In this study, a detailed literature review on the existent Artificial Recharge -AR types suitable for arid and semi-arid region and Geographic Information System (GIS) techniques, are used to identify the most suitable AR areas in the Kabul River Basin. The hydrological behaviour of AR is investigated and the design criteria are defined. Infiltration, evapotranspiration, retention capacity and other hydrological parameters connected with hydraulic risk, underground recharge, soil moisture, and run-off are particularly analysed. Some parameters including topography, geology, hydrography, climate variables, existing water infrastructures, and demography are used for the identification of potential AR areas in the KRB. The analysed parameters are classified, weighted, and thematic maps are developed in GIS environment.

GIS-based techniques for identification of potential artificial recharge areas in Kabul River basin, Afghanistan / Himat, Abobakar; Caporali, Enrica. - ELETTRONICO. - (2020), pp. 20716-20716. (Intervento presentato al convegno European Geosciences Union General Assembly 2020 tenutosi a On line nel 4–8 May 2020) [10.5194/egusphere-egu2020-20716].

GIS-based techniques for identification of potential artificial recharge areas in Kabul River basin, Afghanistan

Caporali, Enrica
Supervision
2020

Abstract

In this study, a detailed literature review on the existent Artificial Recharge -AR types suitable for arid and semi-arid region and Geographic Information System (GIS) techniques, are used to identify the most suitable AR areas in the Kabul River Basin. The hydrological behaviour of AR is investigated and the design criteria are defined. Infiltration, evapotranspiration, retention capacity and other hydrological parameters connected with hydraulic risk, underground recharge, soil moisture, and run-off are particularly analysed. Some parameters including topography, geology, hydrography, climate variables, existing water infrastructures, and demography are used for the identification of potential AR areas in the KRB. The analysed parameters are classified, weighted, and thematic maps are developed in GIS environment.
2020
EGU General Assembly 2020
European Geosciences Union General Assembly 2020
On line
Goal 11: Sustainable cities and communities
Goal 13: Climate action
Goal 15: Life on land
Himat, Abobakar; Caporali, Enrica
File in questo prodotto:
File Dimensione Formato  
EGU2020-20716-print.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 293.01 kB
Formato Adobe PDF
293.01 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1223010
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact