Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran
Abstract Discovering underground water resources remains a vital and inevitable method for optimizing consumption and also maintaining existing resources, not only in the world in general but also in places like Mashhad in particular which faces increasing need for water. Therefore, the present pape...
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Format: | Article |
Language: | English |
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SpringerOpen
2020-12-01
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Series: | Applied Water Science |
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Online Access: | https://doi.org/10.1007/s13201-020-01317-w |
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author | Hossein Alem Akbar Esmaeilzadeh Soudejani Mahmood Fallahi |
author_facet | Hossein Alem Akbar Esmaeilzadeh Soudejani Mahmood Fallahi |
author_sort | Hossein Alem |
collection | DOAJ |
description | Abstract Discovering underground water resources remains a vital and inevitable method for optimizing consumption and also maintaining existing resources, not only in the world in general but also in places like Mashhad in particular which faces increasing need for water. Therefore, the present paper aims to identify potential locations for developing karst formations by calculating infiltration percentage of formations. APLIS method, based on GIS analysis, was used to do analytical hierarchical process. Experimental variables assumed to affect infiltration and storage of rain water include altitude, slope, lithology, soil, preferred infiltration sites, and fracture. Information layers for all the above variables were created, and their proportional weight and combinations were specified. Finally, recharge rates of aquifers were calculated and presented in form of maps which also showed the extent of karst formations for various regions. Results let us see that location-specific average of recharge rate for Mashhad formations is 46% in a span of 15–96%. Any increase in infiltration percentage means more karstification in lithology of formations. The ability to map the water resources management and determine the water balance components, including estimating the amount of groundwater resource penetration, and the spatial identification of karst sources compared to other existing methods, is higher. Therefore, the map possesses predictive strength for potential regions of development of karstification. Given the recharge rates for various sites and specified karstic regions, we can anticipate a more efficient management with regard to maintaining water resources and managing consumption. Such management would be more economical and less time-consuming. |
first_indexed | 2024-12-23T23:22:32Z |
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institution | Directory Open Access Journal |
issn | 2190-5487 2190-5495 |
language | English |
last_indexed | 2024-12-23T23:22:32Z |
publishDate | 2020-12-01 |
publisher | SpringerOpen |
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series | Applied Water Science |
spelling | doaj.art-bb5c9831be964d30bfdc63b01f9213dd2022-12-21T17:26:18ZengSpringerOpenApplied Water Science2190-54872190-54952020-12-0111111310.1007/s13201-020-01317-wEstimate the amount of ground water recharge in hard formations, case study: Mashhad, IranHossein Alem0Akbar Esmaeilzadeh Soudejani1Mahmood Fallahi2Department of Earth Sciences, College of Sciences, Shiraz UniversityDepartment of Earth Sciences, College of Sciences, Shiraz UniversityDepartment of Earth Sciences, College of Sciences, Shiraz UniversityAbstract Discovering underground water resources remains a vital and inevitable method for optimizing consumption and also maintaining existing resources, not only in the world in general but also in places like Mashhad in particular which faces increasing need for water. Therefore, the present paper aims to identify potential locations for developing karst formations by calculating infiltration percentage of formations. APLIS method, based on GIS analysis, was used to do analytical hierarchical process. Experimental variables assumed to affect infiltration and storage of rain water include altitude, slope, lithology, soil, preferred infiltration sites, and fracture. Information layers for all the above variables were created, and their proportional weight and combinations were specified. Finally, recharge rates of aquifers were calculated and presented in form of maps which also showed the extent of karst formations for various regions. Results let us see that location-specific average of recharge rate for Mashhad formations is 46% in a span of 15–96%. Any increase in infiltration percentage means more karstification in lithology of formations. The ability to map the water resources management and determine the water balance components, including estimating the amount of groundwater resource penetration, and the spatial identification of karst sources compared to other existing methods, is higher. Therefore, the map possesses predictive strength for potential regions of development of karstification. Given the recharge rates for various sites and specified karstic regions, we can anticipate a more efficient management with regard to maintaining water resources and managing consumption. Such management would be more economical and less time-consuming.https://doi.org/10.1007/s13201-020-01317-wKarstificationRechargeAPLISGISMashhad |
spellingShingle | Hossein Alem Akbar Esmaeilzadeh Soudejani Mahmood Fallahi Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran Applied Water Science Karstification Recharge APLIS GIS Mashhad |
title | Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran |
title_full | Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran |
title_fullStr | Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran |
title_full_unstemmed | Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran |
title_short | Estimate the amount of ground water recharge in hard formations, case study: Mashhad, Iran |
title_sort | estimate the amount of ground water recharge in hard formations case study mashhad iran |
topic | Karstification Recharge APLIS GIS Mashhad |
url | https://doi.org/10.1007/s13201-020-01317-w |
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