O Uso da Geoestatística na Avaliação dos Parâmetros Hidrogeológicos para Compor o Mapa de Vulnerabilidade Intrínseca de Aquíferos
| Autor: | Jorge Carvalho, Ronaldo Lopes Rodrigues Mendes, Erico Gaspar Lisboa |
|---|---|
| Jazyk: | portugalština |
| Rok vydání: | 2016 |
| Předmět: |
lcsh:Hydraulic engineering
Gaussian vulnerability 0208 environmental biotechnology lcsh:River lake and water-supply engineering (General) 02 engineering and technology Aquatic Science Oceanography lcsh:Technology Cross-validation Geoestatística Normality test symbols.namesake Cidade de Belém/PA lcsh:TC1-978 Kriging groundwater Statistics Variogram lcsh:Environmental sciences Randomness Earth-Surface Processes Water Science and Technology Mathematics lcsh:GE1-350 Hydrology lcsh:TC401-506 Hydrogeology city of belém/pa Mathematical model lcsh:T lcsh:Geography. Anthropology. Recreation geostatistical 020801 environmental engineering lcsh:G Vulnerabilidade symbols Águas subterrâneas |
| Zdroj: | RBRH v.21 n.1 2016 RBRH Associação Brasileira de Recursos Hídricos (ABRH) instacron:ABRH Revista Brasileira de Recursos Hídricos, Vol 21, Iss 1, Pp 188-199 |
| Popis: | The aim of this study is to perform a geostatistical estimation of hydrogeological parameters to compose the intrinsic vulnerability map for an aquifer. The study presents an exploratory analysis of well data extracted from the Groundwater Information System (SIAGAS), which refer to parameters such as degree of confining, lithology and static level. Therefore, initially, among other procedures, we look for inconsistent data, we produce descriptive statistics and we also apply a normality test to the dataset. The following steps were to make up the primary space description of the respective parameters based on the corresponding identified patterns, randomness and grouping of well data in addition to exploring the existence of a tendency along certain directions. After the preliminary steps, the geostatistical methodology is then applied divided into three phases. The first refers to the variogram study, characterized by the construction of the experimental variograms. In the second phase, automatic adjustment is made to these variograms for three mathematical models: spherical, exponential and gaussian. Then, by cross validation, the performance is estimated for the different models adjusted using statistical indicators. After validation of these models, the last phase takes place, in which we perform the geostatistical estimation by kriging. The estimated values of hydrogeological parameters, when jointly multiplied, composes the estimation of the intrinsic vulnerability index illustrated in the form of a map. This proposal was applied in an area partially covering the city of Belem. The results showed that the methodological approach represents an excellent planning and management tool for the protection of groundwater aquifers. |
| Databáze: | OpenAIRE |
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