in the face of various projected scenarios based on the variables analyzed, it should be noted that the progressive improvement of the model was carried out through the use of techniques such as the transformation of variables, detection, and elimination of outliers. The final result is water availability in the face of various drought conditions explained by a model with 16 relevant variables. Said prediction model is helpful for the generation of drought mitigation strategies. |
| Databáze: | OpenAIRE |
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