CONTENT: Could you switch the axis for the graphs used in sub-hypothesis one and

CONTENT: Could you switch the axis for the graphs used in sub-hypothesis one and two? As they don’t make sense. Also could you move Figure 1( the one in the methodology) into the evaluation instead? And suggest using it as a method of improvement the evaluation instead of what was mentioned in the methodology. Could you also make the evaluation more relevant to this revised methodology: A refined methodology is crucial to collect high-quality data to evaluate the applicability of Bradshaw’s model to measure the rate of discharge variability as the distance from the source increases. Specific areas along the river were selected to avoid exhaustion from collecting data along the whole river. Furthermore, measuring the distances selected is crucial towards providing precise information for our study. GPS coordinates were utilised to obtain exact locations to make data gathering easier and save resources. The chosen sites along River Gryonne were at varying locations; this was effective because it helped cover the entire river, as required by the study. To get to the channel width, a transect method was used. The transect method is effective and well-established since it is used in river studies to measure channel width variations, for example, Scheleris et al. 1506. Also, bankfull width was measured, and we identified areas where vegetation and soil transitioned from riverbed to floodplain. In addition, the wetted perimeter was calculated to help gain insight into the river’s hydraulic features. To obtain the river’s mean depth to a degree of accuracy, multiple varying river sections were used. Lastly, a cross-sectional profile of the selected river areas was built. Further readings were taken for the study, such as gradient and velocity. Notably, a sampling technique was used to take measurements at a pre-set along the river to ensure that the data collected was inclusive in its presentation of the entire river. Quality control measures such as repeated measures and cross-checks were implemented to maintain the integrity and the quality of the data. The measurement tools were calibrated to ensure accuracy. Robust and invaluable data was collected since it addressed the field question.
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