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1.
Environ Sci Pollut Res Int ; 25(18): 17690-17715, 2018 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-29671229

RESUMEN

Urban agriculture is crucial to local populations, but the risk of it contaminating water has rarely been documented. The aim of this study was to assess pesticide contamination of surface waters from the Méfou watershed (Yaoundé, Cameroon) by 32 selected herbicides, fungicides, and insecticides (mainly polar) according to their local application, using both grab sampling and polar organic compounds integrative samplers (POCIS). Three sampling campaigns were conducted in the March/April and October/November 2015 and June/July 2016 rainy seasons in urban and peri-urban areas. The majority of the targeted compounds were detected. The quantification frequencies of eight pesticides were more than 20% with both POCIS and grab sampling, and that of diuron and atrazine reached 100%. Spatial differences in contamination were evidenced with higher contamination in urban than peri-urban rivers. In particular, diuron was identified as an urban contaminant of concern because its concentrations frequently exceeded the European water quality guideline of 0.200 µg/L in freshwater and may thus represent an ecological risk due to a risk quotient > 1 for algae observed in 94% of grab samples. This study raises concerns about the impacts of urban agriculture on the quality of water resources and to a larger extent on the health of the inhabitants of cities in developing countries. Graphical abstract ᅟ.


Asunto(s)
Atrazina/análisis , Diurona/análisis , Fungicidas Industriales/análisis , Herbicidas/análisis , Insecticidas/análisis , Plaguicidas/análisis , Agricultura , Atrazina/química , Camerún , Ciudades , Diurona/química , Agua Dulce , Fungicidas Industriales/química , Herbicidas/química , Insecticidas/química , Compuestos Orgánicos , Plaguicidas/química , Lluvia , Ríos , Contaminación del Agua , Calidad del Agua
2.
Sci Total Environ ; 461-462: 528-40, 2013 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-23756213

RESUMEN

Assessing water supply capacity is crucial to meet stakeholders' needs, notably in the Mediterranean region. This region has been identified as a climate change hot spot, and as a region where water demand is continuously increasing due to population growth and the expansion of irrigated areas. The Hérault River catchment (2500 km(2), France) is a typical example and a negative trend in discharge has been observed since the 1960s. In this context, local stakeholders need first to understand the processes controlling the evolution of water resources and demands in the past to latter evaluate future water supply capacity and anticipate the tensions users could be confronted to in the future. A modelling framework is proposed at a 10-day time step to assess whether water resources have been able to meet water demands over the last 50 years. Water supply was evaluated using hydrological modelling and a dam management model. Water demand dynamics were estimated for the domestic and agricultural sectors. A water supply capacity index is computed to assess the extent and the frequency to which water demand has been satisfied at the sub-basin scale. Simulated runoff dynamics were in good agreement with observations over the calibration and validation periods. Domestic water demand has increased considerably since the 1980s and is characterized by a seasonal peak in summer. Agricultural demand has increased in the downstream sub-basins and decreased upstream where irrigated areas have decreased. As a result, although most water demands were satisfied between 1961 and 1980, irrigation requirements in summer have sometimes not been satisfied since the 1980s. This work is the first step toward evaluating possible future changes in water allocation capacity in the catchment, using future climate change, dam management and water use scenarios.


Asunto(s)
Agricultura/métodos , Cambio Climático , Modelos Teóricos , Ríos , Ciclo Hidrológico , Movimientos del Agua , Abastecimiento de Agua , Agricultura/estadística & datos numéricos , Predicción , Francia , Estaciones del Año
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