Quantifying the Impact of Deforestation on Hydrological Regimes in Nigeria through Remote Sensing and Hydrological Modeling

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@article{1704932,
      author = {Dauda Sulaimon A., Orimogunje O. O. I},
      title = {Quantifying the Impact of Deforestation on Hydrological Regimes in Nigeria through Remote Sensing and Hydrological Modeling},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {2},
      pages = {227-236},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704932.pdf},
      abstract = {This study investigates the relationships between hydrological regimes and various independent variables, including deforestation, precipitation, land use and land cover change, topography, soil properties, and watershed characteristics in Nigeria. Hydrological regimes play a vital role in water distribution and availability, affecting ecosystems, agriculture, and human settlements. The research employs regression analysis to explore the impacts of the independent variables on hydrological regimes. The results show that the models tested have low R? values, suggesting that the selected independent variables collectively explain only a small portion of the variance in hydrological regimes. The coefficients for the independent variables are close to zero, with non-significant p-values, indicating a weak impact on hydrological regimes in the context of the current dataset. The correlation matrix further supports the regression analysis results, showing weak or negligible linear relationships between hydrological regimes and the independent variables.},
      keywords = {Hydrological Regimes, Deforestation, Precipitation Variability, Land Use Change, Topography, Soil Properties, Watershed Characteristics.},
      month = {August},
  }