@article{Ojo:334614,
      recid = {334614},
      author = {Ojo, Olumuyiwa Idowu and Adewemimo, Olakunle and  Abegunrin, Toyin Peter},
      title = {RIVER ONA DISCHARGE MODELING USING GIS AND LOGARITHMIC  TRANSFORMATION MODEL},
      journal = {African Journal of Land Policy and Geospatial Sciences},
      address = {2022-11-01},
      number = {2367-2023-1100},
      month = {Nov},
      year = {2022},
      abstract = {Climate unpredictability and change in climatic parameters  have direct influence on environment and human existence. A  negative change in the climate, always have its  corresponding dysfunctional impacts on man and the  ecosystem globally or locally leading to flooding, poor  agricultural yields, famine, and even death at some stages.  Knowledge and information on the climatic variation  parameters in an environment is very vital for  environmental study assessment and proper planning.  Therefore, evaluating the effect of weather variability on  discharge of Ona River in Ibadan cannot be under-estimated.  A methodology to evaluate river discharge exclusively from  remotely sensed data was developed. Water surface width and  maximum channel width measured from satellite images of Ona  River was coupled with channel slope data obtained from  topographic maps created using Shuttle Radar Topography  Mission (SRTM) were used to estimate the discharge. Landsat  images were acquired for the years 1990, 2000 and 2015,  which were used to determine anthropogenic activities. SRTM  and Quick bird were used to model environmental changes and  effects on the discharge of Ona River. The weather change  effects on water discharge from Ona River in Ibadan was  examined in three phases; site observation and data  collection which was done in 2015 to get weather and  discharge data of Ona River for each month, model  simulation of temperature to determine discharge was done  using regression model analysis. The rainfall distribution  is being revealed to have strong effect on the discharge  rate (R2 = 0.77) and that of temperature on discharge rate  of Ona River (R2 = 0.80). In 2015, the influence of  rainfall on discharge rate was stronger (R2 = 0.85) while  the discharge was 2.88m3/s. The monthly  temperature-discharge gives a negative relationship  (R2=0.55). There is strong negative relationship between  vegetation and rainfall, -0.7. It has been projected that  in 2028, the discharge rate will be reduced to 2.17 m3/s.  There is evidence of dynamic responses of rivers to  precipitation rate, which implied a significant response  between rainfall and discharge and the negative effect of  anthropogenic activities on rivers. This result can be used  to predict the discharge of rivers given weather and  environmental factors.},
      url = {http://ageconsearch.umn.edu/record/334614},
      doi = {https://doi.org/10.22004/ag.econ.334614},
}