Water Harvesting Research

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Publication Ethics

Self-Archiving Policy

Terms and conditions for submitting an article

Instructions for Authors

Forms and Templates

Investigating Changes in Pan Evaporation Values in Iran, Considering the Autocorrelation Effect

Document Type : Research Paper

Authors

1 Ph.D Student, Department of Water Engineering, Urmia University, Urmia, Iran.

2 Associate Professor, Department of Water Engineering, Urmia University, Urmia, Iran.

3 Professor, Department of Water Engineering, Urmia University, Urmia, Iran.

4 Assistant Professor, Department of Water Engineering, Lorestan University, Khorramabad, Iran.

Abstract

Investigating the long-term changes of meteorological parameters in each basin or region serves as the first component of the monitoring system. In this study, the trend of changes in pan evaporation values in Iran's meteorological stations (provincial centers) in the period of 1994-2021 was investigated using the modified Mann-Kendall test by removing the effect of data autocorrelation. The results of the investigation of the trend of changes in pan evaporation values in Iran showed that in 54% of the studied stations, the trend of changes in pan evaporation values is increasing and in 46% it is decreasing. But the average changes in Iran are incremental. Significant increasing and decreasing changes were also observed among the studied stations. The capital of Iran, Tehran, obtained the highest increase in pan evaporation among other studied stations according to the slope of the trend line (Sen’s slope). The highest rate of reduction in annual pan evaporation is related to Ahvaz station in the southwest of Iran. The results of the regional spatial survey also showed that the main decreasing changes in the amount of pan evaporation values are observed in the southern, southwestern and southeastern regions of Iran. The results of the present study show that despite the increase in temperature in most areas, there is a decrease in pan evaporation values in some areas. This reduction of pan evaporation values is important in studies of water resources and meteorology, considering the arid and semi-arid climate of Iran.

Keywords

Main Subjects

References
Adamowski, K., & Bougadis, J. (2003). Detection of trends in annual extreme rainfall. Hydrological Processes, 17(18), 3547-3560.
Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., & Kumar, R. (2022). Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran. Theoretical and Applied Climatology, 149(1-2), 743-760.
Ahmadi, F., Nazeri Tahroudi, M., Mirabbasi, R., Khalili, K., & Jhajharia, D. (2018). Spatiotemporal trend and abrupt change analysis of temperature in Iran. Meteorological Applications, 25(2), 314-321.
Borna, R., & Jahan, A. (2015). Trend Analysis of Extreme Climate Changes Index’s in Precipitation and Temperature in Bushehr Province. Physical Geography Quarterly, 8(28), 43-64.
Caloiero, T. (2017). Trend of monthly temperature and daily extreme temperature during 1951–2012 in New Zealand. Theoretical and Applied Climatology, 129, 111-127.
Chattopadhyay, N., & Hulme, M. (1997). Evaporation and potential evapotranspiration in India under conditions of recent and future climate change. Agric. For Meteorol, 87, 55-73.
Fu, G., Charles, S. P., & Yu, J. (2009). A critical overview of pan evaporation trends over the last 50 years. Climatic change, 97(1-2), 193-214.
Gharekhani, A., Ghahreman, N., & Bazrafshan, J. (2013). Trend analysis of pan evaporation in different climates of Iran. Watershed Management Researches, 26(1), 85-97. SID. https://sid.ir/paper/200636/en. [in Persian].
Goljamjoo, A., Ghahreman, N., & Bakhtiari, B. (2023). Trend Analysis of pan coefficient and projection of pan evaporation in selected stations of Iran. Journal of Agricultural Meteorology, 10(2), 58-65. 10.22125/agmj.2023.369069.1143
Gong, C., Xu, C., Chen, D., Halldin, S., & Chen, Y.D. (2006). Sensitivity of Penman Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. Journal of Hydrology 329, 620-629.
Hamed, K. H., & Rao, A. R. (1998). A modified Mann-Kendall  trend test for autocorrelated data. Journal of Hydrology, 204(1-4), 182-196.
Kendall, M. G. (1963). The advanced theory of statistics: in 3 volumes. C. Griffin.
Khalili, K., Esfandiary, S., Khanmohammadi, N., & Nazeri Tahrudi, M. (2014). Half-century air temperature trends in Iran. J Middle East Appl Sci Technol, 8(4), 208-213.
Khalili, K., Tahoudi, M. N., Mirabbasi, R., & Ahmadi, F. (2016). Investigation of spatial and temporal variability of precipitation in Iran over the last half century. Stochastic Environmental Research and Risk Assessment, 30(4), 1205-1221.
Khozeymehnezhad, H., & Nazeri Tahroudi, M. (2019). Annual and seasonal distribution pattern of rainfall in Iran and neighboring regions. Arabian Journal of Geosciences, 12, 1-11.
Kruger, A. C., & Sekele, S. S. (2013). Trends in extreme temperature indices in South Africa: 1962–2009. International Journal of Climatology, 33(3), 661-676.
Kumar, S., Merwade, V., Kam, J., & Thurner, K. (2009). Streamflow trends in Indiana: effects of long term persistence, precipitation and subsurface drains. Journal of Hydrology, 374(1-2), 171-183.
Lawrimore, J. H., & Peterson, T. C. (2000). Pan evaporation trends in dry and humid regions of the United States. Journal of Hydrometeorology, 1(6), 543-546.
Lawrimore, J., & Peterson, T. (2002). Pan Evaporation trends in dry and humid regions of the United States. Journal Hydrometeor, 14, 18-31.
Mann, H. B. (1945). Nonparametric tests against trend, Econometrica. Journal of the Econometric Society, 245-259.
Nazeri Tahroudi, M., & Khozeymeh Nejad, H. (2017). Evaluation the Trend of South-West of Asia Precipitations. Water and Soil, 31(5), 1511-1525. doi: 10.22067/jsw.v31i5.62604
Nazeri Tahrudi, M. (2014). Compared to the normal mechanism becomes the normal monthly rainfall data from different regions of Iran. Water and Soil, 28(2), 365-372.
Roderick, M., & Farquhar, G. (2002). The cause of decreased pan evaporation over the past 50 years. Science, 298, 1410-1411
Sabziparvar, A., Khataar, B., Sadeghifar, M., Saghaei, S., Ershadfath, F., & Norooz Valashedi, R. (2014). Estimating daily pan evaporation from some existing time-series models. Watershed Engineering and Management, 6(1), 42-51.
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American statistical association, 63(324),1379-1389.
Stanhill, G., & Cohen, S. (2001). Global Dimming: A review of the evidence for widespread reduction in global radiation with discussion of its probable causes and possible agricultural consequences. Agric For Meteorol, 107, 2555-278.
Stephens, C. M., McVicar, T. R., Johnson, F. M., & Marshall, L. A. (2018). Revisiting pan evaporation trends in Australia a decade on. Geophysical Research Letters, 45(20), 11-164.
Tahroudi, MN., Khalili, K., Ahmadi, F., Mirabbasi, R., Jhajharia, DJ. 2018. Development and application of a new index for analyzing temperature concentration for Iran’s climate, International Journal of Environmental Science and Technology, 16(6), 2693-2706.
Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations. Indagationes Mathematicae, 1(2), 467-482.
Water Harvesting Research
Volume 6, Issue 2
September 2023
Pages 226-237
Files
Share
How to cite
Statistics