Abstract
Climatic changes play an important role on agricultural production. Their impacts on agricultural sciences are significantly different form one region to another. There are many factors on the impact of climate change in farmlands. SPI (Standardized Precipitation Index) is one of the drought indices. SPI values show similar variation in relatively drought periods and different amounts of precipitation. The main aim of this study is to understand different factors and their role at different scales with wavelet analysis of long-term precipitation and the SPI data. All data is being evaluated under the catchment basin area. Data records cover Big Menderes Catchment area at Aegean Region in Turkey between 1960 and 2015. The results of this study underline in general small scale influences have more important role in all selected stations. Spatial variation of entropy at watershed basin has been associated with micro, meso or large scale influences. In general, gradually increasing trends of drought and wet conditions are resulted in small scale factors.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Adib, A.: A new approach for determination of peak flood hydrograph. J. Food Agric. Environ. 9(3&4), 1129–1130 (2011)
Aslan, Z., Siddiqi, A.H., Manchanda, P.: Temporal and spatial variation of temperature and precipitation indices. J. Food Agric. Environ. 9(3–4), 912–922 (2011)
Dökmen, F., Aslan, Z.: Evaluation of the parameters of water quality with wavelet techniques. Water Resour. Manag. 27, 4977–4988 (2013). doi:10.1007/s11269-013-0454-5. Springer
Giadrossich, F., Niedda, M., Cohen, D., Pirastru, M.: Evaporation in a Mediterranean environment by energy budget and penman methods, Lake Barats, Sardania, Italy. Hydrol. Earth Syst. Sci. 19, 2451–2468 (2015). doi:10.5194/hess-19-2451
Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2006)
Incerti, G., Feoli, E., Salvati, L., Brunetti, A.: Analysis of bioclimatic time series and their neural network-based classification to characterise drought risk patterns in south italy. Int. J. Biometeorol. 51, 253–263 (2007). doi:10.1007/s00484-006-0071-6
Jha, S.K., Zhao, H., Woldemeskel, F.M., Sivakumar, B.: Network theory and spatial rainfall connections: an interpretation. J. Hydrol. 527(2015), 13–19 (2015)
Li, M.: Fractal time series. Math. Probl. Eng. 2010, 1–26 (2009). doi:10.1155/2010/157264. Article ID 157264. Hindawe Publishing Corporation
Massel, S.R.: Wavelet analysis for processing of ocean surface wave records. Ocean Eng. 28, 957–987 (2001)
McKee, T.B., Doesken, N.J., Kleist, J.: The relationship of drought frequency and duration of time scales. In: 8th Conference on Applied Climatology, pp. 179–186. American Meteorological Society, Boston (1993)
McKee, T.B., Doesken, N.J., Kleist, J.: Drought monitoring with multiple time scales. In: 9th 1999 Conference on Applied Climatology, pp. 233–236. American Meteorological Society, Boston (1995)
Moosavi, V., Talebi, A., Hadian, M.R.: Development of a hybrid wavelet packet-group method of data handling (WPGMDH) model for runoff forecasting. Water Resour. Manag. 31, 43–59 (2017). doi:10.1007/s11269-016-1507-3
Moyano, M.C., Tornos, L., Juana, L.: Water balance and flow rate discharge on a receiving water body: application to the B-XII irrigation district in Spain. J. Hydrol. 527(2015), 38–49 (2015)
Palmer, W.C.: Meteorological drought. Research Paper No. 45, US Department of Commerce, Weather Bureau, Washington, DC (1965)
Paulo, A.A., Pereira, L.S.: Stochastic prediction of drought class transitions. Water Resour. Manag. 22, 1277–1296 (2008)
Paulo, A.A., Rosa, R.D., Pereira, L.S.: Climate trends and behaviour of drought indices based on precipitation and evapotranspiration in Portugal. Nat. Hazards Earth Syst. Sci. 12, 1481–1491 (2012)
Paulo, A., Martins, D., Pereira, L.S.: Influence of precipitation changes on the SPI and related drought severity. An analysis using long-term data series. Water Resour. Manag. 30(15), 5737–5757 (2016)
Pereira, L.S., Rosa, R.D., Paulo, A.A.: Testing a modification of the palmer drought severity index for Mediterranean environments. In: Rossi, G., Vega, T., Bonaccorso, B. (eds.) Methods and Tools for Drought Analysis and Management, pp. 149–167. Springer, Dordrecht (2007)
http://drought.unl.edu/portals/0/docs/spi-program-alternative-method.pdf. Accessed 6 Mar 2017
http://www.ijmer.com/papers/Vol3_Issue4/DP3424072411.pdf. Accessed 6 Mar 2017
Akcknowledgements
The authors gratefully appreciate and acknowledge the International Centre for Theoretical Physics (ICTP)-Associateship Program.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Dökmen, F., Aslan, Z., Tokgözlü, A. (2017). Standardized Precipitation Index Analyses with Wavelet Techniques at Watershed Basin. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-62395-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62394-8
Online ISBN: 978-3-319-62395-5
eBook Packages: Computer ScienceComputer Science (R0)