Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data DOI Open Access
Sansar Raj Meena, Akshansha Chauhan, Kushanav Bhuyan

et al.

Environmental Earth Sciences, Journal Year: 2021, Volume and Issue: 80(17)

Published: Aug. 23, 2021

Language: Английский

Prediction modelling framework comparative analysis of dissolved oxygen concentration variations using support vector regression coupled with multiple feature engineering and optimization methods: A case study in China DOI Creative Commons
Xizhi Nong, Laifei Cheng, Lihua Chen

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109845 - 109845

Published: Jan. 2, 2023

Dissolved oxygen (DO) is an essential indicator for assessing water quality and managing aquatic environments, but it still a challenging topic to accurately understand predict the spatiotemporal variation of DO concentrations under complex effects different environmental factors. In this study, practical prediction framework was proposed based on support vector regression (SVR) model coupling multiple intelligence techniques (i.e., four data denoising techniques, three feature selection rules, hyperparameter optimization methods). The holistic tested using matrix (17,532 observation in total) 12 indicators from vital monitoring stations longest inter-basin diversion project world Middle-Route South-to-North Water Diversion Project China), during year 2017 2020 period. results showed that we advocated could successfully concentration variations geographical locations. used "wavelet analysis–LASSO regression–random search–SVR" combination Waihuanhe station has best performance, with Root Mean Square Error (RMSE), (MSE), Absolute (MAE), coefficient determination (R2) values 0.251, 0.063, 0.190, 0.911, respectively. combined methods can significantly promote robustness accuracy provide new universal way investigating understanding drivers variations. For management department, comprehensive also identify reveal key parameters should be concerned monitored factors change. More studies terms potential integrated risk multi-indicators mega projects and/or similar bodies are required future.

Language: Английский

Citations

63

Impact of climate change on river water temperature and dissolved oxygen: Indian riverine thermal regimes DOI Creative Commons

M. Rajesh,

S. Rehana

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: June 2, 2022

Abstract The impact of climate change on the oxygen saturation content world’s surface waters is a significant topic for future water quality in warming environment. While increasing river temperatures (RWTs) with signals have been subject several recent research, how affects Dissolved Oxygen (DO) levels not intensively studied. This study examined direct effect rising RWTs saturated DO concentrations. For this, hybrid deep learning model using Long Short-Term Memory integrated k-nearest neighbor bootstrap resampling algorithm developed RWT prediction addressing sparse spatiotemporal data seven major polluted catchments India at monthly scale. summer increase Tunga-Bhadra, Sabarmati, Musi, Ganga, and Narmada basins are predicted as 3.1, 3.8, 5.8, 7.3, 7.8 °C, respectively, 2071–2100 ensemble NASA Earth Exchange Global Daily Downscaled Projections air temperature Representative Concentration Pathway 8.5 scenario. increases up to7 °C summer, reaching close to 35 decreases capacity by 2–12% 2071–2100. Overall, every 1 increase, there will be about 2.3% decrease level concentrations over Indian under signals.

Language: Английский

Citations

61

Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model DOI Creative Commons
Md Galal Uddin, Mir Talas Mahammad Diganta, Abdul Majed Sajib

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 336, P. 122456 - 122456

Published: Sept. 4, 2023

The COVID-19 pandemic has significantly impacted various aspects of life, including environmental conditions. Surface water quality (WQ) is one area affected by lockdowns imposed to control the virus's spread. Numerous recent studies have revealed considerable impact on surface WQ. In response, this research aimed assess in Ireland using an advanced WQ model. To achieve goal, six years monitoring data from 2017 2022 were collected for nine indicators Cork Harbour, Ireland, before, during, and after lockdowns. These include pH, temperature (TEMP), salinity (SAL), biological oxygen demand (BOD5), dissolved (DOX), transparency (TRAN), three nutrient enrichment indicators-dissolved inorganic nitrogen (DIN), molybdate reactive phosphorus (MRP), total oxidized (TON). results showed that lockdown had a significant indicators, particularly TEMP, TON, BOD5. Over study period, most within permissible limit except MRP, with exception during COVID-19. During pandemic, TON DIN decreased, while improved. contrast, COVID-19, at 7% sites deteriorated. Overall, Harbour was categorized as "good," "fair," "marginal" classes over period. Compared temporal variation, improved 17% period Harbour. However, no trend observed. Furthermore, analyzed model's performance assessing indicate model could be effective tool evaluating lockdowns' quality. can provide valuable information decision-making planning protect aquatic ecosystems.

Language: Английский

Citations

43

Land Use Land Cover (LULC) and Surface Water Quality Assessment in and around Selected Dams of Jharkhand using Water Quality Index (WQI) and Geographic Information System (GIS) DOI
Soumya Pandey, Neeta Kumari,

Shah Al Nawajish

et al.

Journal of the Geological Society of India, Journal Year: 2023, Volume and Issue: 99(2), P. 205 - 218

Published: Feb. 1, 2023

Language: Английский

Citations

25

Determination of water quality of Ganga River System in Himalayan region, referencing indexing techniques DOI
Gagan Matta, Amit Kumar,

Anjali Nayak

et al.

Arabian Journal of Geosciences, Journal Year: 2020, Volume and Issue: 13(19)

Published: Sept. 26, 2020

Language: Английский

Citations

55

Biochar-Supported TiO2-Based Nanocomposites for the Photocatalytic Degradation of Sulfamethoxazole in Water—A Review DOI Creative Commons
Subhash Chandra, Pravin Jagdale, Isha Medha

et al.

Toxics, Journal Year: 2021, Volume and Issue: 9(11), P. 313 - 313

Published: Nov. 18, 2021

Sulfamethoxazole (SMX) is a frequently used antibiotic for the treatment of urinary tract, respiratory, and intestinal infections as supplement in livestock or fishery farming to boost production. The release SMX into environment can lead development resistance among microbial community, which frequent clinical infections. removal from water usually done through advanced processes, such adsorption, photocatalytic oxidation, biodegradation. Among them, oxidation process using TiO

Language: Английский

Citations

48

Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi DOI Creative Commons

Edovia Dufatanye Umwali,

Alishir Kurban, Alain Isabwe

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Aug. 30, 2021

Abstract Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable management. This study aimed at assessing spatio-seasonal variation in relation use types Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used evaluate anthropogenically-induced changes. In addition Principal Components Analysis (PCA), a Cluster (CA) applied 12-clustered sampling sites and obtained NSF-WQI. Lastly, Partial Least Squares Path Modelling (PLS-PM) estimate nexus between LULC, parameters, results revealed poor status Mugorore Butimba rainy season, then Bwimiyange dry season. Furthermore, PCA displayed sample dispersion based seasonality while NSF-WQI’s CA hierarchy grouped samples corresponding LULC types. Finally, PLS-PM returned strong positive correlation (+ 0.831) LULCs parameters season but negative coefficient (− 0.542) with great influences cropland parameters. Overall, this concludes that lake seasonally influenced by anthropogenic activities, suggesting land-use management decisions, such as establishment safeguarding protection belts vicinity.

Language: Английский

Citations

47

Associations of anthropogenic activity and tributaries with the physicochemical, nutrient and microbial composition of the Ganga (Ganges) River, India DOI Creative Commons
Gillian Clayton, Laura A. Richards, Bethany Fox

et al.

Water Research, Journal Year: 2025, Volume and Issue: 278, P. 123374 - 123374

Published: Feb. 25, 2025

The Ganga River (known internationally as the Ganges) is one of world's most prominent rivers, running from Himalayas to Bay Bengal and supporting livelihoods > 40 % India's 1.4 billion population. regionally globally important, agriculture industry, yet faces potentially detrimental water quality challenges arising runoff discharge increasing urbanization, industry agriculture. A ∼ 2700 km longitudinal survey nutrient microbial quality, including phytoplankton composition, was undertaken in November 2019. aim investigate if how anthropogenic activities (e.g. urbanisation, agriculture) tributary convergence (potentially reflecting both human activity flow influences) affect shift physicochemical, nutrient, parameters along river continuum. Segmented regression identified four zones distinct nutrient/microbial characteristics River, with breakpoints located near Kanpur, Varanasi downstream Farakka Barage, at distances 1020, 1500 2350 Himalayan source. Population density, land use urban cover were associated selected parts catchment, elevated chemical concentrations likely agriculture, sewage inputs. Some areas Kanpur Varanasi), converging tributaries Yamuna Varuna) barrages Farakka) changes availability, activity/abundance modelled discharge, driving apparent relevant locations. Downstream shifts observed throughout This information can help prioritize locations for targeted monitoring and/or remediation interventions has illustrated an approach quantify impacts inputs on major systems, such River.

Language: Английский

Citations

1

Deciphering the genetic code of DNA methylation DOI
Mengchi Wang, Vu Ngo, Wei Wang

et al.

Briefings in Bioinformatics, Journal Year: 2020, Volume and Issue: 22(5)

Published: Dec. 22, 2020

Abstract DNA methylation plays crucial roles in many biological processes and abnormal patterns are often observed diseases. Recent studies have shed light on cis-acting elements that regulate locus-specific methylation, which involves transcription factors, histone modification secondary structures. In addition, several recent surveyed motifs suggest potential applications diagnosis prognosis. Here, we discuss the current foundation for genetic code regulates methylation. We review computational models predict with features insights revealed from these models. also provide an in-depth discussion how to leverage such knowledge clinical applications, particularly context of liquid biopsy early cancer treatment.

Language: Английский

Citations

49

Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging DOI
Francesco Calivá, Nikan K. Namiri, Maureen Dubreuil

et al.

Nature Reviews Rheumatology, Journal Year: 2021, Volume and Issue: 18(2), P. 112 - 121

Published: Nov. 30, 2021

Language: Английский

Citations

38