Remote sensing-based spatiotemporal variation and driving factor assessment of chlorophyll-a concentrations in China’s Pearl River Estuary DOI Creative Commons
Wenjie Fan,

Zhihao Xu,

Qian Dong

et al.

Frontiers in Marine Science, Journal Year: 2023, Volume and Issue: 10

Published: Aug. 10, 2023

Climate change and intensive anthropogenic activities have severely challenged the water quality of China’s Pearl River Estuary (PRE). Further investigations into long-term variation associated driving mechanisms are therefore necessary to support sustainable development PRE’s Greater Bay Area (GBA). This study used remote sensing retrieval address spatiotemporal chlorophyll- a (Chl- ) characteristics in PRE relationship between Chl -a concentrations socioeconomic/environmental indicators. Three decades Landsat satellite images measured data were collected, two-band global algorithm was retrieve Chl- concentration data. Results reveal significant variability concentrations. The space-averaged exhibited slight downward trend during past three decades, multi-year mean value 5.20 mg/L. Changes environmental protection policies recent years improved overall quality. western section had highest (i.e., 5.92 mg/L average) while eastern lowest 3.98 average). discrepancy likely caused by section’s more industrial activities, resulting higher wastewater discharge volume. Affected climatic conditions, winter evenly distributed summer significantly higher. Additionally, positively correlated with total phosphorus (TP), nitrogen (TN), ammonia (NH 3 -N), biotic oxygen demand (BOD 5 ). also external factors climate activities). Among these factors, proportion primary industries coastal cities is intended help direct improvement management urban GBA.

Language: Английский

Decision Support Framework for Water Quality Management in Reservoirs Integrating Artificial Intelligence and Statistical Approaches DOI Open Access
Syeda Zehan Farzana, Dev Raj Paudyal,

Sreeni Chadalavada

et al.

Water, Journal Year: 2024, Volume and Issue: 16(20), P. 2944 - 2944

Published: Oct. 16, 2024

Planning, managing and optimising surface water quality is a complex multifaceted process, influenced by the effects of both climate uncertainties anthropogenic activities. Developing an innovative robust decision support framework (DSF) essential for effective efficient management, so it can provide information on assist policy makers resource managers to identify potential causes deterioration. This crucial implementing actions such as infrastructure development, legislative compliance environmental initiatives. Recent advancements in computational domains have created opportunities employing artificial intelligence (AI), advanced statistics mathematical methods use improved management. study proposed comprehensive conceptual DSF minimise adverse extreme weather events change quality. The utilises machine learning (ML), deep (DL), geographical system (GIS) statistical techniques foundation this outcomes from our three studies, where we examined application ML DL models predicting index (WQI) reservoirs, utilising find seasonal trend rainfall quality, exploring connection between streamflow, GIS show spatial temporal variability hydrological parameters WQI. Three potable supply reservoirs Toowoomba region Australia were taken area practical implementation DSF. serve mechanism distinct characteristics understand correlations rainfall, streamflow will enable enhance their making processes selecting management priorities safeguard face future variability, including prolonged droughts flooding.

Language: Английский

Citations

2

The Effect of Rainfall on Aquatic Nitrogen and Phosphorus in a Semi-Humid Area Catchment, Northern China DOI Open Access

Chen-Yang Shou,

Ye Tian, Bin Zhou

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(17), P. 10962 - 10962

Published: Sept. 2, 2022

The impact of rainfall on water quality may be more important in semi-arid regions, where is concentrated over a couple months. To explore the changes quality, e.g., nitrogen (TN) and phosphorous (TP), diversion from Luan River to Tianjin Watershed northern semi-humid area was selected as study area. TN TP concentrations rivers Yuqiao Reservoir during three-year high-flow season (2019–2021) were analyzed. response relationship influencing factors among watershed’s biogeochemical process, rainfall, clarified. results showed that high flow mainly controlled river flow. concentration inflow regulated by rainfall/flow, while has different variation characteristics period other periods. lowest annual observed normal year, highest wet indicating hydrological process drove nutrient transport watershed. For tributaries, Li catchment contributed large amount N P aquatic environment. reservoir, extreme same extremes decreased dry year which contrast tributaries. spatial reservoir following direction estuary outlet. Considering climate change, with increase North China future, fluxes watershed continue increase, leading phosphorus load downstream reservoir. ensure potential output area, it necessary strengthen effective prevention control non-point source pollution

Language: Английский

Citations

10

Planning of best management practices for watershed-scale pollution control: A simulation-based inexact fractional programming approach DOI
Shuping Wang,

Qian Tan,

Chunhui Li

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 617, P. 129063 - 129063

Published: Jan. 3, 2023

Language: Английский

Citations

5

Incorporating carbon sequestration into lake management: A potential perspective on climate change DOI

Yuqing Tian,

Yanhui Zhao,

Xiu Zhang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 895, P. 164939 - 164939

Published: June 20, 2023

Language: Английский

Citations

5

Remote sensing-based spatiotemporal variation and driving factor assessment of chlorophyll-a concentrations in China’s Pearl River Estuary DOI Creative Commons
Wenjie Fan,

Zhihao Xu,

Qian Dong

et al.

Frontiers in Marine Science, Journal Year: 2023, Volume and Issue: 10

Published: Aug. 10, 2023

Climate change and intensive anthropogenic activities have severely challenged the water quality of China’s Pearl River Estuary (PRE). Further investigations into long-term variation associated driving mechanisms are therefore necessary to support sustainable development PRE’s Greater Bay Area (GBA). This study used remote sensing retrieval address spatiotemporal chlorophyll- a (Chl- ) characteristics in PRE relationship between Chl -a concentrations socioeconomic/environmental indicators. Three decades Landsat satellite images measured data were collected, two-band global algorithm was retrieve Chl- concentration data. Results reveal significant variability concentrations. The space-averaged exhibited slight downward trend during past three decades, multi-year mean value 5.20 mg/L. Changes environmental protection policies recent years improved overall quality. western section had highest (i.e., 5.92 mg/L average) while eastern lowest 3.98 average). discrepancy likely caused by section’s more industrial activities, resulting higher wastewater discharge volume. Affected climatic conditions, winter evenly distributed summer significantly higher. Additionally, positively correlated with total phosphorus (TP), nitrogen (TN), ammonia (NH 3 -N), biotic oxygen demand (BOD 5 ). also external factors climate activities). Among these factors, proportion primary industries coastal cities is intended help direct improvement management urban GBA.

Language: Английский

Citations

5