Annual Variation Characteristics of Eutrophication in Dongting Lake, China. Issue 2 (6th April 2020)
- Record Type:
- Journal Article
- Title:
- Annual Variation Characteristics of Eutrophication in Dongting Lake, China. Issue 2 (6th April 2020)
- Main Title:
- Annual Variation Characteristics of Eutrophication in Dongting Lake, China
- Authors:
- Xue, Yun
Liu, Fengjiao
Liu, Jianglong
Sun, Yurong - Abstract:
- Abstract : The Eutrophication assessment model of Dongting Lake was established based on HJ-1 data and synchronous observation data on the ground. The seasonal variation characteristics of eutrophication in Dongting Lake were studied to provide a theoretical basis for the restoration and management of eutrophication in Dongting Lake. The remote sensing model of Chla concentration inversion was established through the comparative analysis of the linear model, exponential model, logarithmic model and quadratic polynomial model by 38 kinds of band combinations. The maximum relative error of the estimated chlorophyll concentration was 52%, the minimum relative error was 0.7%, and the average relative error was 22.81%. The RMSE of 13.71 mg/m 3, was far lower than the average concentration of 34.16 mg/m 3 . In this paper, the nutrient status index of Chla concentration (TLI (Chla)) was used as the nutrient status evaluation model. The results showed: (1) From the perspective of time distribution, the eutrophication degree decreased successively in summer, autumn, spring, and winter. Dongting Lake is mainly in the state of moderate nutrition, which may be attributed to its unique hydrological conditions (short water cycle and fast flow rate). (2) Eutrophicated water bodies are mainly distributed in the East Dongting Lake and inner lake where the water flow is relatively slow. The water bodies with pool nutrient status are mainly distributed in the outer lake areas where the waterAbstract : The Eutrophication assessment model of Dongting Lake was established based on HJ-1 data and synchronous observation data on the ground. The seasonal variation characteristics of eutrophication in Dongting Lake were studied to provide a theoretical basis for the restoration and management of eutrophication in Dongting Lake. The remote sensing model of Chla concentration inversion was established through the comparative analysis of the linear model, exponential model, logarithmic model and quadratic polynomial model by 38 kinds of band combinations. The maximum relative error of the estimated chlorophyll concentration was 52%, the minimum relative error was 0.7%, and the average relative error was 22.81%. The RMSE of 13.71 mg/m 3, was far lower than the average concentration of 34.16 mg/m 3 . In this paper, the nutrient status index of Chla concentration (TLI (Chla)) was used as the nutrient status evaluation model. The results showed: (1) From the perspective of time distribution, the eutrophication degree decreased successively in summer, autumn, spring, and winter. Dongting Lake is mainly in the state of moderate nutrition, which may be attributed to its unique hydrological conditions (short water cycle and fast flow rate). (2) Eutrophicated water bodies are mainly distributed in the East Dongting Lake and inner lake where the water flow is relatively slow. The water bodies with pool nutrient status are mainly distributed in the outer lake areas where the water flows faster, such as West Dongting Lake. … (more)
- Is Part Of:
- Proceedings of ICE. Volume 173:Issue 2(2020:Apr.)
- Journal:
- Proceedings of ICE
- Issue:
- Volume 173:Issue 2(2020:Apr.)
- Issue Display:
- Volume 173, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 173
- Issue:
- 2
- Issue Sort Value:
- 2020-0173-0002-0000
- Page Start:
- 1
- Page End:
- 18
- Publication Date:
- 2020-04-06
- Subjects:
- Environmental impact -- Hydrology & water resource -- Information technology
Hydraulic engineering -- Periodicals
Water-supply engineering -- Periodicals
Water resources development -- Periodicals
627 - Journal URLs:
- https://www.icevirtuallibrary.com/journal/jwama ↗
- DOI:
- 10.1680/jwama.19.00026 ↗
- Languages:
- English
- ISSNs:
- 1741-7589
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 13907.xml