Nguyen Thien Phuong Thao, Do Huu Toan, Nguyen Thi Thu Ha, Pham Quang Vinh, Ha Cong Tien, Tran Minh Tung, Tran Thi Hien

Main Article Content

Abstract

Knowledge about the spatial and temporal distributions of total suspended sediments (TSS) play a crucial role in effectively managing pollution and optimizing reservoir operations. This study utilized an in-situ dataset of TSS collected from 79 sampling points within the Hoa Binh Reservoir, coupled with Sentinel-2 (S2) satellite imagery acquired on three different dates: 12/07/2023, 19/12/2022, and 15/10/2022 to map the spatial distribution of TSS across the reservoir during these survey dates. By leveraging the correlation between TSS and the spectral ratio of band 3 to band 4 of the S2 images (with a correlation coefficient of 0.90), this band ratio was incorporated as an auxiliary variable to enhance the accuracy of Co-kriging predictions, with a notable improvement in the determination coefficients ( ) and the standard errors (RMSE), increasing from 0.08-0.46 to 0.90-0.95 and from 0.17-0.61 mg/L to 0.09-0.18 mg/L, respectively. The resulting TSS maps revealed two distinct trends: a) elevated TSS levels were observed near discharge rivers, while lower concentrations were found in the vicinity of the dam; b) TSS during the wet season (averaging at 1.85 mg/L) were higher compared to those in the dry season (averaging at 0.75 mg/L). These findings highlight the efficacy of utilizing S2 satellite imagery as a valuable tool for accurately mapping TSS spatial distribution across the Hoa Binh Reservoir.


 

Keywords: Modeling, Suspended solids, Hoa Binh Reservoir, Sentinel-2, Co-kriging.

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