Assessment of eutrophication in Yen So Lake using Sentinel-2 images and Co-kriging

Affiliations:
1 Faculty of Geology, VNU University of Science, Vietnam National University, Hanoi, Vietnam
2 Faculty of Geography, Hanoi National University of Education, Hanoi, Vietnam
- *Corresponding:This email address is being protected from spambots. You need JavaScript enabled to view it.
- Keywords: Eutrophication, Modelling, Sentinel 2, TSI, Yen So Lake.
- Received: 31st-Mar-2025
- Revised: 29th-July-2025
- Accepted: 16th-Aug-2025
- Online: 1st-Oct-2025
- Section: Geomatics and Land Administration
Abstract:
This study aims to map the spatial distribution of the trophic state index (TSI) in Yen So Lake utilizing an in-situ dataset of Chlorophyll-a (Chla) collected from 23 sampling points within the Yen So Lake on 29/11/2021; 3/4/2022; 14/12/2023 and 69 sampling points in West Lake on 4/12/2021; 18/1/2022; 7/7/2023 coupled with Sentinel-2 (S2) satellite imagery acquired on these dates, thereby helping to optimize assessment of eutrophication in Yen So Lake. By leveraging the correlation between TSIChla and the spectral ratio of band 7 to band 3 of the S2 images (with a correlation coefficient of 0.83), 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 (R2) and the standard errors (RMSE), increasing from 0.17÷0.63 to 0.67÷0.89 and from 2.33÷4.22 to 0.32÷0.58, respectively. The results show that Yen So Lake is hypertrophic with TSIChla > 78 at all measurement times. The TSIChla values exhibited seasonal variations, being lower during the dry season (November to December) and higher during the rainy season (April). Spatially, elevated TSIChla values were primarily observed near the drainage channel inlets along the lakeshore and in the three smaller lakes within Yen So Park. These findings highlight the utility of S2 imagery as an effective tool for monitoring and evaluating eutrophication in Yen So Lake.

Carey, C.C., Ibelings, B.W., Hoffmann, E.P., Hamilton, D.P., Brookes, J.D. (2012). Eco-physiological adaptations that favour freshwater cyanobacteria in a changing climate. Water Research, 46(5), 1394-1407.
Carlson, R.E. (1977). A trophic state index for lakes 1. Limnology and oceanography,22(2), 361-369.
Carlson, R. E. and Simpson, J. (1996). A coordinator’s guide to volunteer lake monitoring methods. North American Lake Management Society, 96, 305.
Cheng, K. S., and Lei, T. C. (2001). Reservoir trophic state evaluation using Landsat TM images 1. JAWRA Journal of the American Water Resources Association, 37(5), 1321-1334.
Prasad, A. D., and Siddaraju, P. (2012). Carlson’s Trophic State Index for the assessment of trophic status of two Lakes in Mandya district. Advances in Applied Science Research, 3(5), 2992-2996.
Do, T. N., Nguyen, D. M. T., Ghimire, J., Vu, K. C., Do Dang, L. P., Pham, S. L., and Pham, V. M. (2023). Assessing surface water pollution in Hanoi, Vietnam, using remote sensing and machine learning algorithms. Environmental Science and Pollution Research, 30(34), 82230-82247.
Đỗ, H. T. and Đoàn, P. A. (2023). Đánh giá mức độ phú dưỡng tại một số hồ nội thanh tại quận Hai Bà Trưng, thành phố Hà Nội. Tạp chí khí tượng thủy văn, 754, 1-8.
Gholizadeh, M. H., Melesse, A. M., and Reddi, L. (2016). A comprehensive review on water quality parameters estimation using remote sensing techniques. Sensors, 16(8), 1298.
Ha, N. T. H., Dao, P. T. B., Loan, D. T., Thanh, N. N., Dinh, N., Tuan, P. T. M., and Khoa, T. D. (2015). Microalgae as indicators of eutrophication in Hoan Kiem lake, Hanoi, Vietnam. Vietnam Journal of Biotechnology, 13(2), 355-365.
Ha, N. T. T., Koike, K., and Nhuan, M. T. (2013). Improved accuracy of chlorophyll-a concentration estimates from MODIS imagery using a two-band ratio algorithm and geostatistics: As applied to the monitoring of eutrophication processes over Tien Yen Bay (Northern Vietnam). Remote Sensing, 6(1), 421-442.
Vinh, P. Q., Ha, N. T. T., Thao, N. T. P., Linh, N. T., Oanh, L. T., Phuong, L. T., and Huyen, N. T. T. (2022). Monitoring the trophic state of shallow urban lakes using Landsat 8/OLI data: a case study of lakes in Hanoi (Vietnam). Frontiers of Earth Science, 1-16.
Håkanson, L., Bryhn, A. C., and Hytteborn, J. K. (2007). On the issue of limiting nutrient and predictions of cyanobacteria in aquatic systems. Science of the total environment, 379(1), 89-108.
Hoang, T. H. T., Nguyen, V. D., Van, A. D., and Nguyen, H. T. (2020). Decision tree techniques to assess the role of daily DO variation in classifying shallow eutrophicated lakes in Hanoi, Vietnam. Water Quality Research Journal, 55(1), 67-78.
Journel, A. G. (1989). Fundamentals of geostatistics in five lessons (Vol. 8). Washington, DC: American Geophysical Union.
Karabork, H. (2010). Selection of appropriate sampling stations in a lake through mapping. Environ. Monit. Assess., 163, 27-40.
Linh, N. T., Ha, N. T. T., Thao, N. T. P., Pham, Q. V. (2021). Assessing trophic status of suoi hai reservoir using carlson’s trophic state index. Vietnam Journal of Earth Sciences, 43(4), 509-523
Linh, N. T., Pham, T. H. T., Luong, T. P., Vu, T. H., Nguyen, T. T. H., Pham, Q. V. (2019). Using Sentinel-2B Imagery to Estimate the Eutrophication Level of Linh Dam Lake, Hoang Mai District, Hanoi. VNU Journal of Science: Earth and Environmental Sciences, 35(4).
Membrillo-Abad, A. S., Torres-Vera, M. A., Alcocer, J., Prol-Ledesma, R. M., Oseguera, L. A., Ruiz-Armenta, J. R. (2016). Trophic State Index estimation from remote sensing of lake Chapala, México. Revista mexicana de ciencias geológicas, 33(2), 183-191.
Nguyễn Ngân. (2019, 6 tháng 8). Cá chết nổi trắng mặt hồ Yên Sở do nguồn nước bị ô nhiễm?. vov.vn. https://vov.vn/tin-24h/ca-chet-noi-trang-mat-ho-yen-so-do-nguon-nuoc-bi-o-nhiem-946226.vov.
Thảo, N. T. P., Thắng, P. Đ., Hiền, T. T., Thu, N. T. (2023). Đánh giá và mô hình hóa hiện trạng phú dưỡng nước hồ Quan Sơn theo không gian và thời gian. Tạp chí khí tượng thuỷ văn, 748(4), 42-52.
Thảo, N. T. P., Vinh, P. Q., Hà, N. T. T., Thùy, N. (2021). Giám sát biến thiên mức độ phú dưỡng của hồ Hoàn Kiếm dựa vào hàm lượng Chlorophyll-a tính toán từ ảnh Sentinel-2A. Tạp chí Khí tượng Thuỷ Văn, 721(01), 11-20.
Trung tâm Dự báo Khí tượng Thủy văn Quốc gia. (2024). https://phongchongthientai. mard. gov.vn/Pages/thang-12-mau-son-ghi-nhan-nhiet-do-thap-nhat-10-nam-qua.aspx.
Trung tâm nghiên cứu môi trường và cộng đồng (CECR) (2015). Báo cáo hồ Hà Nội 2015. Nhà xuất bản Phụ nữ, Hà Nội.
Usowicz, B., Lipiec, J., Łukowski, M., and Słomiński, J. (2021). Improvement of spatial interpolation of precipitation distribution using cokriging incorporating rain-gauge and satellite (SMOS) soil moisture data. Remote Sensing, 13(5), 1039.
Văn Yên(2022). Hà Nội: Cá chết hàng loạt ở hồ điều hòa Yên Sở.dantri.vn. https://dantri. com. vn/xa-hoi/ha-noi-ca-chet-hang-loat-o-ho-dieu-hoa-yen-so-20220628110737363. htm.
Wackernagel, H. (2003). Multivariate Geostatistics: An Introduction with Applications. Springer.
Xiangcan, J. (2003). Analysis of eutrophication state and trend for lakes in China. Journal of Limnology, 62(1s), 60-66.
Xu, Hanqiu. (2006). Modifcation of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery. International Journal of Remote Sensing 27(14), 3025-3033.
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