Correlating Climatic Shifts With Snow Cover Dynamics Of Hunza And Nagar Districts Using Geospatial Techniques

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dc.contributor.author Yusra Khurram Butt
dc.contributor.author Sawaira Naz
dc.date.accessioned 2024-02-27T10:22:44Z
dc.date.available 2024-02-27T10:22:44Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17030
dc.description Supervised by Dr. Humera Farah en_US
dc.description.abstract Pakistan is contributing to GHG emissions slightly however, under the massive impact of Climate Change. The cryosphere of Pakistan involves Hindukush, Karakoram, and Himalayan (HKH) mountain ranges, the source of water for river Indus and its tributary running towards the lowland rivers. The Snow cover area(SCA) has a paramount significance, any disturbances can lead to disasters and catastrophes. Keeping everything in mind, a study has been conducted to assess SCA of Hunza and Nagar distircts from MODIS snow cover area product and linkage with climatic data including temperature maximum, minimum and rainfall. The results direct a diminishing trend of the SCA of these districts. The annual temperature is increasing by one degree Celsius. The precipitation shows increasing trend over years. Years 2021 and 2022 are under influence of triple-dip La Nina. The correlation analysis of SCA with all parameters displays a positive correlation with rainfall and a negative with temperature. The conclusion drawn from this study shows a rise in temperature leads to the decrease in SCA which can result in flooding risks and water scarcity in low-lying areas. en_US
dc.language.iso en en_US
dc.publisher Earth and Environmental Sciences, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BS(ES);P-2564
dc.subject Environmental Sciences en_US
dc.subject Snow Cover Changes in Pakistan en_US
dc.subject Downloading the data files en_US
dc.title Correlating Climatic Shifts With Snow Cover Dynamics Of Hunza And Nagar Districts Using Geospatial Techniques en_US
dc.type Project Reports en_US


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