Trend analysis of hydroclimatological variables in Urmia lake basin using hybrid wavelet Mann–Kendall and Şen tests

This paper investigates monthly, seasonal, and annual trends in rainfall, streamflow, temperature, and humidity amounts at Urmia lake (UL) basin and analyzes the interaction between these variables and UL’s water level fluctuation during the 1971–2013 period. Two new methods including nonparametric hybrid wavelet Mann–Kendall test and Şen’s methodology have been used to determine potential trends in the variables and their dominant periods. The results showed significant decreasing trends in the water level and streamflow series, moderate decreasing trend in the rainfall and relative humidity series, and increasing trends in the observed temperature data. The 8- , 12-month, and 2-year periods were detected as the dominant periods of the variables in monthly, seasonal, and annual timescales, respectively. The results from the interaction analysis revealed that the main factor influencing the water level at UL is decreasing trend in the streamflow series. Both the monthly series of UL’s water level and the streamflow series of the stations indicated two start points of significant decreasing trend in 1973 and 1998. Furthermore, a comparative analysis among the applied methods indicated a good agreement between the results of hybrid wavelet Mann–Kendall test and Şen’s trend analyzing method.

[1]  A. Tarhule,et al.  Precipitation and Streamflow Variability in Northwestern Oklahoma, 1894-2003 , 2006 .

[2]  Tiezhu Yan,et al.  Spatial and Temporal Changes in Temperature, Precipitation, and Streamflow in the Miyun Reservoir Basin of China , 2017 .

[3]  Wensheng Wang,et al.  Wavelet Network Model and Its Application to the Prediction of Hydrology , 2003 .

[4]  Sanjiv Kumar,et al.  Streamflow trends in Indiana: Effects of long term persistence, precipitation and subsurface drains , 2009 .

[5]  H. B. Mann Nonparametric Tests Against Trend , 1945 .

[6]  Turgay Partal,et al.  Long-term trend analysis using discrete wavelet components of annual precipitations measurements in Marmara region (Turkey) , 2006 .

[7]  A. Eimanifar,et al.  Urmia Lake (Northwest Iran): a brief review , 2007, Saline systems.

[8]  S. Mallat A wavelet tour of signal processing , 1998 .

[9]  S. Alipour Hydrogeochemistry of seasonal variation of Urmia Salt Lake, Iran , 2006, Saline systems.

[10]  W. D. Hogg,et al.  Trends in Canadian streamflow , 2000 .

[11]  Yousef Hassanzadeh,et al.  Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling , 2011, Water Resources Management.

[12]  Vahid Nourani,et al.  Wavelet-based trend analysis of hydrological processes at different timescales , 2015 .

[13]  Richard M. Vogel,et al.  Trends in floods and low flows in the United States: impact of spatial correlation , 2000 .

[14]  Yiqing Guan,et al.  Investigating Trends in Streamflow and Precipitation in Huangfuchuan Basin with Wavelet Analysis and the Mann-Kendall Test , 2016 .

[15]  T. Partal,et al.  Trend analysis in Turkish precipitation data , 2006 .

[16]  E. Kahya,et al.  Trend analysis of streamflow in Turkey , 2004 .

[17]  J. Orosa,et al.  The impacts of drying of Lake Urmia on changes of degree day index of the surrounding cities by meteorological modelling , 2016, Environmental Earth Sciences.

[18]  Ali Danandeh Mehr,et al.  Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique , 2013 .

[19]  Wensheng Wang,et al.  Wavelet Transform Method for Synthetic Generation of Daily Streamflow , 2011 .

[20]  Aldo Drago,et al.  Use of the wavelet transform on hydro-meteorological data , 2002 .

[21]  B. Amirataee,et al.  Trends analysis of quantitative and qualitative changes in groundwater with considering the autocorrelation coefficients in west of Lake Urmia, Iran , 2016, Environmental Earth Sciences.

[22]  Mahdi Zarghami,et al.  Effective watershed management; Case study of Urmia Lake, Iran , 2011 .

[23]  Hossein Golabian,et al.  Urumia Lake: Hydro-Ecological Stabilization and Permanence , 2010 .

[24]  Jan Adamowski,et al.  Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008) , 2012 .

[25]  Ali Danandeh Mehr,et al.  A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction , 2017 .

[26]  Ozgur Kisi,et al.  Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review , 2014 .

[27]  A Methodology for Assessing Extreme Precipitation Trends Applied to Three South Texas Basins, 1898–2011 , 2016 .

[28]  R. Sneyers On the statistical analysis of series of observations. , 1991 .

[29]  Shiladitya DasSarma,et al.  Saline Systems highlights for 2006 , 2007, Saline systems.

[30]  W. Gough,et al.  Trend analysis of long-term temperature time series in the Greater Toronto Area (GTA) , 2010 .

[31]  H. Akbari,et al.  Monotonic trends in spatio-temporal distribution and concentration of monsoon precipitation (1901–2002), West Bengal, India , 2016 .

[32]  Z. Şen Innovative Trend Analysis Methodology , 2012 .

[33]  Vijay Kumar,et al.  Analysis of rainfall and temperature trends in northeast India , 2013 .

[34]  Jan Adamowski,et al.  Development of a new method of wavelet aided trend detection and estimation , 2009 .

[35]  Dimitrios K. Karpouzos,et al.  Trend analysis of precipitation data in Pieria Region (Greece) , 2009 .

[36]  Y. Loo,et al.  Effect of climate change on seasonal monsoon in Asia and its impact on the variability of monsoon rainfall in Southeast Asia , 2015 .

[37]  H. Aksoy,et al.  Structural characteristics of annual precipitation in Lake Urmia basin , 2017, Theoretical and Applied Climatology.

[38]  S. Rehman Long-Term Wind Speed Analysis and Detection of its Trends Using Mann–Kendall Test and Linear Regression Method , 2013 .

[39]  R. Modarres,et al.  Urmia Lake water-level change detection and modeling , 2016, Modeling Earth Systems and Environment.

[40]  Ali Danandeh Mehr,et al.  Successive-station monthly streamflow prediction using neuro-wavelet technique , 2014, Earth Science Informatics.

[41]  S. Morid,et al.  Identification of trends in hydrological and climatic variables in Urmia Lake basin, Iran , 2015, Theoretical and Applied Climatology.

[42]  Zekâi Şen,et al.  Trend Identification Simulation and Application , 2014 .