Standardized Precipitation Index Analyses with Wavelet Techniques at Watershed Basin

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.

[1]  L. Salvati,et al.  Analysis of bioclimatic time series and their neural network-based classification to characterise drought risk patterns in South Italy , 2007, International journal of biometeorology.

[2]  A. Adib.  A new approach for determination of peak flood hydrograph , 2011 .

[3]  Funda Dökmen,et al.  Evaluation of the Parameters of Water Quality with Wavelet Techniques , 2013, Water Resources Management.

[4]  Luis Juana,et al.  Water balance and flow rate discharge on a receiving water body: Application to the B-XII Irrigation District in Spain , 2015 .

[5]  Bellie Sivakumar,et al.  Network theory and spatial rainfall connections: An interpretation , 2015 .

[6]  L. S. Pereira,et al.  Testing a Modification of the Palmer Drought Severity Index for Mediterranean Environments , 2007 .

[7]  L. S. Pereira,et al.  Stochastic Prediction of Drought Class Transitions , 2008 .

[8]  Ming Li.  Fractal Time Series—A Tutorial Review , 2010 .

[9]  Evaporation in a Mediterranean environment by energy budget and Penman methods, Lake Baratz, Sardinia, Italy , 2015 .

[10]  Stanisław Ryszard Massel,et al.  Wavelet analysis for processing of ocean surface wave records , 2001 .

[11]  Ming Li,et al.  Variance Bound of ACF Estimation of One Block of fGn with LRD , 2010 .

[12]  T. McKee,et al.  Drought monitoring with multiple time scales , 1995 .

[13]  Ali Talebi,et al.  Development of a Hybrid Wavelet Packet- Group Method of Data Handling (WPGMDH) Model for Runoff Forecasting , 2016, Water Resources Management.

[14]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[15]  Influence of Precipitation Changes on the SPI and Related Drought Severity. An Analysis Using Long-Term Data Series , 2016, Water Resources Management.

[16]  Luis S. Pereira,et al.  Climate trends and behaviour of drought indices based on precipitation and evapotranspiration in Portugal , 2012 .