Regulation of GeCu/Zn-SOD, GeMn-SOD, GeHsp90, and GeMT in Gymnocypris eckloni in Response to Copper and Lead Ion Challenges DOI Open Access
J. W. Zhao, Zixuan Li, Changzhong Li

et al.

Journal of Applied Ichthyology, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 13

Published: March 7, 2024

The contamination of aquatic environments by heavy metals can have detrimental effects on fish, impacting their growth and overall health, including the regulation antioxidant genes. An investigation was carried out to assess distribution habitat Gymnocypris eckloni in Yellow River basin. Simultaneously, metal concentrations its selected locations within upper were measured. In an effort explore potential roles specific genes responses, G. exposed low copper (Cu2+) lead (Pb2+) for varying durations (12, 24, 48 hours). mRNA levels GeCu/Zn-SOD, GeMn-SOD, GeHsp90, GeMT quantified gills, kidneys, liver through qRT-PCR. findings suggest that is generally safe; however, occasional exceedances safety standards could pose a threat growth. Importantly, expression exhibited responses copper-induced lead-induced stress. Notably, demonstrated heightened sensitivity compared copper. Furthermore, these displayed tissue-specific under identical stress conditions. These results indicate serve as early, sensitive biomarkers detection toxicity induced Cu2+ Pb2+. This study also provides valuable insights into functioning oxidative fish.

Language: Английский

Impacts of land uses on spatio-temporal variations of seasonal water quality in a regulated river basin, Huai River, China DOI
Lingqing Wang, Xiaoxiao Han, Yongyong Zhang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159584 - 159584

Published: Oct. 18, 2022

Language: Английский

Citations

55
An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China DOI
Chi Zhang, Xizhi Nong, Dongguo Shao

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 884, P. 163731 - 163731

Published: May 2, 2023

Language: Английский

Citations

23
Spatiotemporal comprehensive evaluation of water quality based on enhanced variable fuzzy set theory: A case study of a landfill in karst area DOI

Yu Yang,

Bo Li, Chaoyi Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141882 - 141882

Published: March 29, 2024

Language: Английский

Citations

10
Integrated machine learning-based optimization framework for surface water quality index comparing coastal and non-coastal cases of Guangxi, China DOI
Xizhi Nong,

Fankang He,

Lihua Chen

et al.

Marine Pollution Bulletin, Journal Year: 2025, Volume and Issue: 213, P. 117564 - 117564

Published: Feb. 3, 2025

Language: Английский

Citations

1
Principal Component Analysis and the Water Quality Index—A Powerful Tool for Surface Water Quality Assessment: A Case Study on Struma River Catchment, Bulgaria DOI Open Access

Ivan Benkov,

Marian Varbanov, Tony Venelinov

et al.

Water, Journal Year: 2023, Volume and Issue: 15(10), P. 1961 - 1961

Published: May 22, 2023

The water quality assessment of the surface bodies (SWBs) is one major tasks environmental authorities dealing with management. present study proposes a scheme for investigation waters’ physicochemical status changes and identification significant anthropogenic pressures. It designed to extract valuable knowledge from Water Frame Directive (WFD) mandatory monitoring datasets. based on Canadian Council Ministers Environment index (CCME-WQI), trend analysis estimated WQI values, Principal Component Analysis (PCA) using calculated excursions during determination values. combination abovementioned techniques preserves their benefits additionally provides important information management by revealing latent factors controlling quality, taking into account type SWB. results enable impact SWBs corresponding pressure, prioritization restoration measures, optimization conducted programs reflect proposed simple reliable flexible introducing additional indicators (hydrological, biological, specific pollutants, etc.), which could lead more comprehensive assessment.

Language: Английский

Citations

17
Effects of land use and slope on water quality at multi-spatial scales: a case study of the Weihe River Basin DOI
Zixuan Yan, Peng Li, Zhanbin Li

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(20), P. 57599 - 57616

Published: March 27, 2023

Language: Английский

Citations

15
Energy partitioning and controlling factors of evapotranspiration in an alpine meadow in the permafrost region of the Qinghai-Tibet Plateau DOI Creative Commons
Zhaoyong Hu, Genxu Wang, Xiangyang Sun

et al.

Journal of Plant Ecology, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 5, 2024

Abstract Energy partitioning and evapotranspiration (ET) of alpine meadows in permafrost areas are crucial for water cycle on the Qinghai-Tibet Plateau. However, seasonal (freeze–thaw cycle) variations energy ET their driving factors must be clarified. Therefore, 4-year fluxes [i.e. latent heat (LE) sensible (H)] were observed, bulk parameters surface conductance, decoupling coefficient (Ω), Priestley–Taylor (α)] estimated an meadow Mean daily LE (27.45 ± 23.89 W/m2) H (32.51 16.72 accounted 31.71% 50.14% available energy, respectively. More was allocated to during rainfall period, while 67.54 28.44% frozen period. half period seven times due low soil content vegetation coverage season. annual 347.34 8.39 mm/year, close mean precipitation. Low Ω (0.45 0.23) α (0.60 0.29) throughout year suggested that limited by availability. constrained because sufficient supply from precipitation In contrast, large differences between indicated supplied via lateral flow melting upstream glaciers snow transition The results suggest should considered when simulating regions.

Language: Английский

Citations

4
Developing a Novel Robust Model to Improve the Accuracy of River Ecosystem Health Assessment in the Qinghai–Tibet Plateau DOI Open Access
Yuan Xu, Yun Li, Xiaogang Wang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2041 - 2041

Published: Feb. 27, 2025

River ecosystem health assessment (REHA) is crucial for sustainable river management and water security. However, existing REHA methodologies still fail to consider the multiple effects of input uncertainty, environmental stochasticity, decision-maker’s bounded rationality. Moreover, studies primarily focused on plain areas, leaving Qinghai–Tibet Plateau (QTP) understudied despite its ecosystems’ heightened fragility complexity. To address these gaps, this study combined Pythagorean fuzzy sets with cloud modeling proposed (PFC) approach. Accordingly, a novel robust model (PFC-TODIM) was created by expanding conventional TODIM method PFC algorithm. We provided an indicator system tailored distinctive characteristics in QTP, leveraging multisource data. health, driving mechanisms, potential threats were investigated Lhasa (LR) using PFC-TODIM model. Results showed that effectively took uncertainties into consideration, thereby improving accuracy robustness. In LR, conditions demonstrated substantial spatial disparities. Sampling sites 28%, 48%, 24% subhealthy, healthy, excellent, respectively. Findings anthropogenic factors, such as dams, urban development, fish release adversely affect should be properly managed.

Language: Английский

Citations

0
A systematic review of multi-mode analytics for enhanced plant stress evaluation DOI Creative Commons

Abdolrahim Zandi,

Seyedali Hosseinirad, Hossein Kashani Zadeh

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: April 30, 2025

Introduction Detecting plant stress is a critical challenge in agriculture, where early intervention essential to enhance crop resilience and maximize yield. Conventional single-mode approaches often fail capture the complex interplay of health stressors. Methods This review integrates findings from recent advancements Multi-Mode Analytics (MMA), which employs spectral imaging, image-based phenotyping, adaptive computational techniques. It machine learning, data fusion, hyperspectral technologies improve analytical accuracy efficiency. Results MMA have shown substantial improvements reliability interventions. They outperform traditional methods by effectively capturing interactions among various abiotic Recent research highlights benefits enhancing predictive capabilities, facilitates development timely effective strategies boost agricultural productivity. Discussion The advantages over conventional techniques are significant, particularly detection management challenging environments. Integrating advanced supports precision agriculture enabling proactive responses conditions. These innovations pivotal for food security terrestrial space ensuring sustainability production systems.

Language: Английский

Citations

0
Operational parameter prediction of electrocoagulation system in a rural decentralized water treatment plant by interpretable machine learning model DOI
Bowen Li,

Chaojie Lu,

Jin Zhao

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 333, P. 117416 - 117416

Published: Feb. 7, 2023

Language: Английский

Citations

10