|Project's title||Application of remote sensing for assessing and monitoring water quality changes of lakes in Hanoi under the impacts of urbanization and climate change|
|Research hosting institution||Institute of Geography|
|Project leader’s name||Prof. Dr. Pham Quang Vinh|
|Project duration||01/01/2019 - 31/12/2021|
|Project’s budget||600 million VND|
|Goal and objectives of the project|| |
- Building the scientific basis and selecting an appropriate methodology to estimate water quality parameters (chlorophyll-a concentration (Chl-a), Secchi Disk Depth (SD), and the lake trophic state index (TSI)) from Landsat 7, 8, and Sentinel 2 images acquired in the 2005-2019 period ;
|Main results|| |
Theoretical results: The study has built an in situ dataset of water parameters and trophic state of 10 lakes in Hanoi and developed 4 empirical models for estimating Chla, SD, and TSI from Landsat 8 and Sentinel 2A images. These models were successfully applied to assess the trophic state of 10 studied lakes (West Lake, Truc Bach, Giang Vo, Hoan Kiem, Bay Mau, Hai Ba Trung, Nghia Tan, Van Quan, Linh Dam, Yen So). Estimated results evidenced the change of the trophic state of lakes in Hanoi from the highly eutrophic level during 2005 - 2010 into the hypertrophic level since 2015. Over-urbanization has been observed in Hanoi through the strong expansion of built-up area (impervious surface) over 12 the city’s inner districts, from 24% total area in 2005 to 53% total area in 2019. This expansion was highly correlated to the expansion of high LST (R2 = 0.96) and mean LST of districts which are covered by >70 % built-up land (R2 = 0.78), demonstrating the double effect of urbanization and Climate Change on the city ecosystems. Under the impact of temperature raising as stated in RCP 4.5 and 8.5, Chl-a and accompanying TSI will be increased to 68 g/L and 1,4 TSI unit that requires efficient environmental monitoring and management.
|Novelty and actuality and scientific meaningfulness of the results|| |
This project first built an in situ dataset of water parameters and trophic state of 10 lakes in Hanoi and developed total 4 empirical models for estimating Chla, SD, and TSI from Landsat 8 and Sentinel 2A images.
|Products of the project|| |
- Scientific papers in referred journals (list):
|Research area|| |
The results of the project can be transferred to the Hanoi Environment and Natural Resource Department and the Hanoi Sewerage and Drainage One-Member State Limited Company (HSDC).
Expanding research to suburban lakes and integrating artificial intelligence into monitoring water quality in Hanoi city towards better management of natural resources and environment.
|Images of project|| |