loader
Gatha Cognition®
Perception, Learning and Reasoning

Article Title :

Analysis of Discharge Variability in the Naryn River Basin, Kyrgyzstan

Hydrospatial Analysis

3 (2019)

2

90-106

Time series , Exceedance Probability , Frequency , Discharge variability , Climate changes , River

Crossref citations: 1
Views: 72
Altmetric :
Gatha Cognition Free Publication
Cross Referance

Changing climate and land-use practices influencing the natural stream flow processes in the Naryn river basin of Kyrgyzstan. Variations in stream flow regime over 33-years (1980 to 2012) were investigated using daily discharge data of three hydro-stations (Naryn, Ych-Terek and Uzunakmat), located in the Naryn River Basin. Mean monthly discharge (MMD), mean annual discharge (MAD), standard deviation (SD) and coefficient of variation (CV) were calculated to know the spatio-temporal variability. Similarly, Pearson’s correlation coefficient (r) was used to know the relationship between discharge and rainfall. Advanced time-series graph, exceedance probability and frequency distribution were computed using Hydrognomon (V.4.0.3) software to observe the variability and trends in discharge. The results from statistical calculations and software-based computations highlight the monthly, annual, and long term spatio-temporal discharge variability, extreme events, distribution and changes in stream flow records. This study preciously creates the frequency and trends of seasonal discharge, annual discharge cycle, and range of highest and lowest discharge flows. The weak and negative relationship (-0.2121, -0.4238) between rainfall and discharge propose for more investigation of climatic parameters and the topography of Tian Shan Mountain perhaps influencing discharge variability due to melting of glacier at high altitude. The flow regime of the Naryn river basin over the past 33-years perhaps changed due to climatic fluctuations, with the seasonal snowmelt timing (Post-Spring, Summer, Pri-Autumn), precipitations period (March-October), and large-scale land-use alterations.

Variations in stream flow regime over 33-years (1980 to 2012) were investigated using daily discharge data of Naryn, Ych-Terek and Uzunakmat hydro-stations, located in the Naryn river basin Kyrgyzstan.

Mean monthly discharge (MMD), mean annual discharge (MAD), standard deviation (SD) and coefficient of variation (CV) were calculated to know the spatio-temporal variability.

Advanced time-series graph, exceedance probability and frequency distribution were computed using Hydrognomon (V.4.0.3) software to observe the variability and trends in discharge.

This study preciously creates the frequency and trends of seasonal discharge, annual discharge cycle, and range of highest and lowest discharge flows.

The weak and negative relationship between rainfall and discharge propose for more investigation of climatic parameters and the topography of the Tian Shan Mountain.

4.

Akmatov, R., Alamanov, S., Choduraev, T. and Pochechun, V., 2019. Glacier runoff and regime of rivers with glacial power (a case of study: Naryn river, Kyrgyzstan). IOP Conference Series: Earth and Environmental Science. 321 012016

16.

Djancharov, D. and Street, K., 2003. The use of irrigation systems for fish production in Kyrgyzstan. Fisheries in irrigation systems of arid Asia. FAO Fisheries Technical Paper, 430, 71-75.

22.

Garba, H., Ismail, A. and Tsoho, U., 2013. Fitting probability distribution functions to discharge variability of Kaduna River. International Journal of Modern Engineering Research, 3 (5), 2848-2852.

29.

Jiménez, C. B. E., Oki, T., Arnell, N. W., Benito, G., Cogley, J. G., Döll, P., Jiang, T. and Mwakalila, S. S., 2014. Freshwater resources, climate change 2014: Impacts, adaptation, and vulnerability. In: Barros VR et al., (eds) Part A: global and sectoral aspects, contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, 229-269.

33.

Kozanis, S., Christofides, A., Mamassis, N., Efstratiadis, A. and Koutsoyiannis, D., 2010.  Hydrognomon-open source software for the analysis of hydrological data. In Proceedings of the European Geosciences Union General Assembly 2010, Vienna, Austria, 12, 12419.

35.

Kurban, A., Strobl, J., Amanambu, A., Khan, G. and Valentine, M., 2018. A Bivariate statistical technique with knowledge-based analytical hierarchy process for landslide susceptibility assessment in Naryn River Basin, Kyrgyzstan. International Journal of Geoinformatics, 14 (1).

37.

Linsley, R. K., Kohler, M. A. and Paulhus, J. L. H., 1988. Hydrology for Engineers. McGraw-Hill, London, 492.

44.

Savoskul, O. S., Chevnina, E. V., Perziger, F. I., Vasilina, L. Y., Baburin, V. L., Danshin A.I., Matyakubov, B. and Murakaev, R. R., 2003. Water, climate, food, and environment in the Syr Darya Basin, in adaptation strategies to changing environments, institute for environmental studies. Amsterdam: Vrije University.

49.

Srebrenovir, D., 1986. Primijenjena Hidrologija. Tehnicka knjiga, Zagreb, 509.

51.

Wang, W., 2006. Stochasticity, Nonlinearity and Forecasting of Streamflow Processes, Amsterdam: IOS Press.

Recommend this Article