Version 1
: Received: 28 May 2024 / Approved: 28 May 2024 / Online: 28 May 2024 (14:28:22 CEST)
How to cite:
Li, C.; Wu, H.; Yang, C.; Cui, L.; Ma, Z.; Wang, L. Assessment of Particulate Organic Carbon in the Mediterranean Sea Based on Dual-Optimization Random Forest. Preprints2024, 2024051876. https://doi.org/10.20944/preprints202405.1876.v1
Li, C.; Wu, H.; Yang, C.; Cui, L.; Ma, Z.; Wang, L. Assessment of Particulate Organic Carbon in the Mediterranean Sea Based on Dual-Optimization Random Forest. Preprints 2024, 2024051876. https://doi.org/10.20944/preprints202405.1876.v1
Li, C.; Wu, H.; Yang, C.; Cui, L.; Ma, Z.; Wang, L. Assessment of Particulate Organic Carbon in the Mediterranean Sea Based on Dual-Optimization Random Forest. Preprints2024, 2024051876. https://doi.org/10.20944/preprints202405.1876.v1
APA Style
Li, C., Wu, H., Yang, C., Cui, L., Ma, Z., & Wang, L. (2024). Assessment of Particulate Organic Carbon in the Mediterranean Sea Based on Dual-Optimization Random Forest. Preprints. https://doi.org/10.20944/preprints202405.1876.v1
Chicago/Turabian Style
Li, C., Ziyue Ma and Lejie Wang. 2024 "Assessment of Particulate Organic Carbon in the Mediterranean Sea Based on Dual-Optimization Random Forest" Preprints. https://doi.org/10.20944/preprints202405.1876.v1
Abstract
Particulate organic carbon (POC) is a pivotal component within the marine carbon cycle, actively involved in diverse biogeochemical processes. This study focuses on Mediterranean as the research region, selecting the most influential factors from 47 potential ones influencing surface POC. Using geographic detector for factor identification, ten primary influencers were identified. Preliminarily optimized random forest (BRF), backpropagation neural network, adaptive boosting, and extreme gradient boosting were utilized to construct POC assessment models. Notably BRF exhibited superior performance in estimating the sea surface POC. Further optimization of RF using the tuneRanger R package resulted in R² of 0.868, mean squared error of 1.119 (mg/m³) ², and mean absolute error of 1.041 (mg/m³). Surface POC concentrations in the Mediterranean for May and June 2017 were estimated. Spatial distribution analysis unveiled higher concentrations in the west, lower in the east, higher in the north, lower in the south, with higher levels near the coast and lower far from the coast. Additionally, the study deliberated on the impact of human activities on surface POC in the Mediterranean. This research contributes a high-precision method for satellite retrieval of surface POC concentrations in the Mediterranean, thereby enriching the understanding of POC dynamics in the area.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
