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Impact of the Municipal Solid Waste Typology on Leachate Flow Under Semi-Arid Climate – A Case Study

Arabi Mourad, Sbaa Mohamed, Vanclooster Marnik, Darmous Ahmed

Journal of Ecological Engineering

2020

Vol. 21, nr 6

94--101

As recently created, the landfill site of Oujda, Morocco receives an annual flow of municipal solid wastes of 140000 tons. It became clear that the leachate storage ponds were undersized compared to the actually emanating flows. With no adequate treatment, the storage time of leachates in deep and anaerobic ponds increase and produce olfactory nuisances directly affecting the air quality of the nearest agglomerations. The monitoring of leachate flows during a year, showed the daily average production of 126 m3 (annual cumulative leachate is 46800 m3). Thus, highest volumes were recorded during the summer season (4716 m3 in July 4945 m3 in August, and 4927 m3 in September) with a monthly average rate of 3700 m3. In addition, the monitoring of leachate flows exhibits seasonal variations. Simultaneously, the MSW’s typology and moisture content study showed the dominance of organic matter (73%) and high moisture content (63.5%). The results obtained are an essential asset for any decision in order to achieve appropriate leachates treatment with a possibility of recirculation into the landfill cells to enhance removal of their toxic contents.

The added value of spatially distributed meteorological data for simulating hydrological processes in a small Mediterranean catchment

Gara Ahlem, Gader Khouloud, Khlifi Slaheddine, Vanclooster Marnik, Jendoubi Donia, Bouvier Christophe

Acta Geophysica

2020

Vol. 68, no. 1

133--153

The purpose of this paper was to demonstrate the added value of the spatial distribution of rainfall and potential evapotranspiration (PE) in the prediction of the discharge for a small Mediterranean catchment located in the Medjerda basin in Tunisia, i.e. the Raghay. We compare therefore the performance of a conceptual hydrological model available in the ATHYS platform, using global and spatial distributed input data. The model was implemented in two diferent ways. The frst implementation was in a spatially distributed mode, and the second one was in a non-distributed lumped mode by using spatially averaged data weighed with a Thiessen-interpolated factor. The performance of the model was analysed for the distributed mode and for the lumped mode with a cross-validation test and through several modelling evaluation criteria. Simultaneously, the impact of the spatial distribution of meteorological data was assessed for the two cases when estimating the model parameters, the fow and water amounts, and the fow duration curves. The cross-validation of the split-sample test shows a preference for the spatially distributed model based on accuracy criteria and graphical comparison. The distributed mode required, however, more simulation time. Finally, the results reported for the Raghay indicated that the added value of the spatial distribution of rainfall and PE is not constant for the whole series of data, depending on the spatial and temporal variability of climate data over the catchment that should be assessed prior to the modelling implementations.