Prediction of flood and projection of crop depletion along the Satluj River section, Burewala

Authors

  • Iqra Irfan Rana University of Agriculture Faisalabad, Sub Campus Burewala
  • Sidra Saeed Rana University of Agriculture Faisalabad, Sub Campus Burewala
  • Dr Rana M. Saleem University of Agriculture Faisalabad, Sub Campus Burewala
  • Dr Muhammad Jahangir Khan Namal University, Mianwali
  • Nimra Waheed University of Agriculture Faisalabad, Sub Campus Burewala
  • Huma Irfan University of Agriculture Faisalabad, Sub Campus Burewala

DOI:

https://doi.org/10.70670/sra.v2i2.258

Keywords:

Prediction Of Flood, Crop Depletion, River Section, Projection of River

Abstract

Satluj River is one of the fresh water source in Pakistan, it flows from NE to SW. It enters in Punjab (Pakistan) from India-Pakistan border line nearby district Bahawalpur. The study area has been affected by recent flood of 2023 and it has historical record as well. Machine learning (ML) algorithms of CNN, KNN, ANN and RSME techniques are used to determine the parameters of flood prediction in 1955 to 2030 years. The crop depletion is observed in the field through field work and latest satellite images. The statistical model is used to predict the flood. ML techniques are found helpful tool to observe the expected depletion of crop in the study area. Since we are providing estimate of crop depletion due to future floods, therefore the study is significant for agriculture planning and development, road network and ecosystem of the area. The study is significant to know the risk factors affecting the crops in the flood season and serve better plan the crop fields in the path of running River Channel.

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Published

24-12-2024

How to Cite

Iqra Irfan Rana, Sidra Saeed Rana, Dr Rana M. Saleem, Dr Muhammad Jahangir Khan, Nimra Waheed, & Huma Irfan. (2024). Prediction of flood and projection of crop depletion along the Satluj River section, Burewala. Social Science Review Archives, 2(2), 1957–1972. https://doi.org/10.70670/sra.v2i2.258