Groundwater recharge level estimation from rainfall record probability match methodology

Basit Öğe Kaydı
dc.authorid0000-0003-2754-5492
dc.contributor.authorŞen, Zekai
dc.date.accessioned2019-12-19T13:54:23Z
dc.date.available2019-12-19T13:54:23Z
dc.date.issued2019
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü
dc.description.abstractGroundwater reservoirs’ assessment and management studies present more difficulties compared to surface water resources, because their storage media are geological formations, which have spatial heterogeneities that cannot be expressed by empirical or deterministic methodologies easily. Especially, their recharge possibilities are dependent not only on the precipitation features, but also on uncertainties including heterogeneous porosity, specific yield, storage, hydraulic conductivity, permeability and transmissivity quantities. The best way to treat such uncertainties is through the probability distribution function (PDF) methods, which reflect the spatial and temporal randomness in the meteorological and hydrogeological variabilities. In general, this paper presents temporal PDF behaviors of the rainfall variation and groundwater level fluctuation in addition to the probabilistic correlation between them. For this purpose, the cumulative distribution functions (CDF) of rainfall and groundwater level rise departures are considered from respective mean values. The two CDFs are related to each other on the valid assumption that the more the rainfall cumulative departure from the mean the more is the groundwater fluctuation. The application of this probabilistic methodology is presented to available data from the south eastern part of Turkey.
dc.identifier.citationŞen, Z. (2019). Groundwater recharge level estimation from rainfall record probability match methodology. Earth Systems and Environment, 3(3), 603-612. https://doi.org/10.1007/s41748-019-00130-z
dc.identifier.doi10.1007/s41748-019-00130-z
dc.identifier.endpage612
dc.identifier.issn2509-9426
dc.identifier.issue3
dc.identifier.scopusqualityQ2
dc.identifier.startpage603
dc.identifier.urihttps://doi.org/10.1007/s41748-019-00130-z
dc.identifier.urihttps://hdl.handle.net/20.500.12511/4563
dc.identifier.volume3
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEarth Systems and Environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectEstimation
dc.subjectGroundwater Level
dc.subjectMatch
dc.subjectProbability
dc.subjectRainfall
dc.subjectRecharge
dc.titleGroundwater recharge level estimation from rainfall record probability match methodology
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
Sen, Zekai-2019.pdf
Boyut:
1.63 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu