Cited by Spatial-Temporal Graph Fusion Transformer for Long-term Water Quality Prediction

Spring Meteorological Drought over East Asia and Its Associations with Large-Scale Climate Variations DOI

Meng Gao, Ruijun Ge, Yueqi Wang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1508 - 1508

Published: May 24, 2024

East Asia is a region that highly vulnerable to drought disasters during the spring season, as this period critical for planting, germinating, and growing staple crops such wheat, maize, rice. The climate in significantly influenced by three large-scale variations: Pacific Decadal Oscillation (PDO), El Niño–Southern (ENSO), Indian Ocean Dipole (IOD) Oceans. In study, meteorological was quantified using standardized precipitation evapotranspiration index (SPEI) March, April, May. Initially, coupled networks were established two variables: sea surface temperature (SST) SPEI. directed links from SST SPEI determined based on Granger causality test. These revealed associations between variations droughts, indicating semi-arid areas are more sensitive these variations. spring, PDO ENSO do not cause extreme wetness or dryness Asia, whereas IOD does. remote impacts of can be partially explained atmospheric circulations, where combined effects air temperatures, winds, pressure fields determine wet/dry conditions Asia.

Language: Английский

Citations

Research on the Index Calculation Method for the Impact of Drought on Water Quality in the Nakdong River, Korea DOI

Bu Geon Jo,

Jaeyeon Lim,

Joo‐Heon Lee

et al.

Hydrology, Journal Year: 2024, Volume and Issue: 11(11), P. 190 - 190

Published: Nov. 10, 2024

The impact of drought is intensifying due to climate change, leading significant environmental consequences, particularly concerning river water quality. While typically classified as meteorological or hydrological, studies assessing its impacts remain limited. Drought-induced hydrological alterations in rivers often degrade quality, necessitating the development an index. This study introduces a novel methodology for calculating index evaluate effects on specifically applied tributaries Nakdong River South Korea. was constructed by reviewing existing quality and indices, selecting relevant parameters, weighting each factor following National Sanitation Foundation Water Quality Index (NSFWQI) methodology. Factors integrated into encompass both indicators, with priority given variables measurable real time. Real-time parameters—such flow rate, cumulative precipitation, days without rainfall, sensor-based metrics (pH, electrical conductivity [EC], dissolved oxygen [DO], total organic carbon [TOC])—were incorporated. Additionally, upstream dams, dam discharge data were included reflect influence conditions. applicability calculated assessed comparing values observed data. A class interval structure implemented enhance index’s usability across diverse riverine Furthermore, utility validated it basin’s target thereby sensitivity drought-induced deterioration. proposed this enables proactive real-time monitoring under When 10 River, demonstrated clear correlation between conditions provides practical tool management, facilitating early response strategies mitigate associated drought.

Language: Английский

Citations

Extreme drought-heatwave exacerbates water quality deterioration in China DOI

Jie Jiang,

Zhaoli Wang,

Zhenxing Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 113008 - 113008

Published: Dec. 19, 2024

Language: Английский

Citations

Quantitative assessment of vegetation drought vulnerability based on multi-weighted averaging of multiple meteorological drought indices and vegetation indices DOI

Haeun Jung,

Jeongeun Won, Joo‐Heon Lee

et al.

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: June 18, 2024

Language: Английский

Citations

Assessment of Teleconnections of Extreme Precipitation with Large-Scale Climate Indices: A Case Study of the Zishui River Basin, China DOI

Yuqing Peng, Zengchuan Dong,

Tianyan Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11235 - 11235

Published: Dec. 21, 2024

With global climate change, the frequency of extreme precipitation events in Zishui River Basin (ZRB) is increasing, presenting significant challenges for water resource management. This study focuses on analyzing evolution trends during flood season from 1979 to 2018 and investigating their remote correlations with 18 large-scale indicators (LCIs) using three-dimensional (3D) Vine Copula. The results indicate a downward trend sustained wetness index (CWD) season, while other indices (EPIs) are not significant. Notably, correlation exists between Maximum Precipitation One Day (RX1day) Pacific Decadal Oscillation (PDO), North American pattern (PNO), Sustained Drought Index (CDD), as well Atlantic Multi-decadal (AMO) PDO. Excluding optimal marginal distribution PDO, which follows Laplace distribution, distributions conform Beta distribution. C-Vine Copula function was employed establish functional relationships among RX1day, PNO, CDD, AMO, allowing an analysis impact model fitting EPIs under different LCI scenarios. findings this ZRB inland monsoon zones, providing scientific foundation addressing extremes enhancing monitoring prediction capabilities region.

Language: Английский

Citations

A Copula-based spatiotemporal probabilistic model for heavy metal pollution incidents in drinking water sources DOI

Jing Liu, Xiaojuan Xu,

Yushun Qi

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 286, P. 117110 - 117110

Published: Oct. 15, 2024

Language: Английский

Citations

Spatial-Temporal Graph Fusion Transformer for Long-term Water Quality Prediction DOI

Ziqi Wang,

Xiangxi Wu,

Xingyang Chang

et al.

2022 4th International Conference on Industrial Artificial Intelligence (IAI), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: Aug. 21, 2024

Language: Английский

Citations