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Investigation of Some Effective Factors in the Efficiency ofPheromone Traps of Oak Leaf Roller Moth Tortrix viridana L. (Lep.: Tortricidae) in Kurdistan Province
H Ghobari, H Goldansaz, H Askari,
Volume 13, Issue 47 (4-2009)
Abstract
One of the most important pest in the Oak forest of Kurdistan province is Oak leaf roller moth, Tortrix viridana L. (Lep.: Tortricidae). Use of pheromone trap is one of the suitable methods for monitoring and controlling of the pest. In this work, three main factors which affect the efficiency of traps including trap type, pheromone dose and installation height trap were studied. Four types of trap including cylindrical, rectangular, delta and wing trap were tested. Capture efficiency of the traps, were installed in the middle, and top heights of the trees were compared. Three doses of pheromone 0.5, 1, and 1.5 mgr per trap were also compared. Results showed that there were significant differences among four types of traps. Cylindrical, rectangular and delta traps caught more number of moths than wing trap (P<0.05). There were no significant differences between two installation heights (P>0.05). However, a significant differences was observed among three doses (P<0.05), and the dose of 0.5 mg caught more moths than the other three doses. Therefore cylindrical traps containing 0.5mg of synthetic sex pheromone installed in the middle of the trees canopy may be recommended in the management program of the pest.
Simulation of Spatiotemporal Annual Precipitation Using Stochastic Models
H. Faghih, J. Behmanesh, K. Khalili,
Volume 22, Issue 1 (6-2018)
Abstract
Precipitation is one of the most important components of water balance in any region and the development of efficient models for estimating its spatiotemporal distribution is of considerable importance. The goal of the present research was to investigate the efficiency of the first order multiple-site auto regressive model in the estimation of spatiotemporal precipitation in Kurdistan, Iran. For this purpose, synoptic stations which had long time data were selected. To determine the model parameters, data covering 21 years r (1992-2012) were employed. These parameters were obtained by computing the lag zero and lag one correlation between the annual precipitation time series of stations. In this method, the region precipitation in a year (t) was estimated based on its precipitation in the previous year (t-1). To evaluate the model, annual precipitation in the studied area was estimated using the developed model for the years 2013 and 2014; then, the obtained data were compared with the observed data. The results showed that the used model had a suitable accuracy in estimating the annual precipitation in the studied area. The  percentages of the model in estimating the region's  annual precipitation for the years 2013 and 2014 was obtained to be 7.9% and 17.3%, respectively. Also, the correlation coefficient between the estimated and observed data was significant at the significance level of one percent (R=0.978). Furthermore, the model performance was suitable in terms of data generation; so the statistical properties of the generated and historical data were similar and their difference was not significant. Therefore, due to the suitable efficiency of the model in estimating and generating the annual precipitation, its application could be recommended to help the better management of water resources in the studied region.

Evaluation of TRMM and ECMWF Data for Drought Time Monitoring (Case Study: Kurdistan Province)
M. Ahmadi, H. Ramezani Etedali, A. Kaviai, A.r. Tavakkoli,
Volume 27, Issue 1 (5-2023)
Abstract
Studying the effects of drought in mountainous areas is facing problems due to the inappropriate distribution of stations, the lack of long-term data, and areas lacking statistics. Therefore, the main objective of this research was to investigate the drought indices of Kurdistan province using TRMM satellite data and ECMWF dataset, as well as to evaluate their accuracy against the data of land stations in Kurdistan province. First, ECMWF precipitation data for the 2000-2020 period and TRMM precipitation data for the 2000-2019 period were obtained and evaluated using RMSE, MBE, and correlation coefficient statistics. Spearman's correlation coefficient showed a significant relationship between the TRMM satellite precipitation data and the ECMWF dataset with ground stations at the 5% level, and the value of this coefficient was between 0.95-0.85. According to the results, it can be acknowledged that the TRMM satellite rainfall and ECMWF dataset in the monthly time scale had proper accuracy at the Kurdistan province level. Therefore, these two sources were used to examine the drought indices. SPI, SPEI, and ZSI drought indices were calculated in different monthly periods (1-48), PNI in different monthly, seasonal, and annual periods in Kurdistan province (Saqqez, Qorveh, Bijar, Sanandaj stations). Spearman's correlation coefficient indicated a significant relationship at the 5% level between the SPI, ZSI, PNI, and SPEI index of the ECMWF dataset with ground stations. The results of the SPI index showed that the lowest RMSE value for the TRMM satellite at the Saqqez station and the three months was equal to 0.45, and for the ECMWF dataset at the Sanandaj station and the 24 months was equal to 0.35.

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