Advance Ensemble Flood Warning System: A Case Study for Nullah Lai
River flow forecasting is an essential tool to manage floods in the current era, especially for flash flooding scenarios in urban areas. This study focuses the flash flooding scenario in the Nullah Lai basin, which comprises the twin cities Islamabad and Rawalpindi. Steep slopes in the Margalla hill...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Environmental Sciences Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4931/25/1/96 |
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| author | Muhammad Aamir Siddiqui Mudasser Muneer Khan Rabia Khan Syyed Adnan Raheel Shah |
| author_facet | Muhammad Aamir Siddiqui Mudasser Muneer Khan Rabia Khan Syyed Adnan Raheel Shah |
| author_sort | Muhammad Aamir Siddiqui |
| collection | DOAJ |
| description | River flow forecasting is an essential tool to manage floods in the current era, especially for flash flooding scenarios in urban areas. This study focuses the flash flooding scenario in the Nullah Lai basin, which comprises the twin cities Islamabad and Rawalpindi. Steep slopes in the Margalla hills and Islamabad create high numbers of flash floods in the lower reaches of Rawalpindi, which are densely populated. When high-intensity rainfall occurs in the steep slopes of Margalla and Islamabad, high-volume floods with high velocity pour down, which instantaneously reaches the less-sloped Rawalpindi regions, which causes the raising of the water level in the stream, and flooding occurs. The section of the Nullah Lai Rawalpindi starting from the Qatarian bridge to the Gawalmandi bridge has always faced flash flooding over time. In the period of few hours, the water level reaches several fts in the nullah, which is why it is not possible to alert the people living on the banks in a timely manner, a problem that illuminates the need for a forecasting system at Nullah Lai. In the current research, the China Metrological Agency forecast center (CMA)’s ensemble forecast data have been utilized to achieve forecasts in the Nullah Lai. For this purpose, two initial objectives were set to achieve which basic needs are required process the data available in grib format from data centers. A digital model of the Nullah Lai was made using hydrology tools available in ArcGIS 10.3. A digital equation was obtained from gene expression modeling (GEP), which was later used to generate the ensemble stage forecast against the ensemble rainfall forecast. The results obtained show that the flash flooding phenomenon in Nullah Lai can, with some uncertainty, be predicted well in time. Using 3-days-ahead forecast data from CMA, the same floods were predicted 3 days before the event. This research also provides the procedure to use the ensemble forecast data in developing an automated model to generate the ensemble stage forecast for coming events. This study will help the administrative authorities better manage the upcoming floods and save lives and capital costs lost in the flash flooding phenomena which continuously happen in the basin of the Nullah Lai. |
| first_indexed | 2024-03-11T02:30:19Z |
| format | Article |
| id | doaj.art-fab0aad6de8b4be2ba4bfffbe0061044 |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-03-11T02:30:19Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-fab0aad6de8b4be2ba4bfffbe00610442023-11-18T10:20:18ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-03-012519610.3390/ECWS-7-14197Advance Ensemble Flood Warning System: A Case Study for Nullah LaiMuhammad Aamir Siddiqui0Mudasser Muneer Khan1Rabia Khan2Syyed Adnan Raheel Shah3Department of Civil Engineering, Bahauddin Zakariya University, Multan 66000, PakistanDepartment of Civil Engineering, Bahauddin Zakariya University, Multan 66000, PakistanDepartment of Agriculture, Forest and Range Management, Bahauddin Zakariya University, Multan 66000, PakistanDepartment of Civil Engineering, NFC-Institute of Engineering & Technology, Multan 66000, PakistanRiver flow forecasting is an essential tool to manage floods in the current era, especially for flash flooding scenarios in urban areas. This study focuses the flash flooding scenario in the Nullah Lai basin, which comprises the twin cities Islamabad and Rawalpindi. Steep slopes in the Margalla hills and Islamabad create high numbers of flash floods in the lower reaches of Rawalpindi, which are densely populated. When high-intensity rainfall occurs in the steep slopes of Margalla and Islamabad, high-volume floods with high velocity pour down, which instantaneously reaches the less-sloped Rawalpindi regions, which causes the raising of the water level in the stream, and flooding occurs. The section of the Nullah Lai Rawalpindi starting from the Qatarian bridge to the Gawalmandi bridge has always faced flash flooding over time. In the period of few hours, the water level reaches several fts in the nullah, which is why it is not possible to alert the people living on the banks in a timely manner, a problem that illuminates the need for a forecasting system at Nullah Lai. In the current research, the China Metrological Agency forecast center (CMA)’s ensemble forecast data have been utilized to achieve forecasts in the Nullah Lai. For this purpose, two initial objectives were set to achieve which basic needs are required process the data available in grib format from data centers. A digital model of the Nullah Lai was made using hydrology tools available in ArcGIS 10.3. A digital equation was obtained from gene expression modeling (GEP), which was later used to generate the ensemble stage forecast against the ensemble rainfall forecast. The results obtained show that the flash flooding phenomenon in Nullah Lai can, with some uncertainty, be predicted well in time. Using 3-days-ahead forecast data from CMA, the same floods were predicted 3 days before the event. This research also provides the procedure to use the ensemble forecast data in developing an automated model to generate the ensemble stage forecast for coming events. This study will help the administrative authorities better manage the upcoming floods and save lives and capital costs lost in the flash flooding phenomena which continuously happen in the basin of the Nullah Lai.https://www.mdpi.com/2673-4931/25/1/96ensembleflash floodingNullah Laiflood forecastingcatchmentgene expression modeling |
| spellingShingle | Muhammad Aamir Siddiqui Mudasser Muneer Khan Rabia Khan Syyed Adnan Raheel Shah Advance Ensemble Flood Warning System: A Case Study for Nullah Lai Environmental Sciences Proceedings ensemble flash flooding Nullah Lai flood forecasting catchment gene expression modeling |
| title | Advance Ensemble Flood Warning System: A Case Study for Nullah Lai |
| title_full | Advance Ensemble Flood Warning System: A Case Study for Nullah Lai |
| title_fullStr | Advance Ensemble Flood Warning System: A Case Study for Nullah Lai |
| title_full_unstemmed | Advance Ensemble Flood Warning System: A Case Study for Nullah Lai |
| title_short | Advance Ensemble Flood Warning System: A Case Study for Nullah Lai |
| title_sort | advance ensemble flood warning system a case study for nullah lai |
| topic | ensemble flash flooding Nullah Lai flood forecasting catchment gene expression modeling |
| url | https://www.mdpi.com/2673-4931/25/1/96 |
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