APPLICATION OF REMOTE SENSING AND GIS TO IDENTIFY CHLOROPHYLL-A IN THE WEST LAKE AREA- HANOI CITY

Authors

  • Duong Thi Loi Faculty of Geography, Hanoi National University of Education, Hanoi city, Vietnam
  • Vu Thi Kieu Anh TH School, Hanoi city, Vietnam
  • Nguyen Van Manh Faculty of Geography, Hanoi National University of Education, Hanoi city, Vietnam

DOI:

https://doi.org/10.18173/2354-1067.2024-0032

Keywords:

Chl-a, West Lake, Remote Sensing, GIS, Hanoi

Abstract

The decline of water quality in inland lakes is an ongoing concern in large cities, seriously affecting the city outlook and the health of the residents. Chlorophyll-a is one of the important indicators to evaluate the level of eutrophication in lakes. The purpose of this study is to identify the Chlorophyll-a in the West Lake, Hanoi based on Landsat 8-OLI satellite data and field measurement results. Research results show that the Chlorophyll-a in the West Lake area is very high, ranging from 186 - 288 μg/L with a super eutrophication situation. The linear algorithm is used to determine the linear relationship between the ratio of image bands and Chlorophyll–a. Accordingly, the Green/Blue band ratio (B3/B2) is considered the most suitable to determine Chl-a level in the study area with R² = 0.78, average error 44.7. The results of the study confirmed the potential for Landsat data to be used as a free and effective tool for monitoring water quality in inland lakes.

References

[1] Chau NDG, Sebesvari Z, Amelung W & Renaud FG, (2015). Pesticide pollution of multiple drinking water sources in the Mekong Delta, Vietnam: evidence from two provinces. Environmental Science and Pollution Research, 22(12), 9042-9058.

[2] Zulkifli CZ, Garfan S, Talal M, Alamoodi AH & Alamled A, (2022). IoT-Based Water Monitoring Systems: A Systematic Review. Water, 14 (22).

[3] Mittenzwey KH, Gitel AA, Lopatchenko AA, Sukhorokov BL & Voigt T, (1988). In-situ Monitoring of Water Quality on the Basis of Spectral Reflectance. Ship-borne Experiments for the Development of Remote Sensing Algorithms Especially for the Estimation of Algae Content in Natural Waters. International Review of Hydrobiology, 73(1), 61-72.

[4] Håkanson L, Bryhn AC & Hytteborn JK, (2007). On the issue of limiting nutrient andpredictions of cyanobacteria in aquatic systems. Science of The Total Environment, 379, 89-108.

[5] Tiit K, Donald CP, Kari YK, Anu R & Sebastian S, (2005). Mapping lake CDOM by satellite remote sensing. Remote Sensing of Environment, 94(4), 535-540.

[6] Eugenio F, Marcello J & Martin J, (2020). Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon. Remote Sensing, 12(2), 284.

[7] Olmanson LG, Bauer ME & Brezonik PL, (2008). A 20-year Landsat water clarity census of Minnesota's 10,000 lakes. Remote Sensing of Environment, 112(11), 4086 – 4097.

[8] FadelA, Faour G & Slim K, (2016). Assessment of The trophic state and Chlorophyll-a concentrations using Landsat OLI in Karaoun reservoir, Lebanon. Lebanese Science Journal, 17(2), 130-145.

[9] Poddar S, Chacko N & Swain D, (2019). Estimation of Chlorophyll-a in Northern Coastal Bay of Bengal Using Landsat-8 OLI and Sentinel-2 MSI Sensors. Frontiers in Marine Science, 6.

[10] NTT Hà, BĐ Cảnh, NTP Thảo & BT Nhị, (2016). Thử nghiệm mô hình hóa sự phân bố không gian của hàm lượng chlorophyll-a và chỉ số trạng thái phú dưỡng nước Hồ Tây sử dụng ảnh Sentinel-2A. Tạp chí khoa học Đại học Quốc gia Hà Nội: Các khoa học Trái Đất và Môi trường, 32(2S), 121-130.

[11] Vinh PQ, Ha NTT, Binh NT, Thang NN & Thao NTP, (2019). Developing an algorithm for estimating chlorophyll-a concentration in the Thac Ba Reservoir surface water using Landsat 8 Imagery. Vietnam Journal of Earth Sciences, 41(1), 10-20.

[12] ĐH Tuấn & ĐP Anh, (2023). Đánh giá mức độ phú dưỡng tại một số hồ nội thành tại quận Hai Bà Trưng, thành phố Hà Nội. Tạp chí khí tượng thủy văn, 754, 1-8.

[13] Manh NV, Chao HL, Hien LTT & Ariel CB, (2021). Multi-task Convolution Neural Network for Season-Insensitive Chlorophyll-A Estimation in Inland Water. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 10439-10449. [14] James LM, Giulietta SF & Charles RM, (2003). Ocean Optics Protocols For Satellite Ocean Color Sensor Validation: Radiometric Measurements and Data Analysis Protocols. NASA/TM, 3, 1-84.

[15] Carlson RE, (2003). A trophic state index for lakes. Limnology and Oceanography, 22(2), 361-369.

[16] Tổng cục thống kê thành phố Hà Nội, (2022). Niêm giám thống kê thành phố Hà Nội. NXB Thống kê.

[17] Eoin O, Sinead O, Thomas N & Damien M, (2014). A multi-wavelength discriminating sensor with a wireless mote interface for aquatic pollution monitoring. International Journal on Smart Sensing and Intelligent Systems, 7(5), 1-4.

[18] N Dương, (2019). Cá chết nổi bốc mùi hôi thối ở Hồ Tây, hồ Hồ Đắc Di. Báo Dân Trí, số ra ngày 26/08/2019.

Published

2024-05-12

How to Cite

Thi Loi, D., Thi Kieu Anh, V., & Van Manh, N. (2024). APPLICATION OF REMOTE SENSING AND GIS TO IDENTIFY CHLOROPHYLL-A IN THE WEST LAKE AREA- HANOI CITY. HNUE Journal of Science: Journal of Social Sciences, 69(2), 113-121. https://doi.org/10.18173/2354-1067.2024-0032