TY - JOUR ID - 13386 TI - Characteristics of Hamedan province during period 1975-2005 JO - Irrigation Sciences and Engineering JA - JISE LA - en SN - 2588-5952 AU - Marofi, Safar AU - Marianji, Zohreh AU - Hossian Zadeh Tallaeei, Parisa AD - Associate Professor, Department of Irrigation, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran. AD - Instructor, Meteorological Research Center, Hamadan, Iran AD - Msc. Student, Department of Irrigation, Faculty of Agriculture, Bu-Ali Sina University, Hamadan, Iran Y1 - 2009 PY - 2009 VL - 32 IS - 1 SP - 27 EP - 41 KW - Hamadan KW - Air temperature KW - Mann-Kendall KW - NRMC test KW - climate change DO - 10.22055/jise.2010.13386 N2 - In this research, the annual air temperature parameters that observed at five meteorological stations situated in the Hamedan region are analyzed to determine the temporal pattern of long-term trends of data and the probable climate change, during the period from 1975 to 2005. In this regard, the mean, maximum and minimum series of annual and temperatures are investigated based on the Mann-Kendall and NRMC methods. The results show that the maximum temperature variations at all the stations have the smooth positive significant trends, (except those to Nojeh and Darghazin stations which don’t have any trends). In the case of the minimum temperature, in exception to Varayaneh (where present a decreasing trend), the other stations have the rapid significant increasing trends. The mean annual temperatures at all of stations also show the significant rapid increasing trends (except those to Varayaneh and Darghazin stations). The NRMC method, that divide data on two equal divisions, (base on a normal year identification that in this study is 1990), show the similar results same as the Mann-Kendall test. This study not only illustrates the similar results of the two different tests on climate change identification but also indicate a significant warming at the majority stations in region (especially in the central area). These results could be used for mapping and forecasting of future droughts as well as water managements. UR - https://jise.scu.ac.ir/article_13386.html L1 - https://jise.scu.ac.ir/article_13386_cab8dedc6b8731ec54108264dbbd84c7.pdf ER -