Knowledge about soil moisture dynamics and their relation with rainfall, evapotranspiration, and soil physical properties is fundamental for understanding the hydrological processes in a region. Given the difficulties of measurement and the scarcity of surface soil moisture data in some places such as Northeast Brazil, modelling has become a robust tool to overcome such limitations. This study investigated the dynamics of soil water content in two plots in the Gameleira Experimental River Basin, Northeast Brazil. For this, Time Domain Reflectometry (TDR) probes and Hydrus-1D for modelling one-dimensional flow were used in two stages: with hydraulic parameters estimated with the Beerkan Estimation of Soil Transfer Parameters (BEST) method and optimized by inverse modelling. The results showed that the soil water content in the plots is strongly influenced by rainfall, with the greatest variability in the dry–wet–dry transition periods. The modelling results were considered satisfactory with the data estimated by the BEST method (Root Mean Square Errors, RMSE = 0.023 and 0.022 and coefficients of determination, R² = 0.72 and 0.81) and after the optimization (RMSE = 0.012 and 0.020 and R² = 0.83 and 0.72). The performance analysis of the simulations provided strong indications of the efficiency of parameters estimated by BEST to predict the soil moisture variability in the studied river basin without the need for calibration or complex numerical approaches.

Infiltration trenches are compensatory techniques that consist of a reservoir filled with granular material. Their function is to store and infiltrate runoff water generated by rainfall. The objective of this work was to evaluate the hydraulic performance and model the water dynamics of an infiltration trench installed in the city of Recife, Pernambuco, Brazil. For each event, the response time of the infiltration system, the percentage of the infiltrated volume and the dynamics of water storage processes were analyzed as a function of rainfall events. The Puls method was used to model the events. The monitoring data demonstrated that the infiltration trench had a positive performance, infiltrating a large part of the drained volume, even with system overflows. The analyzed events presented an average emptying time of 6 days. The infiltration trench achieved its objective of decreasing the volume drained on the surface. The application of the Puls method in simulations of the monitored events showed satisfactory results in the statistical criteria coefficient of determination, deviation ratio and coefficient of residual mass, obtaining efficient adjustments, apart from a few exceptions. This study allowed us to prove the positive contribution of the trench to the water budget.

Brazil’s primary sanitation sector has been neglected, especially concerning rural sanitation. Population dispersion and the difficulty of access in many rural communities bring more significant challenges to the universalization of the service and, consequently, vulnerabilities for the population. The present work builds a theoretical framework about the context of rural sanitation in Brazil, with history, weaknesses in the sector, the impact of COVID-19 and new technologies, and central public policies in the State of Pernambuco. It is known that COVID-19 has caused considerable challenges that, added to the obstacles to national sanitation, result in greater vulnerability to the population, especially for indigenous peoples, quilombolas, and diffuse rural communities. In the State of Pernambuco, certain policies, such as the One Million Rural Cisterns Program (P1MC), One Land and Two Waters Program (P1 + 2), Água Doce Program and Operação Pipa Program, significantly improved the quality of life of the rural population. However, these measures are not enough to remedy the sector’s shortcomings. Although alternative sanitation technologies bring hope to the sector, there is a long way to go towards the universalization of sanitation.

The semi-arid regions of northeastern Brazil have historically suffered from water shortage. In this context, monitoring and modeling the soil moisture’s dynamics with hydrological models in natural (Caatinga) and degraded (Pasture) regions is of fundamental importance to understand the dynamics of hydrological processes. Therefore, this work aims to evaluate the hydraulic parameters in Caatinga and Pasture areas using the Hydrus-1D inverse method. Thus, five soil hydraulic models present in Hydrus-1D were used, allowing the comparison of the single-porosity model with more complex models, which consider the dual porosity and the hysteresis of the porous medium. The hydraulic models showed better adjustments in the Caatinga area (RMSE = 0.01–0.02, R² = 0.61–0.97) than in the Pasture area (RMSE = 0.01–0.03, R² = 0.61–0.90). Regarding the hydraulic parameters, for all models, the Pasture showed smaller saturated hydraulic conductivity and water content values of the mobile region than the Caatinga. This fact demonstrates the negative impact of compaction and change in natural vegetation in the Brazilian semi-arid. The dual-porosity model presented the best fit to the data measured in the Pasture area. However, a single-porosity model could be considered representative of the Caatinga area. The results showed that Caatinga areas contribute to maintaining soil moisture and increasing the water storage in semi-arid regions.

The textile industry generates a large volume of chemically diversified effluents containing, among other compounds, dyes. Untreated wastes are contaminants to surface water, soil, and groundwater. In this aspect, various studies have explored the issue of contamination of alluvial soils in the Alto Capibaribe region, northeast of Brazil, due to local textile activity. This region, inserted into the Brazilian semiarid region, suffers from water scarcity, and there is a need for rural communities to use alluvial formations for water supply. The simulation of solute transport is a fundamental tool for understanding the environmental performance and risks associated with contamination by textile dyes. Transport parameters that directly influence pollutant dynamics in sedimentary environments are characterized. This study evaluated the retention and mobility of the dye Remazol Black 5 (RB5) in two superficial layers of alluvial soil from Alto Capibaribe to obtain transport parameters. In the laboratory, tests of mobility in soil columns with RB5 dye (concentration of the 25 mg L⁻¹) and KBr tracer (concentration of the 35.7 g L⁻¹) solutions were conducted. The CDE and two-region models were used to model the KBr experimental transport data, and the two-site model was used to model the RB5 experimental transport data. Physical non-equilibrium was found in the soils for KBr transport, and the two-region model adequately modeled the experimental breakthrough curves (BTCs). For the transport of RB5, the results showed a chemical non-equilibrium, and the two-site model was adequate to model the experimental BTCs. The results indicate that the surface layer is most responsible for the retention of RB5, where the RB5 solution was less mobile than in the lower layer. Both layers showed low retention and high mobility for RB5, indicating that the RB5 dye in the region may contaminate groundwater.

The semiarid region of Pernambuco has a large water deficit, leading the population to explore groundwater resources such as alluvial aquifers. The state of Pernambuco also stands out for having the second-largest textile manufacturing center in Brazil. However, the direct discharge of textile effluents from the region's industries has intensified the negative impacts on water conservation and alluvial soils. This work characterized the sorption of Direct Black 22 dye (DB22) in two layers of alluvial soil in the Capibaribe-PE basin. Batch experiments (kinetics and sorption isotherms) allowed the evaluation of the retention potential and mobility of this compound in this environment. Sorption kinetics were verified for stirring times of 0.25; 0.5; 1; 2; 4; 6; 8; 10; 12; 24; 48 and 72 hours and the experimental data was adjusted to the first- and second-order kinetic models. The isotherm occurred with concentrations of 1; 5; 10; 15; 20; 32.5 and 40 mg.L-1 and experimental data was adjusted to the linear, Freundlich and Langmuir models. The sorption kinetics of DB22 was best described by the second-order model, while the Freundlich and Linear models properly fitted sorption isotherms for Layers 1 and 2. The organic matter contents and the cation-exchange capacity of the soil layers influenced the sorption of the dye. The superficial layer privileges dye retention phenomena, while in the subsurface layer dye mobility phenomena prevail.