American Journal of Environmental Science and Engineering

Volume 8, Issue 3, September 2024

  • Research Article

    Gully Erosion Risk Assessment Using a GIS-Based Bivariate Statistical Models and Machine Learning in the Dodota Alem Watershed, Ethiopia

    Gizaw Tesfaye*, Daniel Bekele, Melat Eshetu, Mohamed Rabo, Abebe Bezu, Abera Asefa

    Issue: Volume 8, Issue 3, September 2024
    Pages: 49-64
    Received: 12 August 2024
    Accepted: 4 September 2024
    Published: 23 September 2024
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    Abstract: One of the most significant environmental hazards threatening ecosystems is gully erosion. In this study, we applied two bivariate statistical models—frequency ratio (FR) and index of entropy (IoE)—as well as a machine learning algorithm (RF) to generate gully erosion susceptibility maps (GESM). The study was conducted in the Dodota Alem watershed ... Show More
  • Research Article

    Land Use Land Cover Change and Its Effect on Selected Soil Physico-Chemical Properties in Southwest Ethiopia

    Mesfin Gubila*, Alemayehu Regassa, Gudina Legess, Kassahun Mulatu

    Issue: Volume 8, Issue 3, September 2024
    Pages: 65-78
    Received: 17 August 2024
    Accepted: 9 September 2024
    Published: 26 September 2024
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    Abstract: Land cover transformation exerts adverse effects on the environment. This study examined the changes in land cover in the Semen Bench District of southwest Ethiopia from 1986 to 2018, as well as its implications for soil physico-chemical properties. A mixed-method approach was employed, integrating remote sensing (RS) and geospatial data with soil ... Show More
  • Research Article

    Evaluating the Performance of a Stacking-Based Ensemble Model for Daily Temperature Prediction

    Qiwei Xu, Anqi Guo, Wangzhi Yu*, Chenfei He

    Issue: Volume 8, Issue 3, September 2024
    Pages: 79-85
    Received: 21 August 2024
    Accepted: 23 September 2024
    Published: 29 September 2024
    DOI: 10.11648/j.ajese.20240803.13
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    Abstract: Temperature, as a critical element of weather forecasting, has consistently attracted extensive public attention. Accurate daily temperature prediction is essential for mitigating economic losses, preventing casualties, and maintaining public safety. However, traditional temperature prediction methods often fail to forecast the temperature promptly... Show More