Diel and seasonal mixing patterns and water quality dynamics in a multipurpose tropical semiarid reservoir DOI Creative Commons
Maria Aparecida Melo Rocha, Mário Ubirajara Gonçalves Barros, Francisco de Assis de Souza Filho

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 19, 2023

Abstract Eutrophication has become a recurrent concern in reservoirs worldwide. This problem is intensified tropical semiarid regions, where the have high seasonal and annual variability of water level volume. Therefore, an extensive understanding diel variation quality key-parameters can help improve management such reservoirs. study focuses on Castanhão reservoir, largest multipurpose dam Brazilian semiarid. Its main uses are irrigation, fish farming, human supply. The reservoir faced decline due to prolonged drought period. While previous research predominantly emphasized dynamics thermal chemical stratification, our investigation provides assessments multiple parameters, including nutrient concentrations phytoplankton abundance. Our primary objective compare variations stratification distribution within reservoir. Key findings reveal cycle primarily during dry season, driven by higher wind speeds. corroborated significant negative correlation between speed relative column stability index. In contrast, rainy experiences continuous inflowing being warmer than reservoir’s temperature. Notably, total phosphorus chlorophyll-a, along with two-fold increase this throughout day underscores influence community variation. Chemical dissolved oxygen occurred seasons, indicating that even there no inflow, internal loading also significantly impact advances reservoirs, shedding light both climatic anthropogenic influences resources.

Language: Английский

Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis DOI

Shabnam Majnooni,

Mahmood Fooladi, Mohammad Reza Nikoo

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 60, P. 105187 - 105187

Published: April 1, 2024

Language: Английский

Citations

12
Impact of Nutrient Dynamics on Chlorophyll-a Concentrations in Non-Interconnected Lakes: A Study in the Vellore and Chennai Region DOI Creative Commons

Mageswaran Raghul,

P. Porchelvan

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104315 - 104315

Published: Feb. 1, 2025

Language: Английский

Citations

1
Understanding the Water Quality Dynamics in a Large Tropical Reservoir Under Hydrological Drought Conditions DOI
Maria Aparecida Melo Rocha, Mário Ubirajara Gonçalves Barros, Alexandre Cunha Costa

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(1)

Published: Jan. 1, 2024

Language: Английский

Citations

8
Evaluation of surface water quality in Brahmani River Basin, Odisha (India), for drinking purposes using GIS-based WQIs, multivariate statistical techniques and semi-variogram models DOI
Abhijeet Das

Innovative Infrastructure Solutions, Journal Year: 2024, Volume and Issue: 9(12)

Published: Nov. 23, 2024

Language: Английский

Citations

7
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing Data and Six Machine Learning Methods DOI Creative Commons
Victor Oliveira Santos, Bruna Monallize Duarte Moura Guimarães, Iran Eduardo Lima Neto

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1870 - 1870

Published: May 24, 2024

It is crucial to monitor algal blooms in freshwater reservoirs through an examination of chlorophyll-a (Chla) concentrations, as they indicate the trophic condition these waterbodies. Traditional monitoring methods, however, are expensive and time-consuming. Addressing this hindrance, we conducted a comprehensive investigation using several machine learning models for Chla modeling. To end, used situ collected water sample data remote sensing from Sentinel-2 satellite, including spectral bands indices, large-scale coverage. This approach allowed us conduct analysis characterization concentrations across 149 Ceará, semi-arid region Brazil. The implemented included k-nearest neighbors, random forest, extreme gradient boosting, least absolute shrinkage, group method handling (GMDH); particular, GMDH has not been previously explored context. forward stepwise was determine best subset input parameters. Using 70/30 split training testing datasets, best-performing model model, achieving R2 0.91, MAPE 102.34%, RMSE 20.4 μg/L, which were values consistent with ones found literature. Nevertheless, predicted concentration most sensitive red, green, near-infrared bands.

Language: Английский

Citations

6
Enhanced remote sensing and deep learning aided water quality detection in the Ganges River, India supporting monitoring of aquatic environments DOI Creative Commons

Lavanya Kandasamy,

Anand Mahendran,

Sai Harsha Varma Sangaraju

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103604 - 103604

Published: Dec. 1, 2024

Language: Английский

Citations

5
Chlorophyll-a Estimation in 149 Tropical Semi-Arid Reservoirs Using Remote Sensing and Machine Learning DOI Open Access
Victor Oliveira Santos, Bruna Monallize Duarte Moura Guimarães, Iran Eduardo Lima Neto

et al.

Published: Feb. 20, 2024

Eutrophication, a global concern, impacts water quality, ecosystems, and human health. It’s crucial to monitor algal blooms in freshwater reservoirs, as they indicate the trophic condition of waterbody through Chlorophyll-a (Chla) concentration. Traditional monitoring methods, however, are expen-sive time-consuming. Addressing this hindrance, we developed models using remotely sensed data from Sentinel-2 satellite for large-scale coverage, including its bands spectral indexes, estimate Chla concentration on 149 reservoirs Ceará, Brazil. Several machine learning were trained tested, k-nearest neighbours, random forests, extreme gradient boosting, least absolute shrinkage, group method handling (GMDH), sup-port vector models. A stepwise approach determined best subset input parameters. Using 70/30 split training testing datasets, best-performing model was GMDH, achieving an R2 0.91, MAPE 102.34%, RMSE 20.38 g/L, which values consistent with ones found literature. Nevertheless, predicted most sensitive red, green, near infra-red bands.

Language: Английский

Citations

4
Water environmental capacity analysis and eutrophication assessment of water-supplied reservoirs DOI Creative Commons
Chen Peng,

Guoping Ye,

Xianqiang Xu

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 317, P. 100200 - 100200

Published: Jan. 1, 2024

The protection of water quality in reservoirs, particularly those designated for supply, has garnered increasing attention environmental management purposes. In this paper, the Shuangxikou Reservoir Yuyao was chosen as a case study. pollutant load at various points within reservoir analyzed and its eutrophication level evaluated through combination site surveys regular monitoring. Additionally, model trial algorithm utilized to investigate environment capacity concerning key indicators such COD, NH3-N, TN, TP Reservoir. results indicated that nutrient fell mid-trophic range, with being superior central region compared other areas. However, when target Class II surface mandated by functional zoning, current TN content exceeds acceptable levels. Consequently, targeted measures are imperative enhance reservoir.

Language: Английский

Citations

4
Diel and seasonal mixing patterns and water quality dynamics in a multipurpose tropical semiarid reservoir DOI
Maria Aparecida Melo Rocha, Mário Ubirajara Gonçalves Barros, Francisco de Assis de Souza Filho

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(30), P. 43309 - 43322

Published: June 20, 2024

Language: Английский

Citations

3
Will extreme drought impact the reservoir water quality? A 30-year observational study DOI Creative Commons
Yu-I Lin, Shu-Yuan Pan,

Hui-Hsien Chang

et al.

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 289, P. 108574 - 108574

Published: Oct. 28, 2023

Climate change affects the security of global water supply. However, only a few studies on effects drought quality in Asia have been published. In 2021, Taiwan faced its most severe crisis past 56 years. The Te-Chi reservoir, situated at an elevation exceeding 1420 m, stands out as significantly affected by hydrologic variability. Overcoming geographical challenges, we captured exceptional climatic period to sample and analyze quality. Subsequently, investigated multivariate long-term data incorporating climate hydrological information evaluate effect reservoir. results showed annual average temperature had risen about 1.4 °C while total rainfall declined over 18 30-year from 1993 2022 was analyzed examined change. There observed upward trend electrical conductivity reservoir water. concentration dissolved oxygen decreasing trend, which may be attributed increase due Besides, level dropped during drought, found that phosphorus, nitrogen tended increase, transparency decreased. Consequently, further explored potential pollution sources extreme statistical methods, such Pearson's correlations, principal component analysis, factor analysis. We four varimax rotated components collectively explain 82% variation with level, signifying their representativeness interpreting monitoring data. also assessed contribution each specific parameters, can aid better management resources challenging conditions. conclusion, this study provides evidence raises awareness multiple parameters. are weather, is predicted occur more frequently future thus could affect energy scarcity, public health food safety for sustainable operation. underscores adaptive management, mitigation strategies research direction.

Language: Английский

Citations

7