Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
This research intends to investigate the effect of rainfall intensity and fertilizer use to NPL (Nitrogen, Phosphate, and Kalium) content that also carried away together with run-off. Questionnaire about the application of fertilizwe that is commonly used is distributed to farmers. The modeling is carried out by using yje rainfall simulator of hydrology system SK-III Armfield. When the rain is dropped, the run-off will be directly taken as the sample to be tested in the laboratory for knowing the NPK content that is also carried away.The methodology uses linier regression statistical analysis and variance analysis for reaching the aim of research. Result of laboratory test shows that the rainfall intensity and the dose of fertilizer use is influencing tohether to the Nitrogen (R2 = 0.787), Phosphate (R2 = 0.49); and Kalium (R2 = 0.489). Result of variance analysis test indicates that the Nitrogen, Phosphate, and Kalium in run-off is affected by the rainfall intensity and the dose of fertilizer use
In this paper, the Box-Jenkins methodology representing the Autoregressive Integrated Moving Average ARIMA time series model has been used to study the patterns of injured people caused by road traffic accidents in Erbil city as well as making a monthly forecast. A monthly accident data of injured people from January 2013 to June 2018 were obtained from the General Directorate of Traffic in Erbil Governorate. The results showed that the series has features of seasonality and the number of injuries due to traffic accidents is decreasing in most months of the year. Some suitable models were developed and SARIMA (0,1,1)(1,0,1)12 was stated as adequate and the best model depending on some performance measures. A monthly forecast was made using the best model and it showed that the number of injured cases due to traffic accidents would continue to decrease in Erbil city to the end of December 2020