AI Summary & Key Takeaways
AI InsightHowever, TP displayed smoother results at the points where the rain gauges were closer to each other or dense.
📌 3 Key Takeaways
Abstract
Porsuk River Basin, located in the Central Anatolia, Turkey, has a drainage area of 10818.41 km2 and a total length of 460 km, which makes it a significant region for a variety of hydrological and hydropower studies. Therefore, it is necessary to determine the rainfall distribution over the basin so that related projects and processes, such as dam planning works, can be properly performed. To fulfil this aim, the meteorological data gauged between 1927-2015 by 15 different stations within and around the study area were used to perform interpolation functions with three widely known spatial distribution methods, namely Thiessen Polygons (TP), Spline (SP) and Inverse Distance Weighting (IDW), for the determination of the rainfall distribution. Moreover, the reliability of these methods was also evaluated and compared in terms of their Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Correlation Coefficient (R2) values. The results revealed that IDW method, in general, was the most appropriate option for Porsuk River Basin in comparison with SP and TP methods, as MAE, MSE, RMSE and R2 values of this method was found 33.359, 1710.385, 41.357 and 0.7118 respectively. However, TP displayed smoother results at the points where the rain gauges were closer to each other or dense.
Özet
Porsuk River Basin, located in the central Anatolia, Turkey, has a drainage area of 10818.41 km2 and a total length of 460 km, which makes it a significant region for a variety of hydrological and hydropower studies. Therefore, it is necessary to determine the rainfall distribution over the basin so that related projects and processes, such as dam planning works, can be properly performed. To fulfill this aim, the meteorological data gauged between 1927-2015 by 15 different stations within and around the study area were used to perform interpolation functions with three widely known spatial distribution methods, namely Thiessen Polygons (TP), Spline (SP) and Inverse Distance Weighting (IDW), to estimate the rainfall distribution. Moreover, the reliability of these methods were also evaluated and compared in terms of their Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Correlation Coefficient (R2) values. The results revealed that IDW method, in general, was the most appropriate option for Porsuk River Basin comparison with methods of SP and TP, as it generated the MAE, MSE, RMSE and R2 values of 33.359, 1710.385, 41.357 and 0.7118 respectively. However, TP displayed a smoother result at the point, where the rain gauges are closer to each other or highly densed.