Impact des rejets urbains et industriels sur la qualité des eaux de la plaine de la Meboudja (Algérie)

Un site aquifère contaminé, situé en bordure de l’oued Meboudja (Annaba, Algérie), a été caractérisé en mettant en place une surveillance de la qualité des eaux de surface et souterraines affectées par les nombreux rejets industriels et urbains sur une période de 11 ans (1999?2009). Les déchets industriels sont déposés directement sur le sol et les effluents sont déversés dans l’oued Meboudja sans aucun traitement préalable. Les eaux souterraines présentent une conductivité électrique élevée (de 1000 à 6000 μS/cm), de fortes teneurs en chlorure et en sodium avec respectivement un maximum de 1400 et 730 mg/L. Partant des résultats de l’analyse en composantes principales effectuée sur 33 puits en juillet 2009, les trois principaux processus responsables de l’évolution chimique observée au niveau de l’aquifère ont été identifiés: (a) l’apport salifère du lac Fetzara et le lessivage des formations métamorphiques carbonatées (responsables de l’augmentation de la minéralisation) ; (b) l’alimentation de la nappe par les eaux de l’oued Meboudja, recevant de nombreux polluants industriels (responsable des fortes teneurs en fer et en manganèse) ; et (c) l’utilisation des produits chimiques dans l’agriculture (responsable de l’augmentation des teneurs en nitrates). Les fortes minéralisations sont enregistrées notamment dans les puits situés à proximité des rejets industriels. En outre, de fortes concentrations métalliques en fer et en manganèse sont observées dans les eaux de l’oued. L’évolution de ces deux éléments dans les eaux de la nappe au cours d’un cycle hydrologique montre que l’augmentation des teneurs est liée notamment à une réalimentation de la nappe par l’oued et à une mauvaise oxygénation de la nappe. L’existence de niveaux argileux peut en effet jouer le rôle d’écran en surface et favoriser les conditions réductrices dans la nappe. La Meboudja agit par conséquent comme une source diffuse de contaminants tout au long de son parcours. Les caractéristiques hydrodynamiques de l’aquifère ont été estimées à l’aide de l’interprétation des données des pompages d’essai effectués dans plus d’une dizaine de puits. Des modèles d’écoulement et de transport de polluants ont été élaborés en utilisant le code MODFLOW-MT3D. L’ampleur de la migration des contaminants a été évaluée pendant une période de 11 ans (1999?2009). L’interaction oued-nappe est considérée comme responsable de la migration des contaminants dans la plaine de la Meboudja.

EDITEUR Z. W. Kundzewicz

EDITEUR ASSOCIÉ C. Leduc     

Utilization of bituminous limestone ash from EL-LAJJUN area for engineering applications

The following work aims at minimizing the environmental impact of the solid wastes (ash) that is produced after the utilization of the bituminous limestone in thermal power stations and /or retort processes. Limy ash has been prepared from the El-Lajjun bituminous limestone by direct combustion at 1,200, 950, and 525°C respectively. The laboratory tests have been selected with respect to construction needs and possible post construction conditions. Utilization of the various types of ash in the stabilization problematic soils from Jordan as brown soils and the clayey marl has revealed optimum results. The unconfined compressive strength of the parent brown soil and the clayey marl has been raised from 5 kg/cm² to 50 and 25 kg/cm², respectively. The CBR value has been raised from 4.5 to 150% for both problematic soil types. Various mortars and construction elements can be produced at normal room curing temperature without the use of ordinary Portland cement (OPC). Low quality sub-base and base course can be mixed with ash to produce cement treated base (CTB) and roller compacted concrete (RCC) without OPC. Durable pavements, embankments can be constructed with very long life and low cost. CTB and RCC utilizing ash can be used in dam construction instead of normal soil in earth fill dams. The high alkalinity of El-Lajjun ash is considered as a disadvantage to be utilized in normal concrete mixes for structural purposes. Ash only can be mixed with aggregates to produce lean concrete like for blinding purposes to be prepared for foundation activities.     

Groundwater recharge zones mapping using GIS: a case study in Southern part of Jordan Valley,Jordan

This paper aims at mapping the potential groundwater recharge zones in the southern part of Jordan Valley (JV). This area is considered as the most important part for agricultural production in Jordan. The methodology adopted in this study is based on utilizing the open ended SLUGGER-DQL score model, which was developed by Raymond et al (2009). Geographic information systems were used in this study to build up the different layers of this model and to create the potential groundwater recharge zones. Based on the generated SLUGGER-DQL potential map, it was found that about 70.8 % of the investigated area was categorized as high potential for groundwater recharge, 18.7 % as moderate, and 10.5 % as low potential for groundwater recharge. To validate the model results, sensitivity analysis was carried out to assess the influence of each model parameter on the obtained results. Based on this analysis, it was found that the slope parameter (S) is the most sensitive parameter among SLUGGER-DQL model parameters, followed by water level in summer (L), well density (D), water quality (Q), runoff availability (R), land use/land cover, geology (GE), whereas the lowest sensitive parameter is the geology parameter (GE). Moreover, the parameters R, D, and Q show the lowest effective weights. The effective weight for each parameter was found to differ from the assigned theoretical weight by SLUGGER-DQL index model.     

Non‐linear stochastic inversion of gravity data via quantum‐behaved particle swarm optimisation: application to Eurasia–Arabia collision zone (Zagros,Iran)

Potential field data such as geoid and gravity anomalies are globally available and offer valuable information about the Earth's lithosphere especially in areas where seismic data coverage is sparse. For instance, non‐linear inversion of Bouguer anomalies could be used to estimate the crustal structures including variations of the crustal density and of the depth of the crust–mantle boundary, that is, Moho. However, due to non‐linearity of this inverse problem, classical inversion methods would fail whenever there is no reliable initial model. Swarm intelligence algorithms, such as particle swarm optimisation, are a promising alternative to classical inversion methods because the quality of their solutions does not depend on the initial model; they do not use the derivatives of the objective function, hence allowing the use of L₁ norm; and finally, they are global search methods, meaning, the problem could be non‐convex. In this paper, quantum‐behaved particle swarm, a probabilistic swarm intelligence‐like algorithm, is used to solve the non‐linear gravity inverse problem. The method is first successfully tested on a realistic synthetic crustal model with a linear vertical density gradient and lateral density and depth variations at the base of crust in the presence of white Gaussian noise. Then, it is applied to the EIGEN 6c4, a combined global gravity model, to estimate the depth to the base of the crust and the mean density contrast between the crust and the upper‐mantle lithosphere in the Eurasia–Arabia continental collision zone along a 400 km profile crossing the Zagros Mountains (Iran). The results agree well with previously published works including both seismic and potential field studies.     

Long-term analog of carbonation in travertine from Uleimat Quarries, Central Jordan

Quaternary travertine capping the metamorphic (cement) zones in Uleimat Quarries, central Jordan, has been precipitated from hyperalkaline paleogroundwaters. Such waters are similar to the cement pore water and to the present day hyperalkaline seepages (pH 12.5) in Maqarin, north Jordan. The isotopic depletions observed in Uleimat travertine, with δ¹³C values as low as −25.45‰, suggest that they have been precipitated during CO₂ uptake by highly alkaline calcium hydroxide waters. The travertine in Uleimat Quarries indicates a long-term analog of carbonation and remobilization of silica in cementitious barriers for radioactive waste repositories. The presence of Cr-rich smectites and relatively high levels of Cr (4.1%), V (657 ppm), Ni (163 ppm), Zn (634 ppm) and U (34 ppm) in the green travertine and the associated opaline silica phases suggests the use of the Uleimat travertines as analogs with the repository disturbed zone. Smectites and silica phases are expected to be a sink for alteration products in the late stage evolution of a high pH plume. Co-precipitation of these elements in mineral phases is of great importance to control the concentration of these elements in groundwater.     

Origin of water salinity in a lake and coastal aquifer system

The studied area is in the Algerian Northeast. A number of interacting factors at the site are able to modify salinity. The main influences are: (1) The lithology, (2) Fedzara Lake, (3) marine waters, and (4) a prolonged drought. (1) The lithology is very clearly delineated by the outcrop of metamorphic formations (gneiss, marbles, micaschists, and quartzites) and sedimentary formations (limestones, clay, sandstones, and sands). All these formations can influence the chemical composition of waters. (2) Fedzara Lake evacuates its salted waters via the Wadi Meboudja, which connects with the Wadi Seybouse and the phreatic surface. These lake waters might induce changes in salinity. (3) The marine waters represent the third source of salinity change. Over-pumping of water from wells and drillings can cause an imbalance to the fresh–salted water interface. (4) The effects of a local prolonged drought of more than 10 years may increase water salinity. Over-pumping to augment water supply generates a fall in water levels and the drier atmosphere increases evapotranspiration. Both may contribute to increased salinity. Results of water analysis were used to observe the evolution of these various factors.     

Exploring the application of a flood risk management Serious Game platform

Based on the experience gained with SeCom2.0, we will explain the impact of game-based learning and provide an overview of the current use of Serious Games in teaching flood risk management in Germany. SeCom2.0 is a collaborative learning platform, which deals with a flood situation in Cologne. The use of Serious Games in flood risk management is still limited due to many factors. The article will give a deeper insight into the SeCom2.0 project, explaining the pedagogical design and the development. We will cover the pitfalls and possible suggestions for further development to facilitate wider use of such games by adapting the settings to local conditions. This article will also describe how a Serious Game can support lifelong learning for students and employees involved in flood risk management. The key components, design patterns and structure of or SeCom2.0 are described, along with ideas to implement selected topics in flood risk management in an engaging gaming environment.     

Using of neural networks for the prediction of nitrate groundwater contamination in rural and agricultural areas

As a neural network provides a non-linear function mapping of a set of input variables into the corresponding network output, without the requirement of having to specify the actual mathematical form of the relation between the input and output variables, it has the versatility for modeling a wide range of complex non-linear phenomena. In this study, groundwater contamination by nitrate, the ANNs are applied as a new type of model to estimate the nitrate contamination of the Gaza Strip aquifer. A set of six explanatory variables for 139 sampled wells was used and that have a significant influence were identified by using ANN model. The Multilayer Perceptrons (MLP), Radial Basis Function (RBF), Generalized Regression Neural Network (GRNN), and Linear Networks were used. The best network found to simulate Nitrate was MLP with six input nodes and four hidden nodes. The input variables are: nitrogen load, housing density in 500-m radius area surrounding wells, well depth, screen length, well discharge, and infiltration rate. The best network found had good performance (regression ratio 0.2158, correlation 0.9773, and error 8.4322). Bivariate statistical test also were used and resulting in considerable unexplained variation in nitrate concentration. Based on ANN model, groundwater contamination by nitrate depends not on any single factor but on the combination of them.     

Using Portable Gamma-Ray Spectrometry for Testing Uranium Migration: A Case Study from the Wadi El Kareim Alkaline Volcanics, Central Eastern Desert, Egypt

The 300±20 Ma anomalously radioactive trachytes of Wadi El Kareim, central Eastern Desert, are a significant example of U-mineralization related to the alkaline volcanics in Egypt. Extensive portable gamma-ray spectrometric data has been utilized to identify geological factors controlling uranium mobility in the geological units along the three detailed study locations of Kab Al-Abyad, South Wadi (W) Al-Tarafawy and W. Al-Farkhah; their eTh/eU ratios averaging around 4.1, 3.7 and 5.6 respectively. Quantitative analysis with the integration of mobility maps and geological studies suggest two systems controlling U-migration within the geological units (confined system and unconfined system). In the confined system, the syngenetically formed U have experienced mobility after leaching and are redistributed in the presence of an incorporation carrier during transportation (probably as carbonate complexes). Then the retardant for uranium is achieved by sorption or by coprecipitation with the aid of Fe oxy-hydroxide, and finally the formation of immobile secondary U-bearing minerals takes place along a lithogeochemical trap. In contrast to the confined system, the unconfined one is basically lacking the lithogeochemical trap which in?uences the final accumulation of U-bearing minerals. The radioactivity of the trachyte rocks arises from the radioactive minerals uranophane and beta-uranophane with U- and/or Th-bearing minerals samarskite, Th-rich REE silicates, monazite and allanite.