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Research Article Open access CC BY 3.0

Analysis and Prediction of Time Series Variations of Rainfall in North-Eastern Bangladesh

Ahmad Hasan Nury, Manfred Koch, Md. Jahir Bin Alam

Current Journal of Applied Science and Technology · pp. 1644–1656 · Published 15 Feb 2014

10.9734/BJAST/2014/7722

Abstract

Time series analysis and forecasting has become a major tool in different applications in meteorological phenomena, such as rainfall, humidity, temperature, draught and environmental management fields. It has two goals, perception or modeling random mechanism and prediction of future series quantities according to the past. In this research, ARIMA (Auto Regressive Integrated Moving Average) model has been used to carry out short term predictions of monthly rainfall in Sylhet and Moulvibazar district (north-eastern region) for years 2012 to 2014. Based on the inspection of the ACF, PACF autocorrelation plots, the most appropriate orders of the ARIMA models are determined and evaluated using the AIC-criterion. For the monthly rainfall in Sylhet district at Tajpur and Kanairghat station ARIMA (1,1,1) (0,1,1)12 is obtained, whereas the respective models in Moulvibazar district at Chandbagh, Sreemangal and Manu railway bridge are ARIMA (0,1,1) (1,1,1)12, ARIMA (1,1,1) (1,1,1)12 and ARIMA (1,1,0) (0,1,1)12. Among five rainfall stations PBIAS is the least (-1.07%), NSE (88%) and Index of agreement (87%) are the highest at Kanairghat station. Negative Mann-Kendall test statistics of monthly rainfall series (for the period between 1980 and 2011) indicates that monthly rainfall is decreasing with time except Kanairghat station (0.075). Mean rainfall with their standard deviation indicates rainfall is fluctuating with time. The outcomes from this study will assist water engineers and hydrologists to establish strategies, priorities and proper use of water resources in Sylhet and Moulvibazar districts.

ARIMA models mann-kendall’s statistics rainfall standard deviation

References (35)

  1. 1 A new look at the statistical model identification [DOI]
  2. 2 River flow forecasting through conceptual models part I — A discussion of principles [DOI]
  3. 3 Time Series Analysis: Forecasting and Control [DOI]
  4. 4 Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation [DOI]
  5. 5 Global observed changes in daily climate extremes of temperature and precipitation [DOI]
  6. 6 Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration [DOI]
  7. 7 Performance metrics for climate models [DOI]
  8. 8 Detection of hydrologic trends and variability [DOI]
  9. 9 Current approaches to seasonal to interannual climate predictions [DOI]
  10. 10 Rainfall trends analysis of Iran in the last half of the twentieth century [DOI]
  11. 11 A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change [DOI]
  12. 12 Potential increase in floods in California’s Sierra Nevada under future climate projections [DOI]
  13. 13 Efficient stochastic generation of multi-site synthetic precipitation data [DOI]
  14. 14 Seasonal forecasting of Thailand summer monsoon rainfall [DOI]
  15. 15 Stochastic simulation model for nonstationary time series using an autoregressive wavelet decomposition: Applications to rainfall and temperature [DOI]
  16. 16 Spatial interpolation of precipitation in a dense gauge network for monsoon storm events in the southwestern United States [DOI]
  17. 17 The use of time series modeling for the determination of rainfall climates of Iran [DOI]
  18. 18 Univariate modelling of summer-monsoon rainfall time series: Comparison between ARIMA and ARNN [DOI]
  19. 19 Temporal and spatial patterns of precipitation variability for annual, wet, and dry seasons in Turkey [DOI]
  20. 20 The relative impacts of climate change and urbanization on the hydrological response of a Korean urban watershed [DOI]
  21. 21 Linear Prediction of Indian Monsoon Rainfall* [DOI]
  22. 22 TIME SERIES ANALYSIS OF HYDROLOGIC DATA FOR WATER RESOURCES PLANNING AND MANAGEMENT: A REVIEW
  23. 23 Trend assessment: applications for hydrology and climate research [DOI]
  24. 24 GiST: A Stochastic Model for Generating Spatially and Temporally Correlated Daily Rainfall Data [DOI]
  25. 25 Stochastic Multisite Generation of Daily Precipitation Data Using Spatial Autocorrelation [DOI]
  26. 26 Modeling Rainfall in Dhaka Division of Bangladesh Using Time Series Analysis
  27. 27 Trends in extreme summer temperatures at Belgrade [DOI]
  28. 28 Seasonal Forecasts of Precipitation Anomalies for North American and Asian Monsoons. [DOI]
  29. 29 Central-West Argentina Summer Precipitation Variability and Atmospheric Teleconnections [DOI]
  30. 30 Evaluation of temporal-spatial precipitation variability and prediction using seasonal ARIMA model in Mongolia [DOI]
  31. 31 Stochastic space‐time regional rainfall modeling adapted to historical rain gauge data [DOI]
  32. 32 Changes in summer monsoon rainfall in the Upper Chao Phraya River Basin, Thailand [DOI]
  33. 33 An autoregressive spatio-temporal precipitation model [DOI]
  34. 34 ARIMA models for the analysis of the precipitation evolution
  35. 35 STUDY ON MODEL OF MULTIPLE SEASONAL ARIMA FOR PRECIPITATION IN HAILAR REGION

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