| Student Name | School | Degree | Year | |
|---|---|---|---|---|
| Saifullah | MCE | Undergraduate | Fourth | [email protected] |
| Muhammad Hassan Bin Amir | MCE | Undergraduate | Fourth | [email protected] |
| Muhammad Usman Khalid | MCE | Undergraduate | Fourth | [email protected] |
| Abdullah Abbasi | MCE | Undergraduate | Fourth | [email protected] |
| Muhammad Abdullah Ashfaq | MCE | Undergraduate | Fourth | [email protected] |
| Inter School Idea ? | No |
| Do you need expertises from another area: | No |
| If Yes please provide details of expertises you need: |
| Idea Name: | Drought Indices Forecasting |
| Slogan: | AI-based Climate Change Forecasting in Terms of Drought Indices of Pakistan |
| Supervisor Name: | Dr. Muhammad Amjad |
| Supervisor Designation: | Assistant Professor |
| Supervisor School: | MCE |
| Supervisor Department: | Water Resources Engineering and Management |
| Contact number: | +923126307917 |
| Email ID: | [email protected] |
| Abstract: | |
| Under-developed countries like Pakistan lack in resources to properly monitor hydrometeorological extremes such as droughts. The study intends spatial investigation of historical drought indices over Pakistan as well as future time series forecasting of drought indices using AI-based technique such that the forecasting would focus on some regions of Pakistan more vulnerable to drought hazards. | |
| What is the unmet need in society that your idea will fulfill ? | |
| Although, studies have been conducted in Pakistan focusing on historical drought indices, forecasting these critical indices via analytical techniques (especially AI-based) remains an area yet to be comprehensively focused on. | |
| Who needs it ? How many would benefit ? | |
| Socio-economic system of Pakistan is being and going to be affected by the hydrometeorological extremes like droughts. Thus, a comprehensive study on Pakistan’s drought profile as well as future forecasting of drought indices could offer benefit to sectors like agriculture and disaster management. | |
| How will the solution works | |
| Reanalysis model-based precipitation and temperature data will be obtained from historical archive of ECMWF and will be evaluated by using ground-based observed data as a reference. After comprehensively assessing the statistical accuracy of model-based dataset, drought profiling of Pakistan would be conducted via spatial maps prepared in R statistical software. The last and foremost analyses are focused on time series future forecasting of drought indices using AI-based in-built packages of R. | |
| Who are your competitors ? How is your solution different | |
| To authors’ knowledge, there is no dedicated research work comprehensively focused on the forecasting of drought using AI-based techniques utilizing drought indices in Pakistan. The study is pioneer in offering such a comprehensive and technical analyses-based forecasting. | |
| Status: | new |
| Entry Date & Time: | 2022-12-13 (1709) |