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

Extreme Weather Events and their Socioeconomic Impacts: A Remote Sensing-Based Analysis of Flood Damages DOI Creative Commons
Zeeshan Zafar, Muhammad Zubair, Shah Fahd

et al.

Global and earth surface processes change., Journal Year: 2024, Volume and Issue: 1, P. 100001 - 100001

Published: June 1, 2024

Language: Английский

Citations

4
A long-period assessment of climate change impact on river water quality in the central region of Iran DOI
Malihe Moazeni,

Masoud Sayedipour,

Kun‐Yi Andrew Lin

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Language: Английский

Citations

0
Multiscale Nonlinear Response of Extreme Meteorological–Hydrothermal Events in the Upper Reaches of the Yangtze River DOI Open Access
Long Yu, Wenxian Guo, Huan Yang

et al.

Ecohydrology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT Under the backdrop of climate warming, outbreak short‐term extreme heat events can easily lead to irreversible changes in aquatic ecosystems. Delving into their intrinsic driving mechanisms and nonlinear characteristics is key preventing natural disasters. This study, focusing on upper Yangtze River as research area, constructs a joint copula function model analyze occurrence probability return period meteorological events. Through bivariate cross–wavelet transform method, study explores multiscale dynamic response relationships phase meteorological–hydrothermal River. Furthermore, multifractal responses for was established. The results indicate that high‐heat tend occur more frequently severely, with duration–kurtosis likely coincide within 2‐year period, well high‐intensity low‐frequency duration–severity occurring simultaneously. Overall, before 2005, high‐hydrothermal exhibited lagging behind changes, which then shifted from lag lead. three scenarios change, exhibit clear relationship. Apart duration, severity kurtosis all show significant relationships.

Language: Английский

Citations

0
Multi-Scale Analysis Based on Wavelet Transform of Reservoir and River Total Phosphorus Correlation and Determination of Monitoring Time Scales DOI Open Access
Zewen Liu,

Jihong Xia,

Mengshi Li

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 712 - 712

Published: Feb. 28, 2025

Total phosphorus (TP) dynamics between reservoirs and inflowing rivers critically affect eutrophication risks, but their multi-scale interactions remain insufficiently quantified. This study applied wavelet transform analysis to 8-year TP time series data from the Shanxi Reservoir its rivers. Key findings include following: (1) Morlet decomposition revealed dominant 8–16-month cycles for reservoir TP, contrasting with 4–8-month in river TP; (2) coherence identified a 90° phase lag (2–4 months delay) at scale; (3) time–frequency localization capability quantified rapid responses—reservoir reacted within 2 abrupt increases, showing stronger intensity. Multi-resolution further distinguished driving mechanisms: interannual (>12 months) governed variations, while seasonal (<8 controlled fluctuations. The demonstrated analysis’ dual strengths: resolving scale-specific through quantifying transient responses via metrics. shift exposes hysteresis transport, 2-month response threshold defines critical intervention timing. An adaptive monitoring framework is proposed as follows: ≤8-month sampling under stable conditions intervals during surges, providing decision tool precise water quality management.

Language: Английский

Citations

0
Long-term water quality dynamics and influencing factors under ecological compensation mechanisms: A case study of China's first cross-provincial ecological compensation watershed DOI

Haitao Chen,

Chengcheng Wang,

Zhifeng Lv

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 125142 - 125142

Published: March 31, 2025

Language: Английский

Citations

0
Impacts of meteorological conditions on water quality: Case study of Dalian Port, China DOI

Jianqun Guo,

Zhonglian Jiang, Xiao Chu

et al.

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104164 - 104164

Published: March 1, 2025

Language: Английский

Citations

0
Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India DOI
Abhijeet Das

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102366 - 102366

Published: April 9, 2025

Language: Английский

Citations

0
Dynamic scheduling: influential and influenced factors and their interrelationships in the New Zealand construction industry DOI
Mahesh Babu Purushothaman, Daryl David Elenzano, Ali GhaffarianHoseini

et al.

Smart and Sustainable Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Purpose The research aims to investigate and analyse various complex interrelationships of positive negative factors that significantly impact dynamic scheduling (DS) in the New Zealand construction industry rank them for improved project outcomes. Design/methodology/approach study used a combination methods, including systematic literature review using PRISMA guidelines expert consultations. analysis included pairwise comparison (with steps within analytical hierarchy process) degree centrality calculation affecting DS industry. Findings For first time, this identifies five most prominent strategic operational-level interacting with others. study’s findings indicate poor planning, incomplete drawings specifications/project information, material unavailability/prefabricated product availability, inclement weather lack work permits are primary affect operationally. On other hand, cultural heritage diversity, climate change mitigation adaptation management have effect. Climate resource unavailability/instability among top negatively strategically. Poor planning is influential factor at operational level, six out degrees. At same availability specifications/incomplete information were influenced by three degrees each. diverse factor. Additionally, paper stands its clear distinction between 176 11 distinct categories, visual representation 61 formerly identified from SLR 14 previously unidentified interactions consultation Research limitations/implications centres around studying English language literature. Using specific databases such as Scopus, EBSCO Science Direct searching after 2017 may potentially narrow scope global viewpoints. We acknowledge there limitations terms consultation. Further studies should encompass non-English sources incorporate empirical approaches confirm detected correlations implications customised viewpoint or country. Practical This provides insights academics industries focusing on identifying operation-level DS. It aids managers professionals creating tailored baseline scheduling, risk assessment controls. also benefits policymakers seeking improve efficiency, sustainability dispute resolution through informed practices. factors' polarity, interrelationships, CLD ranking based DC add body knowledge. Originality/value Numerous literary works explored DS, each being analysed evaluations surveys. However, they not considered act conjunction others their interrelations significant impact. takes unique approach examining network (displayed causal loop diagram) these factors. originality categorisation paper’s novelty lies rankings since often together instead isolation.

Language: Английский

Citations

0
Measuring and optimizing pathways for regional economic and low-carbon coordination effects: A case study of the Yangtze River Economic Belt DOI
Lu Chen, Jingyi Zhao, Junbo Wang

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 59, P. 101725 - 101725

Published: April 14, 2025

Language: Английский

Citations

0
Assessment of the Spatiotemporal Impact of Water Conservation on the Qinghai–Tibet Plateau DOI Creative Commons
Xin Wen, Huaiyong Shao, Ying‐Ping Wang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(12), P. 3175 - 3175

Published: June 19, 2023

The Qinghai–Tibet Plateau is a proven essential water conservation region in Asia. However, various factors, such as anthropogenic activities, climate, and vegetation significantly affect its conservation. Along these lines, deep understanding of the spatiotemporal patterns for this plateau relevant influencing elements considered great importance. This paper calculates on based InVEST model, given that evapotranspiration data are an important parameter study selects mainstream to compare accuracy simulated yield, also most accurate remote sensing examined carry out Plateau. Due large area types climate ecological zones, analyzes spatial temporal variations each zone division detects factors affecting by using geo-detector method. From our analysis, following outcomes proven: Plateau, (1) overall decreased from southeast northwest; (2) studied 1990, 2000, 2010, 2020 was 656.56, 590.85, 597.4, 651.85 mm, respectively; (3) precipitation, evapotranspiration, NDVI exhibited positive relationship with conservation; (4) precipitation factor had biggest impact distinctions resource governance; (5) above combined slope interaction improve Our work provides valuable insights further implementation projects view enhancing management methods.

Language: Английский

Citations

10