Estudo da qualidade das águas subterrâneas no Estado da Paraíba e desenvolvimento de aplicação para análise crítica dos dados.

Abstract

The Brazilian semiarid region has faced severe water crisis situations since the colonial period, limiting the potential socioeconomic evolution of the population in the area. The interior of the state of Paraíba is primarily located in this region, suffering from the same problems. The lack of major rivers for water supply and consistent rainfall exacerbates the situation. Thus, the drilling of wells, whether by private initiative or through government programs, has been used as a mitigating measure for water supply problems. However, the quality and quantity of groundwater can be a hindrance to investments, as most of the region is underlain by brackish and low-flow reservoirs, making drilling a high-cost investment with dubious returns. Multiple sources of information about the soils andwells in the region are provided by funding agencies and responsible government institutions. However, these sources are disjointed and scattered, hindering academic production and general knowledge about the region’s aquifers. The produced work aimed to conduct a study on the quality of wells in the state of Paraíba, gathering public information about 19,363 local wells, with 6,933 wells containing flow rate data and 1,014 wells containing total dissolved solids (TDS) data. The information was organized using database language and stored in cloud-based storage, along with the creation of a user interface (UI) for data manipulation using Javascript language and mapping system using Geographic Information System (GIS) provided by the ArcGIS system. In conjunction with well data, a survey of soil data was conducted, provided by the Brazilian Agricultural Research Corporation (EMBRAPA), hydrogeological domains provided by the Geological Survey of Brazil (SGB, former CPRM), and rainfall data provided by the NationalWater Agency (ANA) of the regions, along with a survey of the state’s regional divisions provided by the Brazilian Institute of Geography and Statistics (IBGE). The data obtained from the institutions were attached to the UI using overlay