http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Ghumman (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
-
Optimally Sizing Small Hydropower Project Under Future Projected Flows
Irfan Yousuf,Abdul Razzaq Ghumman,Hashim Nisar Hashmi 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.5
The global climate change trend is resulting in change in precipitation and temperature. This change is impacting water resources and flow patterns in rivers and streams world-wide. Due to this, it is becoming difficult to optimally size small hydropower plants and predict their performance during operations. This paper has endeavored to investigate a solution to this problem. Chitral River in the Kabul Basin in Upper Indus Region, Pakistan was selected as study area. Observed climatic data of Chitral for period 1984-2013 was obtained from Pakistan Meteorological Department (PMD), observed flow data of Chitral River for period 1989-2013 was obtained from Water and Power Development Authority (SWH-WAPDA) and future predicted climatic data (including temperature and precipitation) was downscaled from MEPH5 Global Circulation Model (GCM) using LARS WG 5 for period up to 2099 under A1B, A2 and B1 Emission Scenario. HEC-HMS was used to determine future river flow trends for periods 2014-30, 2046-65 and 2080-99. The historic and future river flows were used to size small hydropower plant using RETScreen 4.1 model. Multiple Objective Decision Making Methodology (MODM) was used to decide upon the most optimum size of the hydropower plant. This paper has determined that there will be 16.83% reduction in river flows simulated for 2011-30, 25.03% for 2046-65 and 22.02% for 2080-99 as compared to historical flows during 1989-2013. Consequently there will be 0.36% impact on yearly power generation due to river flow changes simulated for 2014-30, 6.25% for 2046-65 and 4.08% for 2080-99. It is concluded that optimal sizing of the small hydropower plants and better performance under variable flows due to climate changes can be ensured by taking into account the future river flows predicted through hydrological models in addition to historical flows. The results concluded that 49.64 MW will be the most optimal size of the small hydropower plant that will produce maximum electricity under future projected flows at the study area.
-
Ranking Sensitive Calibrating Parameters of UBC Watershed Model
Usman Ali Naeem,Habib-ur-Rehman,Hashim Nisar Hashmi,Abdul Sattar Shakir,Abdul Razzaq Ghumman,Muhammad Ali Shamim 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.5
Almost in all hydrological models, calibrating parameters are tuned to best match the simulated results with the observed. In the present study sensitivity analysis was carried on the fifteen calibrating parameters of University of British Columbia Watershed Model (UBCWM). The study focuses to impart information to the modelers while calibrating UBCWM. To achieve the objectives of the study, UBC Watershed Model was applied on Chitral watershed in Pakistan. UBC Watershed Model is a semi distributed Hydrological model which divides the entire watershed in several elevation bands. The model was calibrated for the year 2006 with the coefficient of efficiency as well as the coefficient of determination equal to 0.94. The numerical values of the calibrating parameters were changed by increasing 20% and then by decreasing 20% of the standard calibrated values one by one. Sensitivity of the model was evaluated by computing the Absolute Sensitivity Index for each parameter. The sensitivity analysis results showed that the P0SREPO as the most sensitive parameter with 3.31525 Absolute Sensitivity Index (ASI) whereas C0IMPA found to be least sensitive giving a value of 0.0452 as Absolute Sensitivity Index (ASI). The logical trends in the results of sensitivity analysis show the robustness of the model.
-
Psychosocial Factors Influencing Quality of Life Among Medical Students
Eun Hyun Seo,Seung-Gon Kim,Jae-Hon Lee,Chandlee C. Dickey,Mella Y. Kim,Ravneet Kaur Ghumman,Hyung-Jun Yoon 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.11
Objective This study investigated the influence of psychosocial factors on medical students’ quality of life (QOL).Methods A total of 408 medical students participated in this study. We collected data on participants’ sociodemographic details, symptoms of depression and Internet addiction, self-esteem, social support, and QOL. QOL was assessed using the World Health Organization Quality of Life-Abbreviated form, which has four domains (physical health, psychological health, social relationships, and environment). A stepwise multiple linear regression model was constructed to identify factors’ independent impact on QOL.Results Higher levels of depression and Internet addiction were associated with lower scores in all domains of QOL, whereas higher levels of self-esteem and social support were associated with higher scores. Being in third-year versus first-year was associated with higher scores in the physical health and environment domains. Living alone or in dormitories, low or middle socioeconomic status, and insufficient or moderate pocket money were associated with lower scores in the environment domain. Additionally, female students displayed significantly lower scores for physical health, psychological health, and environment than male students, but not for social relationships. There were significant differences in certain domains of QOL due to sociodemographic factors.Conclusion This study demonstrates the psychosocial factors influencing medical students’ QOL. Educational strategies focusing on strengthening self-esteem and social support as well as preventing depression and Internet addiction may contribute to improving medical students’ QOL.
KCI
스콜라연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
