Describing the Karst Evolution by the Exploitation of Hydrologic Time-Series Data

Loading...

Date

Authors

Journal Title

Journal ISSN

Volume Title

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Top 10%
Influence
Top 10%
Popularity
Top 10%

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

The importance of the groundwater management of karst aquifers relatively to their complexity requires the knowledge of the subsurface flow and storage behavior. In this study, a methodological approach based on the exploitation of daily spring’s discharge data was developed and tested. The methodology makes use of the hydrograph recession curves, the correlograms output, and the logarithmically structured duration curves. This methodological approach was applied to the complex karst system of Louros basin. The Louros karst system consists of individual karst units discharged by respective springs which are distributed on three levels and form three easily distinguishable groups. The application results revealed a well organized karst system with conduits of slow and fast flow. It also revealed the uniformity and the complexity of the different units, as well as the properties, such as the storativity and the evolutionary process. This approach demonstrates the benefits of interpreting different methods in a hydrologically meaningful way for the recharge data evaluation.

Description

Keywords

Cross correlation function, Duration curves, Karst aquifer, Recession curves, Springs’ discharge data, Statistical analysis, Recession curves, Springs’ discharge data, Karst aquifer, Statistical analysis, Cross correlation function, Duration curves

Fields of Science

0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology

Citation

Katsanou, K., Lambrakis, N., Tayfur, G., and Baba, A. (2015). Describing the karst evolution by the exploitation of hydrologic time-series data. Water Resources Management, 29(9), 3131-3147. doi:10.1007/s11269-015-0987-x

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
27

Volume

29

Issue

9

Start Page

3131

End Page

3147
PlumX Metrics
Citations

CrossRef : 24

Scopus : 32

Captures

Mendeley Readers : 35

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
3.4154992

Sustainable Development Goals