RDAU-Net: A U-Shaped Semantic Segmentation Network for Buildings near Rivers and Lakes Based on a Fusion Approach DOI Creative Commons
Yipeng Wang,

Dongmei Wang,

Teng Xu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 17(1), P. 2 - 2

Published: Dec. 24, 2024

The encroachment of buildings into the waters rivers and lakes can lead to increased safety hazards, but current semantic segmentation algorithms have difficulty accurately segmenting in such environments. specular reflection water boats with similar features environment greatly affect performance algorithm. Effectively eliminating their influence on model further improving accuracy near will be great help management river lake waters. To address above issues, present study proposes design a U-shaped network called RDAU-Net that works through extraction fuses convolutional neural transformer segment buildings. First, we designed residual dynamic short-cut down-sampling (RDSC) module minimize interference complex building shapes scale differences results; second, reduced resolution gaps between multi-scale using multi-channel cross fusion (MCCT); finally, double-feature channel-wise attention (DCF) was improve model’s ability depict edge details reduce model. Additionally, an HRI Building dataset constructed, comprising water-edge situated riverine lacustrine regulatory context. This encompasses plethora sample scenarios, offering comprehensive representation subject matter. experimental results indicated statistical metrics achieved by WHU datasets are better than those others, it effectively solve problems

Language: Английский

A Study on the water resource assets management audit for outgoing officials considering asset elements DOI
Shuqin Li,

Juqin Shen,

Fuhua Sun

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144931 - 144931

Published: Feb. 1, 2025

Language: Английский

Citations

2
A method to quantify the ecological benefits of river treatment projects with monetary values DOI
Yadong Zhang, Zongkun Li, Wei Ge

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124653 - 124653

Published: Feb. 24, 2025

Language: Английский

Citations

0
Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques DOI Open Access
Padala Raja Shekar, Aneesh Mathew,

Fahdah Falah Ben Hasher

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2124 - 2124

Published: March 1, 2025

Sub-watershed prioritization using morphometric analysis and multi-criteria decision-making (MCDM) techniques is a systematic approach to identifying ranking sub-watersheds based on their susceptibility soil erosion. This helps in implementing targeted conservation measures. In this study, the Narangi basin are prioritized by employing integrated with advanced MCDM techniques, including additive ratio assessment (ARAS), complicated proportional (COPRAS), multi-objective optimization (MOORA), technique for order preference similarity ideal solution (TOPSIS). Weights various methods determined criteria importance through an inter-criteria correlation (CRITIC: method), while geospatial ensure precise spatial analysis. The results provide unified of sub-watersheds, revealing that sub-watershed 3 (SW3) SW9 high-priority erosion category; SW1, SW2, SW5, SW8 medium-priority; SW4, SW6, SW7, SW10 low-priority. comprehensive sustainability-oriented equips decision-makers robust tools identify manage at risk erosion, ensuring long-term sustainability land water resources. study aligns sustainable development goal 15 (life land) promotes use practices combat degradation.

Language: Английский

Citations

0
A new framework for eco-compensation funds allocation in China based on multi-attribute decision-making method DOI

Chen Chi,

Juqin Shen,

Xin Huang

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107891 - 107891

Published: March 5, 2025

Language: Английский

Citations

0
Flood resource utilization of cascade hydropower stations along the Han River, China, based on a multi-scenario water level drawdown method DOI Creative Commons

Zhiqiang Jing,

Yimin Wang,

Jianxia Chang

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102292 - 102292

Published: March 7, 2025

Language: Английский

Citations

0
Comprehensive Assessment of Water Resource Carrying Capacity Based on Improved Matter–Element Extension Modeling DOI Open Access

Juqin Shen,

Yong Nie, Xin Huang

et al.

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1197 - 1197

Published: April 16, 2025

The evaluation of water resource carrying capacity (WRCC) is crucial for guiding regional management. This study established a WRCC index system and standards the middle lower Yangtze River, covering four subsystems: resources, social, economic, ecological dimensions. improved matter–element extension model by introducing triangular fuzzy numbers. enhanced was then used to assess seven provinces in (2015–2023). Furthermore, GIS examine spatiotemporal variations driving factors WRCC. main conclusions are as follows: (1) from 2015 2023, evaluated level River’s reaches remained stable overall. Among them, Shanghai rose most significantly, III I. Zhejiang’s at II, while Hubei Hunan III, but with trend toward improvement. Jiangsu’s fluctuated significantly. (2) values subsystems each region show certain volatility. subsystem relatively regions, social showed some variability, both economic developed well, showing positive effects development protection various regions. (3) had greatest influence on Per capita urbanization rate, greening coverage rate built-up areas, per GDP have significant impact reaches.

Language: Английский

Citations

0
Harnessing AHP and Fuzzy Scenarios for Resilient Flood Management in Arid Environments: Challenges and Pathways Toward Sustainability DOI Open Access
Mohammad Hossein Sayadi, Zeynab Karimzadeh Motlagh, Dominika Dąbrowska

et al.

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1276 - 1276

Published: April 25, 2025

Flash floods rank among the most devastating natural hazards, causing widespread socio-economic, environmental, and infrastructural damage globally. Hence, innovative management approaches are required to mitigate their increasing frequency intensity, driven by factors such as climate change urbanization. Accordingly, this study introduced an integrated flood assessment approach (IFAA) for sustainable of risks integrating analytical hierarchy process-weighted linear combination (AHP-WLC) fuzzy-ordered weighted averaging (FOWA) methods. The IFAA was applied in South Khorasan Province, Iran, arid flood-prone region. Fifteen controlling factors, including rainfall (RF), slope (SL), land use/land cover (LU/LC), distance rivers (DTR), were processed using collected data. AHP-WLC method classified region into susceptibility zones: very low (10.23%), (23.14%), moderate (29.61%), high (17.54%), (19.48%). FOWA technique ensured these findings introducing optimistic pessimistic fuzzy scenarios risk. extreme scenario indicated that 98.79% area highly sensitive flooding, while less than 5% deemed low-risk under conservative scenarios. Validation demonstrated its reliability, with achieving curve (AUC) 0.83 average accuracy ~75% across all Findings revealed elevated dangers densely populated industrialized areas, particularly northern southern regions, which influenced proximity rivers. Therefore, also addressed challenges linked development goals (SDGs), SDG 13 (climate action), proposing adaptive strategies meet 60% targets. This research can offer a scalable framework risk management, providing actionable insights hydrologically vulnerable regions worldwide.

Language: Английский

Citations

0
RDAU-Net: A U-Shaped Semantic Segmentation Network for Buildings near Rivers and Lakes Based on a Fusion Approach DOI Creative Commons
Yipeng Wang,

Dongmei Wang,

Teng Xu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 17(1), P. 2 - 2

Published: Dec. 24, 2024

The encroachment of buildings into the waters rivers and lakes can lead to increased safety hazards, but current semantic segmentation algorithms have difficulty accurately segmenting in such environments. specular reflection water boats with similar features environment greatly affect performance algorithm. Effectively eliminating their influence on model further improving accuracy near will be great help management river lake waters. To address above issues, present study proposes design a U-shaped network called RDAU-Net that works through extraction fuses convolutional neural transformer segment buildings. First, we designed residual dynamic short-cut down-sampling (RDSC) module minimize interference complex building shapes scale differences results; second, reduced resolution gaps between multi-scale using multi-channel cross fusion (MCCT); finally, double-feature channel-wise attention (DCF) was improve model’s ability depict edge details reduce model. Additionally, an HRI Building dataset constructed, comprising water-edge situated riverine lacustrine regulatory context. This encompasses plethora sample scenarios, offering comprehensive representation subject matter. experimental results indicated statistical metrics achieved by WHU datasets are better than those others, it effectively solve problems

Language: Английский

Citations

0