We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Evaluation of the Performance of Spline Interpolation Method in Mapping and Estimating the Total Suspended Solids over the Coastal Water of Pulau Tuba, Kedah
Summary
Spline interpolation was evaluated as a method for predicting and mapping total suspended solid concentrations in coastal waters around Pulau Tuba, Malaysia, using a limited number of sample points. The method showed acceptable accuracy for mapping suspended sediment distribution. Efficient spatial modeling methods help assess water quality across large coastal areas without exhaustive sampling.
Abstract The purpose of this paper is to evaluate the performance of the spline interpolation method in predicting and mapping the concentration of Total Suspended Solids (TSS) in the surface water of Pulau Tuba, Kedah. Thirty sampling points were set up and geolocated using the Geographic Positioning System (GPS). Gravimetric analyses were used to determine the TSS level. Fifty percent of the total sampling points were randomly chosen for developing spatial models using regularised and tension spline methods. The research found that the tension spline methods outperform the regularised spline method. The Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Error Percentage (MAPE) were reported at 351.641, 18.752, 15.81, and 21.51%, respectively. This study’s findings are critical in the domains of spatial statistics and interpolation for creating a precise map of water properties.
Sign in to start a discussion.
More Papers Like This
A Comparative Accuracy of Regularized and Tension Spline Methods to Estimate and Model the Surface Water pH of Pulau Tuba, Langkawi, Kedah
This study compared different mathematical interpolation methods for modeling surface water pH across a coastal area in Malaysia. Accurate spatial modeling of water quality parameters helps researchers understand the distribution of pollutants, including microplastics, in coastal marine environments.
The Mapping of Salinity Level Using The Inverse Distance Weighted (Idw) Interpolation Method Along The Coastal Area of Pulau Tuba, Langkawi
This study tested the accuracy of the inverse distance weighted interpolation method for estimating sea surface salinity along a Malaysian coastline. The research is focused on oceanographic mapping methodology rather than microplastic contamination.
Sediment Suspension Distribution Models in East Canal Flood Estuary Waters, Semarang, Central Java, Indonesia
Researchers assessed the spatial distribution and concentration of total suspended solids (TSS) in the East Canal Flood River estuary of Semarang, Indonesia, using sediment suspension distribution models to map pollution levels and evaluate conformity with regulatory thresholds in this densely populated coastal zone.
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review
This systematic review of over 15,000 papers identified 103 coastal phenomena and 39 parameters that can now be accurately mapped and monitored using remote sensing data. The authors validated 91% of retrieved parameters, demonstrating that satellite and aerial remote sensing has become a comprehensive tool for tracking coastal environmental changes including pollution and habitat degradation.
Optimization and Evaluation of Widely-Used Total Suspended Matter Concentration Retrieval Methods for ZY1-02D’s AHSI Imagery
This study evaluated methods for measuring total suspended matter concentrations in Chinese inland waters using hyperspectral satellite imagery. Remote sensing of water quality is increasingly relevant for monitoring pollution including microplastics in large water bodies.