River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion DOI
Zhengxian Zhang, Xiaogang Wang, Li Yun

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 251, P. 124078 - 124078

Published: April 21, 2024

Language: Английский

Heterogeneity of urban‒rural responses to multigoal policy from an efficiency perspective: An empirical study in China DOI
Baishu Guo, Gui Jin

Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103341 - 103341

Published: Feb. 20, 2025

Language: Английский

Citations

0

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

Study on the susceptibility of geological disasters in loess tableland area of northern Shaanxi based on GIS and information quantity model DOI Creative Commons
Junwei Qiao,

Yi Jiang,

Feng Lv

et al.

All Earth, Journal Year: 2025, Volume and Issue: 37(1), P. 1 - 15

Published: March 11, 2025

Language: Английский

Citations

0

Spatiotemporal analysis and threshold modeling of rainfall-induced geological disasters in Anhui Province DOI Creative Commons
Bo Wang, Jie Liu,

Gaoping Liu

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 13

Published: April 17, 2025

Rainfall-induced geological disasters are widespread in the Jianghuai region of China, endangering human lives and socioeconomic activities. Anhui Province, a hotspot for these disasters, warrants thorough analysis temporal spatial distribution their correlation with rainfall effective forecasting warning. This study divides Province into Dabie Mountains, southern other areas based on different background conditions, establishes threshold warning models each. We reconstructed collection disaster precipitation records data from 2008 to 2023. Using binary logistic regression, we analyzed between factors selected optimal attenuation parameters area, determined critical levels. Results show: (1) Landslides collapses main types, mostly occurring high altitude like concentrated rainy season June - July each year; (2) Rainfall is inducer, both single heavy processes sustained influencing occurrence, through combined effect; (3) Effective significantly correlated day previous 8 days rainfall. The coefficients regions 0.60, 0.66, 0.61, respectively. shows that setting fine tuned better than province wide threshold. With 79% forecast accuracy, it can provide scientific basis meteorological risk Province.

Language: Английский

Citations

0

River ecosystem health assessment in the Qinghai-Tibet Plateau: A novel hybrid method based on artificial intelligence and multi-source data fusion DOI
Zhengxian Zhang, Xiaogang Wang, Li Yun

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 251, P. 124078 - 124078

Published: April 21, 2024

Language: Английский

Citations

3