Development of an Interface in MATLAB for Trend Analysis of Hydro-Meteorological Data

DOI: 10.18805/IJARe.A-5236    | Article Id: A-5236 | Page : 58-64
Citation :- Development of an Interface in MATLAB for Trend Analysis of Hydro-Meteorological Data.Indian Journal Of Agricultural Research.2020.(54):58-64
J.P. Patil, A. Sarangi and D.K. Singh
Address : National Institute of Hydrology, Roorkee-247 667, Uttarakhand, India. 
Submitted Date : 1-03-2019
Accepted Date : 19-07-2019


This study presents an interface, ‘Climate Change Trend Analysis (CCTA)’, developed in MATLAB® environment to analyze the trends using non-parametric statistical methods, Mann-Kendall (MK) test and modified Mann-Kendall (MMK) test with Sen’s slope estimator. The interface was used to determine trend in annual and seasonal (kharif) rainfall depths in Pune district acquired from 13 observatories. The developed interface automates the trend analysis process, which can further use for detecting variability and trends in the meteorological as well as other hydrological and agricultural parameters. The observed rainfall trends during monsoon would play a significant role for rainfed agriculture in Pune district. 


CCTA Mann-Kendall Modified Mann-Kendall Pune Sen’s slope Trend analysis


  1. Basistha, A., Arya, D. S. and Goel, N. K. (2009). Analysis of historical changes in precipitation in the Indian Himalayas. International Journal of Climatology., 29(4): 555-572.
  2. Burns, D. A., Klaus, J. and McHale, M. R. (2007). Recent climate trends and implications for water resources in the Catskill Mountain region, New York, USA. Journal of Hydrology. 336(1–2): 155–170.
  3. CGWB (2009). Ground Water Information of Pune District, Maharashtra-2009. Central Region Nagpur, CGWB, Ministry of Water Resources, 1-2.
  4. Dash, S. K., Kulkarni, M. A., Mohanty, U. C. and Prasad, K. (2009). Changes in the characteristics of rain events in India. Journal of Geophysical Research. 114: D10109.
  5. Dash, S. K., Nair, A, A., Kulkarni, M. A. and Mohanty, U. C. (2011). Characteristic changes in the long and short spells of different rain intensities in India. Theoretical and Applied Climatology. 105: 563–570.
  6. De Luis, M., Raventós, J., González-Hidalgo, J. C., Sánchez, J. R. and Cortina, J. (2000). Spatial analysis of rainfall trends in the region of Valencia (east Spain), Int. Journal of Climatology. 20(12): 1451–1469. (200010)20:12<1451:AID-JOC547>3.0.CO;2-0.
  7. Dietz, E. J. and Killeen, T. J. (1981). A nonparametric multivariate test for monotone trend with pharamacetical applications. J. of the American Stat. Asso., 76: 169-174.
  8. Hall, A. W., Whitfield, P. H. and Cannon, A. J. (2006). Recent Variations in Temperature, Precipitation and Streamflow in the Rio Grande and Pecos River Basins of New Mexico and Colorado. Reviews in Fisheries Sci., 14(1-2): 51-78.
  9. Hamed, K. H. and Rao, A. R. (1998). A modified Mann-Kendall trend test for autocorrelated data. Journal of Hydrology. 204: 182 -    196. (97)00125-X.
  10. Kampata, J. M., Parida, B. P. and Moalafhi, D. B. (2008). Trend analysis of rainfall in the headstreams of the Zambezi River Basin in Zambia. Phy. and Chem. of the Earth, 33: 621–625.
  11. Kendall, M G. (1975). Rank Correlation Methods . Charles Griffin, London. 1975, 67-100.
  12. Kothyari, U. C., Singh, V. P. and Aravamuthan, V. (1997). An investigation of changes in rainfall and temperature regimes of the Ganga Basin in India. Water Res. Manage., 11(1),17-34.
  13. Kripalani, R. H., Kulkarni, A., Sabade, S. S. and Khandekar, M. L. (2003). Indian monsoon variability in a global warming scenario. Natural Hazards. 29:189-206.
  14. Kumar, V. and Jain, S. K. (2010). Trends in seasonal and annual rainfall and rainy days in Kashmir Valley in the last century. Quaternary Int., 212(1): 64 –69.
  15. Mann, H. B. (1945). Nonparametric tests against trend. Econometrica. 13: 245-259.
  16. Mazvimavi, D. and Wolski, P. (2006). Long-term variations of annual flows of the Okavango and Zambezi Rivers. Phy and Chem of the Earth. 31: 951–994.
  17. MPCB (2006). District Environmental Atlas of Pune District. Maharashtra Pollution Control Board, Central Pollution Control Board, 1-10.
  18. Ndiritu, J. G. (2005). Long-term trends of heavy rainfall in South Africa. Regional hydrological Impacts of Climatic Change- Hydroclimatic Variability. In: Proceedings of symposium S6 held during the seventh IAHS Scientific Assembly at Foz do Iguacu, Brazil, April 2005. IAHS Publ.296, pp. 178–183.
  19. Patil, J. P., Sarangi, A., Singh, O. P., Singh, A. K. and Ahmad, T. (2008). Development of a GIS interface for estimation of runoff from watersheds. Water Resources Management. 22 (9): 1221-1239.
  20. Ramanathan, V., Chung, C., Kim, D., Bettge, T., Buja, L., Kiehl, J. T., (2005). Atmospheric brown clouds: impacts on South Asian climate and hydrological cycle. Proceedings of National Academy of Sciences, USA. 102:5326-5333.
  21. Sahai, A. K., Pattanaik, D. R., Satyan, V. and Grimm, A. M. (2003). Teleconnections in recent time and prediction of Indian summer monsoon rainfall. Met. and Atmp. Physics. 84: 217 -227.
  22. Sarangi, A., Madramootoo, C. A. and Singh, D. K. (2004). Development of ArcGIS assisted user interfaces for estimation of watershed morphologic parameters, J. of Soil and Water Cons., 3(3&4): 139-149.
  23. Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association. 63(324): 1379-1389. DOI: 10.1080/01621459.1968.10480934.
  24. Smakhtin, V. U and Hughes, D. U. (2007). Automated estimation and analyses of meteorological drought characteristics from monthly rainfall data. Environmental Modelling & Software. 22(6): 880-890.
  25. Thapliyal, V. and Kulshrestha, S. M. (1991). Climate changes and trends over India. Mausam. 42: 333–338. Ref No. CLA-93-050818; EDB-93-079776.
  26. Yu, P., Yang, T. and Kuo, C. (2006). Evaluating long-term trends in annual and seasonal precipitation in Taiwan. Water Resources Management. 20(6): 1007-1023.
  27. Yue, S., Pilon P. and Cavadias, G. (2002). Power of the Mann-Kendall and spearman’s rho test for detecting monotonic trends in hydrological series. Journal of Hydrology. 259: 254-271. 

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