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Spatial Rainfall Variability and an Increasing Threat of Drought, According to Climate Change in Uttaradit Province, Thailand

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Atmospheric and Climate Sciences 2020年第3期10卷 357-371页

作者： muhammad farhan ul moazzam Byung Gul Lee Ghani Rahman Tahir Waqas Department of Civil Engineering College of Ocean Science Jeju National University Jeju South Korea Department of Geography University of Gujrat Gujrat Pakistan Department of Disaster Management Riphah International University Islamabad Pakistan

This study presents the work commenced in northern Thailand on spatial and temporal variability of rainfall. Thirty years (1988-2017) rainfall data of eight meteorological stations were used for assessing temporal variability and trend analysis. The results showed decreasing trend in rainfall from its first half of the observed study period (1988-2002) to last half of the time period (2003-2017) in total average annual as well as monsoonal average rainfall by 14.92% and 15.50% respectively. It was predicted from linear regression results that by 2030 the average annual and monsoonal rainfall will drop by 35% and 34.10% respectively. All stations showed negative trend except Fakara met-station in annual rainfall. In the seasonal trend analysis, the results showed decreasing trend almost in all met-stations. Mann-Kendall trend test was applied to assess the trend. All met-stations show significant negative trend. To assess drought in the study area, Standardized Precipitation Index (SPI) was applied to 12-month temporal time period. The results predicted meteorological drought in the near future. The spatial distribution of rainfall presented changing phenomena in average annual, monsoonal, winter, and summer seasons in both analyzed periods.

关键词： Climate Change Temporal Variability Meteorological Drought Mann Kendall Test Standardized Precipitation Index

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Spatio-Statistical Analysis of Flood Susceptibility Assessment Using Bivariate Model in the Floodplain of River Swat, District Charsadda, Pakistan

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Journal of Geoscience and Environment Protection 2020年第5期8卷 159-175页

作者： muhammad farhan ul moazzam Byung Gul Lee Atta Ur Rahman Nasir Farid Ghani Rahman Department of Civil Engineering College of Ocean Science Jeju National University Jeju South Korea Department of Geography University of Peshawar Peshawar Pakistan Department of Geography University of Gujrat Gujrat Pakistan

Flood is one of the most predominant disasters around the globe and frequently occurring phenomena in the northern part of Pakistan. In this study, the effects of various divisions of flood inventory and combinations of conditioning factors were assessed for the preparation of final susceptibility map. The flood inventory map was prepared for Charsadda by visual interpretation of Landsat-7 image alongside the field survey and a total of 161 flood locations were mapped. The flood inventory was subsequently divided into training and validation datasets, 129 (80%) and 112 (70%) locations for training the model and 32 (20%) and 49 (30%) for validation of the model. In this study, nine conditioning factors were used (Elevation, Slope, Aspect, Curvature, Plan curvature, Profile curvature, Proximity to river, roads, and Land use/land cover) for the development of flood susceptibility map. All the conditioning factors were correlated with flood inventory map using the information value method. The final susceptibility maps were validated using prediction rate and success rate curve. The results from validation showed that the areas under curve in the prediction rate curve for the models are: Model A (99.47%), Model B (95.04%), and Model C (94.06%), respectively. The Area under curve (AUC) in the success rate curve obtained for the three models are: Model A (95.03%), Model B (86.91%), and Model C (89.67%), respectively. Eventually, the susceptibility maps were classified into five susceptibility zones. The success rate and prediction rate curve indicated that model A has more accuracy in comparison to model B and model C;though, the results obtained from prediction and success rate curve indicated that all the models are reliable and has no significant difference between the susceptibility maps. Consequently, results obtained from this study are useful for researchers, disaster managers, and decision-makers to manage the flood-prone areas in the study area to mitigate the fl

关键词： Flood Inventory Information Value Method Flood Conditioning Factors Flood Susceptibility Index

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旁遮普天津技术大学机械工程专业应用型人才培养体系研究

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天津职业技术师范大学学报 2018年第3期28卷 71-74页

作者：徐超辉赵巍 RAMMIZ ul-hassan ASMA Bakht muhammad farhan-ejaz 天津职业技术师范大学机械工程学院天津300222 旁遮普天津技术大学机电工程学院拉合尔999010

针对巴基斯坦教育现状,结合本地经济与人才需求的相互关系,介绍了旁遮普天津技术大学的培养理念与目标,并以机械工程专业为例,从课程体系制定、教学组织实施、评价反馈机制等环节入手,阐述在OBE教育理念的指导下,如何有效构建完整的应... 详细信息

针对巴基斯坦教育现状,结合本地经济与人才需求的相互关系,介绍了旁遮普天津技术大学的培养理念与目标,并以机械工程专业为例,从课程体系制定、教学组织实施、评价反馈机制等环节入手,阐述在OBE教育理念的指导下,如何有效构建完整的应用型人才培养体系,旨在为国内外同类院校和专业的建立提供参考。

关键词：旁遮普天津技术大学人才培养体系 OBE

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