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Browsing by Subject "watershed"

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    Item type:Article, Access status: Open Access ,
    Mapping Groundwater-Potential Zones Using Geospatial and Decision-Making Approaches: Case Study of Ghiss-Nekkour Watershed in Northeastern Morocco
    (Wydawnictwa AGH, 2024) Mazzourh, Abdessamad; Taher, Morad; Ouhadi, Abdellah; Dakak, Houria; Dekkaki, Hinde Cherkaoui
    Accelerated population growth has led to a heightened demand for water resources, resulting in a notable decline in underground water storage – especially in coastal areas. To effectively manage this crucial resource, the objective of this research work is to identify potential groundwater recharge areas in the Ghiss-Nekkour watershed using Saaty’s multi-criteria analysis combined with GIS and remote-sensing techniques. Initially, this work involved gathering spatial information that was related to the various parameters that govern recharge and express it in thematic maps: slope, altitude, geology, rainfall, soil, land cover, and drainage density. A reclassification was made according to their degrees of involvement in the recharge process by Saaty’s analytical hierarchy process (AHP); this was followed by a weighting of these parameters. These were subsequently integrated into a GIS in order to establish a map of potential groundwater recharge zones in the Ghiss-Nekkour watershed. The groundwater-potential map resulted in five classes: – good (165 km$^2$) and excellent (0.9 km$^2$) aquifer recharge potentials – situated in north and southwest portions of study area; – moderate (617 km$^2$) aquifer recharge potentials – located in western and southern parts of watershed; – fair (551 km$^2$) and poor (44 km$^2$) aquifer recharge potentials – located in central zone and southeastern part of Ghiss-Nekkour watershed. Field surveys that were conducted in November 2022 and October 2023 validated the obtained results.
  • thumbnail.journal.alt
    Item type:Thesis, Access status: Restricted ,
    Zastosowanie komputerowej analizy obrazu do pomiaru ziarn kwarcu i spoiwa na mikroskopowych zdjęciach piaskowca
    (Data obrony: 2014-01-30) Kozieł, Mateusz
    Wydział Geologii, Geofizyki i Ochrony Środowiska
    Celem pracy jest stworzenie algorytmu analizy i przetwarzania obrazu w środowisku MATLAB, który w sposób automatyczny, przy wykorzystaniu dostępnej wiedzy, obliczy procent spoiwa, jego pole powierzchni, oraz średnie pole powierzchni i średnią długość obwodu ziarn kwarcu, a także rozkłady pól powierzchni i obwodów na mikroskopowych zdjęciach piaskowca. Zadaniem algorytmu jest ułatwienie pomiarów stereologicznych, które przeprowadzane manualnie często są bardziej czasochłonne od tych przeprowadzanych automatycznie.