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Towards Foreign Tourist at Heritage Sites Using GIS: A Case Study of Lahore
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作者 Atif Ali Raheema Elahi +3 位作者 Muhammad Atif Butt Rashid Mehmood kashif shafique Syed Amer Mahmood 《Journal of Geographic Information System》 2022年第5期516-526,共11页
Pakistan is potentially a good tourist destination for cultural and heritage overs because the Indus and Gandhara Civilizations, and a great Mughals heritage also exists in Pakistan particularly in Lahore city. Touris... Pakistan is potentially a good tourist destination for cultural and heritage overs because the Indus and Gandhara Civilizations, and a great Mughals heritage also exists in Pakistan particularly in Lahore city. Tourism is the fastest growing industry in modern world. This study is based on the number of foreign tourist who visited the heritage sites of Lahore. The purpose of the study is to examine the number of foreign tourist who visited the heritage sites of the Lahore at Shalimar Gardens, Lahore Fort and Lahore Museum and to find the tourism trend in Lahore whether it is declining or growing high. The secondary source of data was used and data was collected from archeology department, Lahore Museum and Pakistan Year Book of Statics 2014. Tools used for research purpose were Microsoft excel, Microsoft word and ARC GIS. The number of foreign tourists that visited Lahore fort were highest in 2006 i.e. 21,178 this is the highest number of tourists who visited Lahore Fort in 15 years and 2906 lowest number of foreign tourist who visited Lahore fort, at Shalimar Gardens highest number of foreign tourists was 8558 in 2000 and the lowest number was 309 in 2013 and at Lahore Museum in 7242 tourists is the highest number of Foreign tourist who visited museum in 2000 and the lowest number of foreign tourists that visited Lahore Museum was 1825 in 2010. The trend of foreign tourism in Lahore is declining after the incident of nine eleven due to terrorism. But now with the efforts of government and work of Walled city authority foreign tourism industry is growing in Lahore as it is the Queen of cities having major and attractive heritage places for tourist. 展开更多
关键词 Temporal Analysis foreign Tourism Lahore Fort Shalimar Gardens Lahore Museum
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Towards a Remote Sensing and GIS-Based Technique to Study Population and Urban Growth: A Case Study of Multan 被引量:1
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作者 Atif Ali Anam Khalid +10 位作者 Muhammad Atif Butt Rashid Mehmood Syed Amer Mahmood Javed Sami Jahanzeb Qureshi kashif shafique Asdullah Khan Ghalib Rizwan Waheed Farhan Ali Rais Mukhtar Muhammad Azhar 《Advances in Remote Sensing》 2018年第3期245-258,共14页
In recent decades, the migration rates of the large cities of Punjab have been risen up to a considerable level due to the lack of employment opportunities as well as lack of facilities in the rural areas of the provi... In recent decades, the migration rates of the large cities of Punjab have been risen up to a considerable level due to the lack of employment opportunities as well as lack of facilities in the rural areas of the province. It has caused an unprecedented and unplanned urbanization across the urban areas of the province. This study has been undertaken to perform fractal analysis about the sprawl in rapidly growing city. GIS and remote sensing data have been used in this study as an emerging technology which is cost effective as well as accurate at the same time. Landsat images have been taken for the study and the sprawl has been calculated with the analysis of the data of each decade for past more than 40 years. It has been observed that the built up area is 47.8 to 141.12 Sq. Km whereas the pattern of urban settlement has been classified as clustered and linear, following the roads network. The temporal population growth also seconded these results. The population growth rate and population density increase, are based on the pixel based extraction of the data from satellite imagery for the period of 2000 to 2014, which is taken as a decision support tool. In 2000, the population of the district increased from 2,071,694 (1981 census) to 2,939,907 and then in 2013, it became 4,384,191 at a rate to 2.93% upturn per annum. Moreover, the study also reveals the extent of the growth of other land uses as well which may be taken as a reference that in an agricultural country like Pakistan, the natural resources are being wasted (by urbanization of the fertile land). There must be some master planning to avoid such things in the other cities as well. 展开更多
关键词 URBAN SPRAWL POPULATION Growth SPATIO-TEMPORAL REMOTE Sensing LAND Use Pakistan
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Flood Frequency Analysis of Chenab River for Predicting Peak Flows during Late Monsoon Period
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作者 Muhammad Atif Butt Atif Ali +7 位作者 Sonia Ijaz Rashid Mehmood Syed Amer Mahmood Ghulam Jaffer kashif shafique Asadullah Khan Ghalib Rizwan Waheed Ali Iqtadar Mirza 《Advances in Remote Sensing》 2019年第1期1-29,共29页
The River Chenab is one of the main western rivers of the Indus River system in Pakistan, which undergoes intensive inundation almost every year during the late monsoon period. The present study performs flood frequen... The River Chenab is one of the main western rivers of the Indus River system in Pakistan, which undergoes intensive inundation almost every year during the late monsoon period. The present study performs flood frequency analyses for the river basin as well as simulates different levels of water flow in the system to speculate all kinds of inundation under different scenarios, i.e., to predict flood hazard and flood extended areas. Flood frequency analyses were performed at MARALA Headworks to Khanki Headworks. Data were collected from the Punjab Irrigation Department, Pakistan and from USGS and ASTER GDEM. The peak discharge of MARALA Headworks had been analyzed for 25 years. The preprocessing was performed in HEC Geo-RAS after preprocessing model run in HEC-RAS. After analysis the data were exported in HEC-RAS to ARCMAP to generate a floodplain and inundation map. Our analysis generated the result that different areas would be under water in different return periods. Flood hazards maps for different return periods 10, 20, 50 and 100 years were conducted using annual peaks flow of 35 years from 1980 to 2016. The maximum discharges at up and down stream for different periods were obtained using Gumbel distribution model results which showed that different areas were predicted under water in different return periods and affected areas after five years’ return period. 展开更多
关键词 ASTER GDEM HEC Geo-RAS ARCMAP Gumbel Distribution Model
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