Wyniki wyszukiwania - BazTech

1

Hydrochemical and isotopic methods of identifying the impact of irrigation on the quality of groundwater: a case study from the guelma-bouchegouf region, ne Algeria

Soltani Akram, Djabri Larbi, Fehdi Chemseddine, Bouguerra Hamza, Salah Eddine Tachi

Geomatics, Landmanagement and Landscape

|

2023

|

no. 4

211--233

EN

The Guelma-Bouchegouf irrigated perimeter uses water from the Bouhamdane dam between May and the end of October. It should be noted that the water is channelled to the perimeter via Seybouse Wadi, which serves as a water collector. The water is supplied during the dry season, which causes water pollution due to strong evaporation and industrial discharges. Moreover, during the summer period irrigation increases since the crops grown are industrial tomatoes, melon, watermelon and beans, requiring intense and sustained watering. The measurement of the conductivity of the water flow shows a clear increase from 3000 μs/cm to 6000 μs/cm. This increase is connected to interactions between water and rock, compounded by the adverse impact of climate change. It should be noted that during this period the average temperature is 26°C and sometimes temperature values exceeding 40°C are recorded. In addition, industrial discharges into the Seybouse Wadi occur without pre-treatment, leading to water pollution by heavy metals. The results of the analyzes of the Seybouse Wadi waters show the presence of pollutants such as iron, manganese, zinc, copper and nutrients in the upstream zone (Guelma region). In the downstream area (Annaba) we notice the presence of pollutants such as chromium, lithium, iron, manganese and nutrients.

2

Groundwater’s physicochemical and bacteriological assessment: Case study of well water in the region of Sedrata, North-East of Algeria

Malek Amina, Kahoul Mohamed, Bouguerra Hamza

Journal of Water and Land Development

|

2019

|

no. 41

91--100

EN

Drinking water is a possible source of humans’ illness when it contains chemicals and microorganisms especially from anthropogenic activities. The water supply from groundwater remains very important in Algeria. To assess the quality of groundwater in the region of Sedrata, analyses were carried out on 26 wells belonging to two neighbouring areas: one urban and the other rural. A study of physicochemical parameters has focused on the measurement of in situ temperature, electrical conductivity, pH and turbidity. Then the following parameters were analysed: hardness, and the elements: Ca2+, Mg2+, SO4 2–, PO4 3–, Cl–, NO2 –, NO3 –, NH4 + as well as metal trace elements Fe2+, Mn2+, Al3+. The samples taken for the bacteriological study were filtered and introduced into growth medium for the research and enumeration of total germs, faecal coliforms, faecal streptococci and sulphite reducing Clostridium. As a result, the contamination of the studied waters is almost general. Some of the most important obtained values are ranging from 4.8 to 76 mg∙dm–3 for nitrates, the recorded values for mesophilic germs vary from 1 to 1100 CFUs∙cm–3. Agricultural activity and livestock products on the one hand and the use of fertilizers on the other hand are the main sources of physicochemical and bacteriological pollution. Contaminated wells should be treated as soon as possible to limit contamination before spreading in the deep aquifers. In the future, it will be necessary not only to assess the health risks related to the level of contamination of these waters, but also to proceed with their treatment before supplying them to consumers.

PL

Woda pitna jest potencjalnym źródłem chorób, kiedy zawiera substancje chemiczne i mikroorganizmy pochodzące z działalności człowieka. Zaopatrzenie w wodę ze źródeł podziemnych odgrywa dużą rolę w Algierii. Aby ocenić jakość wód gruntowych w regionie Sedrata, przeprowadzono analizy w 26 studniach znajdujących się w dwóch sąsiadujących ze sobą obszarach – miejskim i wiejskim. Badania czynników fizycznych i chemicznych obejmowały pomiar in situ temperatury, przewodnictwa elektrolitycznego, pH i mętności wody. Analizowano także twardość, stężenie Ca2+, Mg2+, SO4 2–, PO4 3–, Cl–, NO2 –, NO3 –, NH4 + i metali śladowych Fe2+, Mn2+, Al3+. Próbki do badań bakteriologicznych sączono i wprowadzano na pożywkę w celu określenia stężenia całkowitej ilości mikroorganizmów, bakterii z grupy coli, fekalnych streptokoków i siarkowych bakterii Clostridium. Wyniki dowodzą, że zanieczyszczenie badanych wód jest powszechne. Spośród najbardziej znaczących wyników należy wymienić stężenie azotanów w zakresie od 4,8 do 76 mg∙dm–3 i mezofilnych bakterii od 1 do 1100 jtk∙cm–3. Rolnictwo, hodowla i chów zwierząt oraz stosowanie nawozów są głównymi źródłami fizycznego, chemicznego i bakteriologicznego zanieczyszczenia wód. Skażone studnie powinny być oczyszczane tak szybko, jak to możliwe, aby zapobiec rozprzestrzenianiu się zanieczyszczeń w całym poziomie wodonośnym. W przyszłości konieczna jest ocena ryzyka zdrowotnego w związku ze skażeniem wód, ale także ich uzdatnianie przed dostarczeniem tych wód do konsumentów.

3

Suspended sediment discharge modeling during flood events using two different artificial neural network algorithms

Bouguerra Hamza, Tachi Salah-Eddine, Derdous Oussama, Bouanani Abderrazak, Khanchoul Kamel

Acta Geophysica

|

2019

|

Vol. 67, no. 6

1649--1660

EN

This paper presents modeling of artificial neural network (ANN) to forecast the suspended sediment discharges (SSD) during flood events in two different catchments in the Seybouse basin, northeastern Algeria. This study was carried out on hourly SSD and water discharge data during flood events from a period of 31 years in the Ressoul catchment and of 28 years in the Mellah catchment. The ANNs were trained according to two different algorithms: the Levenberg–Marquardt algorithm (LM) and the Quasi-Newton algorithm (BFGS). Seven input combinations were trained for the SSD prediction. The performance results indicated that both algorithms provided satisfactory simulations according to the determination coefficient (R2) and root mean squared error (RMSE) performance criteria, with priority to the BFGS algorithm; the coefficient of determination using the LM algorithm varies between 51.0 and 90.2%, whereas using the BFGS algorithm it varies between 54.3 and 93.5% in both studied catchments, with calculated improvement for all seven developed networks with the best improvement in the Ressoul catchment presented in ANN06 with ΔR2 4.23% and ΔRMSE 1.74‰, and with the best improvement presented in ANN05 with ΔR2 6.07% and ΔRMSE 0.71‰ in the Mellah catchment. The analysis showed that the use of Quasi-Newton method performed better than the Levenberg–Marquardt in both studied areas.