NDLI: Multi-Temporal Analysis of Mean Annual and Seasonal Stream Flow Trends, Including Periodicity and Multiple Non-Linear Regression

Content Provider	Springer Nature Link
Author	Stojković, Milan Ilić, Aleksandra Prohaska, Stevan Plavšić, Jasna
Copyright Year	2014
Abstract	Global warming affects the hydrological cycle and the long-term water budget of river basins. Flow variations have been noticed in the Danube River Basin, especially in its south-western parts where a downward trend in mean annual flows has been prevalent in the past several decades. Time series of mean annual and seasonal flows of the Sava River at hydrological stations Sremska Mitrovica and Zagreb are analysed in this paper. The trend is assessed with the Mann-Kendall test including the effect of serial correlation. Additionally, the trends are assessed in the multi-temporal framework. It is concluded that the long-term periodicity of annual flows has a considerable impact on the time series trend. Long-term component with cycles of 40 years in mean annual flows are detected by the time series analysis in frequency domain. Regression analysis showed a significant correlation between mean annual flows of the Sava River and annual precipitation, mean annual atmospheric pressure and air temperatures at meteorological station Ljubljana, as well as with the North Atlantic Oscillation (NAO) Index.
Starting Page	4319
Ending Page	4335
Page Count	17
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	28
Issue Number	12
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2014-07-22
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi-temporal trend analysis Mann-Kendall test Periodicity Multiple non-linear regression Sava river Hydrogeology Hydrology/Water Resources Geotechnical Engineering & Applied Earth Sciences Atmospheric Sciences Civil Engineering Environment
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spatio-Temporal Changes in Potential Evaporation Based on Entropy Across the Wei River Basin

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

Trend Analysis of Annual and Seasonal River Runoff by Using Innovative Trend Analysis with Significant Test

Trend Assessment by the Innovative-Şen Method

Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China

Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran

Variability of Water Resource in the Yellow River Basin of Past 50 Years, China

Multi-Temporal Analysis of Mean Annual and Seasonal Stream Flow Trends, Including Periodicity and Multiple Non-Linear Regression

Similar Documents

Spatio-Temporal Changes in Potential Evaporation Based on Entropy Across the Wei River Basin

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

ANALYSIS OF ANNUAL, SEASONAL AND MONTHLY TRENDS OF CLIMATIC DATA: A CASE STUDY of SAMSUN

Trend Analysis of Annual and Seasonal River Runoff by Using Innovative Trend Analysis with Significant Test

Trend Assessment by the Innovative-Şen Method

Spatio-temporal Changes and Frequency Analysis of Drought in the Wei River Basin, China

Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran

Variability of Water Resource in the Yellow River Basin of Past 50 Years, China

Multi-Temporal Analysis of Mean Annual and Seasonal Stream Flow Trends, Including Periodicity and Multiple Non-Linear Regression