How Hydrological Extremes Affect the Chlorophyll-a Concentration in Inland Water in Jiujiang City, China: Evidence from Satellite Remote Sensing DOI Creative Commons
Wei Jiang, Xiaohui Ding,

Fanping Kong

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(2), P. 85 - 85

Published: Feb. 15, 2025

From 2020 to 2022, hydrological extremes such as severe floods and droughts occurred successively in Jiujiang city, Poyang Lake Basin, posing a threat regional water quality safety. The chlorophyll-a (Chl-a) concentration is key indicator of river eutrophication. Until now, there has been lack empirical research exploring the Chl-a trend inland context extremes. In this study, Sentinel-2 satellite remote sensing data sourced from Google Earth Engine (GEE) cloud platform, along with hourly collected monitoring stations Jiangxi Province, China, are utilized develop quantitative inversion model for concentration. concentrations various types were estimated each quarter spatiotemporal distribution was analyzed. main findings follows: (1) validated via situ measurements, coefficient determination 0.563; (2) spatial estimates revealed slight increasing trend, by 0.1193 μg/L closely aligning monitoring-station data; (3) an extreme drought 2022 led less bodies, consequently, displayed significant upward especially Lake, where mean increased approximately 1 Q1 Q2 2022. These seasonal changes waters events, thus providing valuable information sustainable management city.

Language: Английский

Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner optimization DOI
Siyamak Doroudi, Yusef Kheyruri, Ahmad Sharafati

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 106969 - 106969

Published: Jan. 11, 2025

Language: Английский

Citations

1
How Hydrological Extremes Affect the Chlorophyll-a Concentration in Inland Water in Jiujiang City, China: Evidence from Satellite Remote Sensing DOI Creative Commons
Wei Jiang, Xiaohui Ding,

Fanping Kong

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(2), P. 85 - 85

Published: Feb. 15, 2025

From 2020 to 2022, hydrological extremes such as severe floods and droughts occurred successively in Jiujiang city, Poyang Lake Basin, posing a threat regional water quality safety. The chlorophyll-a (Chl-a) concentration is key indicator of river eutrophication. Until now, there has been lack empirical research exploring the Chl-a trend inland context extremes. In this study, Sentinel-2 satellite remote sensing data sourced from Google Earth Engine (GEE) cloud platform, along with hourly collected monitoring stations Jiangxi Province, China, are utilized develop quantitative inversion model for concentration. concentrations various types were estimated each quarter spatiotemporal distribution was analyzed. main findings follows: (1) validated via situ measurements, coefficient determination 0.563; (2) spatial estimates revealed slight increasing trend, by 0.1193 μg/L closely aligning monitoring-station data; (3) an extreme drought 2022 led less bodies, consequently, displayed significant upward especially Lake, where mean increased approximately 1 Q1 Q2 2022. These seasonal changes waters events, thus providing valuable information sustainable management city.

Language: Английский

Citations

0