Riparian vegetation represents a protective barrier between human activities installed in catchments and capable of generating and exporting large amounts of contaminants, and stream water that is expected to keep quality overtime. This study explored the combined effect of landscape composition and buffer strip width (L) on stream water quality. The landscape composition was assessed by the forest (F) to agriculture (A) ratio (F/A), and the water quality by an index (IWQ) expressed as a function of physico-chemical parameters. The combined effect (F/A × L) was quantified by a multiple regression model with an interaction term. The study was carried out in eight catchments of Uberaba River Basin Environmental Protection Area, located in the state of Minas Gerais, Brazil, and characterized by very different F/A and L values. The results related to improved water quality (larger IWQ values) with increasing values of F/A and L, which were not surprising given the abundant similar reports widespread in the scientific literature. But the effect of F/A × L on IWQ was enlightening. The interaction between F/A and L reduced the range of L values required to sustain IWQ at a fair level by some 40%, which is remarkable. The interaction was related to the spatial distribution of infiltration capacity within the studied catchments. The high F/A catchments should comprise a larger number of infiltration patches, allowing a dominance of subsurface flow widespread within the soil layer, a condition that improves the probability of soil water to cross and interact with a buffer strip before reaching the stream. Conversely, the low F/A catchments are prone to the generation of an overland flow network, because the absence of permanent vegetation substantially reduces the number of infiltration patches. The overland flow network channelizes runoff and conveys the surface water into specific confluence points within the stream, reducing or even hampering an interaction with a buffer strip. Notwithstanding the interaction, the calculated L ranges (45–175 m) are much larger than the maximum width imposed by the Brazilian Forest Code (30 m), a result that deserves reflection.
In many regions across the planet, flood events are now more frequent and intense because of climate change and improper land use, resulting in risks to the population. However, the procedures to accurately determine the areas at risk in regions influenced by inadequate land uses are still inefficient. In rural watersheds, inadequate uses occur when actual uses deviate from land capability, and are termed environmental land use conflicts. To overcome the difficulty to evaluate flood vulnerability under these settings, in this study a method was developed to delineate flood vulnerability areas in a land use conflict landscape: the Batatais municipality, located in the State of São Paulo, Brazil. The method and its implementation resorted to remote sensed data, geographic information systems and geo-processing. Satellite images and their processing provided data for environmental factors such as altitude, land use, slope, and soil class in the study area. The importance of each factor for flood vulnerability was evaluated through the analytical hierarchy process (AHP). According to the results, vast areas of medium to high flood vulnerability are located in agricultural lands affected by environmental land use conflicts. In these areas, amplified flood intensities, soil erosion, crop productivity loss and stream water deterioration are expected. The coverage of Batatais SP municipality by these vulnerable areas is so extensive (60%) that preventive and recovery measures were proposed in the context of a land consolidation–water management plan aiming flood control and soil and water conservation.
The water quality is related to the hydrologic and limnologic properties of ground and surface water, and significant efforts have been made to monitor water sources to understand the effects of land use changes in agricultural areas, with significant socioeconomic activities. The objective of this study was to evaluate the qualitative aspects of surface water in subbasins related to land use. Samples were analyzed in terms of physical and chemical parameters on monthly discrete water quality sampling in four representative sites at first order subbasin streams, located at the Polo Regional Centro Norte, Pindorama County, State of São Paulo, Brazil. The land use classification was made by visual detection technique in a multispectral satellite data obtained from LandSat8-spectral bands of the OLI sensor. The watershed was classified into major land cover/use classes and overlay maps generated in ArcGIS 10 indicated a significant shift from natural vegetation to agriculture activities. Water quality monitoring was according to the brazilian protocol and the results were submitted to analysis of variance (ANOVA). The values obtained differ significantly at each sampling point -subbasins, reflecting the effects of land use on water quality. Soil conservation management is important to optimize soil use in order to contribute to the control of water pollution and the formulation of a public policy is necessary for the conservation of water and soil resources.Keywords: soil management, agroecosystems, land use policy. Efeito do uso do solo em sub-bacias na qualidade da água: um estudo de caso na Bacia do Córrego da Olaria, Estado de São Paulo, Brasil ResumoA qualidade da água está relacionada com as propriedades hidrológicas e limnológicas das águas subterrâneas e superficiais, e esforços significativos devem ser realizados para monitorar as nascentes no intuito de compreender os efeitos das mudanças no uso da terra em áreas agrícolas, com atividades socioeconômicas significativas. O objetivo deste estudo foi avaliar os aspectos qualitativos das águas superficiais de bacias hidrográficas e correlacionar com o uso do solo. As amostras foram analisadas em termos dos parâmetros físicos e químicos na amostragem mensal discreta da qualidade da água, em quatro locais representativos de nascentes em microbacias de primeira ordem, localizadas no Polo Regional Centro Norte, Pindorama, Estado de São Paulo, Brasil. A classificação do uso do solo foi feita por técnica de detecção visual em uma imagem multiespectral de satélite LandSat8-bandas espectrais, sensor OLI. O uso do solo foi classificado nas principais classes de uso e os mapas de sobreposição gerados no ArcGIS 10 indicaram uma mudança significativa da vegetação natural para as atividades agrícolas. O monitoramento da qualidade da água
The exploitation of natural resources has grown mainly due to the high rate of population growth that changed over time around the planet. Water is one of the most needed resources essential for survival. Despite all the efforts made to improve water security, an environmental impact related to anthropogenic influence remains of great concern, which is the alteration of surface and groundwater quality. In many regions around the world, there is limited or no access to rural and urban water supply while there is a need to improve sanitation facilities. This work evaluated the spatial distribution of groundwater and surface water quality as well as their changes in wet and dry seasons of the tropical climate in the Atlantic Forest Biome. The study area is under anthropogenic influence, which is in the municipality of Igarassú, Pernambuco State, Brazil. The analysis of the raw water was based on Standard Methods for Examination of Water and Wastewater, as referenced in the Brazilian Ministry of Health Consolidation Ordinance that sets standards for drinking water. The temporal analyses indicated a variation on water quality from the wet to the dry seasons, whereas the spatial results revealed deviations from the Brazilian’s Water Supply Standards for some physicochemical parameters. There was an increase in the values of some parameters during the wet season in some hydrological compartments. The anthropized rural area from the Atlantic Forest Biome is affecting the water quality. It is, therefore, necessary to develop environmental policies and put them into practice by implementing engineering projects that guarantee proper treatment for raw water in order to bring the water quality back to a good status in this region.
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