POSTERShttp://depot.umc.edu.dz/handle/123456789/134732026-06-02T12:04:39Z2026-06-02T12:04:39ZGROUNDWATER RECHARGE OF AQUIFERS IN SEMI-ARID ZONE: EXAMPLE FROM THE KSOUR RIDGE, NW ALGERIAYOUSFI, SomiaKERZABI, RachidMANSOUR, HamidiMUDRY, Jacqueshttp://depot.umc.edu.dz/handle/123456789/135952022-12-18T14:05:21Z2015-11-24T00:00:00ZGROUNDWATER RECHARGE OF AQUIFERS IN SEMI-ARID ZONE: EXAMPLE FROM THE KSOUR RIDGE, NW ALGERIA
YOUSFI, Somia; KERZABI, Rachid; MANSOUR, Hamidi; MUDRY, Jacques
In a recharge area characterized by a semiarid or an arid climate, therefore a low annual rainfall, effective rainfall is
the hardiest item to estimate, as it was demonstrated by classical monthly hydrological balance computations.
2015-11-24T00:00:00ZEVALUATION DE LA QUALITE PHYSICO CHIMIQUE DES EAUX DE L'OUED EL KEBIR ET DE SES PRINCIPAUX affluentsYALLES SATHA, ASAMRAOUI, Bhttp://depot.umc.edu.dz/handle/123456789/135932022-12-18T13:59:35Z2015-11-24T00:00:00ZEVALUATION DE LA QUALITE PHYSICO CHIMIQUE DES EAUX DE L'OUED EL KEBIR ET DE SES PRINCIPAUX affluents
YALLES SATHA, A; SAMRAOUI, B
En Algérie, Le problème de l’eau est aggravé ces dernières années par une sécheresse qui a
territoire de notre pays, et qui a montré
(REMINI, 2010).
2015-11-24T00:00:00ZHYDRODYNAMISME ET HYDROCHIMIE DES EAUX DE LA NAPPE ALLUVIALE D’OUED NIL (WILAYA DE JIJEL, NE ALGERIEN)MAHDID, SDEBIECHE, T.HCHABOUR, Nhttp://depot.umc.edu.dz/handle/123456789/135912022-12-18T13:53:02Z2015-11-24T00:00:00ZHYDRODYNAMISME ET HYDROCHIMIE DES EAUX DE LA NAPPE ALLUVIALE D’OUED NIL (WILAYA DE JIJEL, NE ALGERIEN)
MAHDID, S; DEBIECHE, T.H; CHABOUR, N
La plaine alluviale d’oued Nil présente un grand potentiel hydrique, vu sa pluviométrie élevée (1200
mm/an) et l’épaisseur important (70 m) de son aquifère. Une quarantaine de forages sont implantés au niveau de
la plaine pour répondre aux besoins en eaux potable de plusieurs agglomérations limitrophe (Chekfa, Taher,
Bazoul,...) et en eaux d’irrigation. Le débit de pompage de ses stations de pompagr varie entre 14 et 50 l/s.
2015-11-24T00:00:00ZMODELLING BIOCHEMICAL OXYGEN DEMAND (BOD5) USING ARTIFICIAL NEURAL NETWORK BASED APPROACH: CASE STUDY OF SIDI MAROUANE WASTEWATER TREATMENT PLANT (WWTP) AT BENI HAROUN DAM RESERVOIRHEDDAM, SalimLAMDA, HilalFILALI, Samirhttp://depot.umc.edu.dz/handle/123456789/135892022-12-18T13:48:37Z2015-11-24T00:00:00ZMODELLING BIOCHEMICAL OXYGEN DEMAND (BOD5) USING ARTIFICIAL NEURAL NETWORK BASED APPROACH: CASE STUDY OF SIDI MAROUANE WASTEWATER TREATMENT PLANT (WWTP) AT BENI HAROUN DAM RESERVOIR
HEDDAM, Salim; LAMDA, Hilal; FILALI, Samir
In this study, Multi-Layer Perceptron Neural Networks (MLPNN) and multiple linear regression
(MLR) models were employed to predict the effluent Biochemical Oxygen Demand (BOD5) from a wastewater
treatment plant (WWTP) of Sidi Marouane WWTP at Beni Haroun Dam Reservoir, Algeria. The two models are
built using many variables, namely temperature of water (TE), conductivity (EC), water pH, suspended solids (SS),
chemical oxygen demand (COD) and Biochemical oxygen demand (BOD5).
2015-11-24T00:00:00Z