Impacts of Spatial Expansion of Urban and Rural Construction on Typhoon-Directed Economic Losses: Should Land Use Data Be Included in the Assessment? DOI Creative Commons

Siyi Zhou,

Zikai Zhao,

Junzhe Hu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 924 - 924

Published: April 24, 2025

With the intensification of global climate change, frequent occurrence typhoon disaster events has become a great challenge to sustainable development cities around world; thus, it is significance carry out assessment typhoon-directed economic losses. Typhoon loss faces key challenges, including complex regional environments, scarce historical data, difficulties in multi-source heterogeneous data fusion, and challenges quantifying uncertainties. Meanwhile, existing studies often overlook relationship between spatial expansion urban rural construction (SEURC) losses, particularly their differential manifestations across different regions intensities. To address these issues, this study proposes CLPFT (Comprehensive Uncertainty Assessment Framework for Typhoon), an innovative framework integrating prototype learning uncertainty quantification through UProtoMLP neural network. Results demonstrate three findings: (1) By introducing learning, meta-learning approach, guide model updates, we achieved precise assessments with small training samples, attaining MAE 1.02, representing 58.5–76.1% error reduction compared conventional machine algorithms. This reveals that implicitly classifying types can significantly improve accuracy data-scarce scenarios. (2) designing dual-path mechanism, realized high-reliability risk assessment, 95.45% actual values falling within predicted confidence intervals (theoretical expectation: 95%). demonstrates mechanism provide statistically credible boundaries prevention decisions, enhancing practical utility results. (3) Further investigation controlling dynamic factors revealed significant heterogeneity SEURC directed Furthermore, found when intensity reaches critical value, shifts from negative positive correlation. indicates should consider interaction resilience intensity, providing important implications mitigation decisions. paper provides more comprehensive accurate method evaluating disaster-directed losses offers scientific reference determining influencing assessments.

Language: Английский

Predicting Rural Industrial Transformation via Coupling Coordination Between Polder-Based Spatial Features and Industrial Development DOI Creative Commons

Wenzhu Zhou,

Dawei Wang, Yiwen Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 914 - 914

Published: April 23, 2025

Rural areas are undergoing a transformation, shifting from traditional agriculture to green and leisure industries, driven by urban–rural imbalances environmental challenges. This transition, however, presents the growing conflicts between preserving spatial features promoting industrial development. Based on unique rural typology of polders, this study integrated theories cultural, landscape, ecological, economic, social perspectives construct conceptual framework interactive relationship (SFs) development (ID). Then, an evaluation index system was constructed measure current status SFs ID, using data field surveys, satellite imagery, 2020 yearbooks, with Gaochun Polder District, Nanjing (China), as case study. Next, coupling coordination degree (CCD) model scenario analysis based orthogonal design were applied assess coherence identify strategies for optimizing The results show that (1) ID in break-in basic stage, lagging behind SFs, (2) 25 scenarios generated through categorized into three groups: high-level synchronization two systems, but where lags SFs. To achieve synchronization, specific proposed enhance agricultural input–output benefits, improve scale–quality and, overall, protect SF while making minor adjustments village dwelling subsystem. Therefore, findings provide recommendations polder villages optimize their industries distinctive cultural landscape.

Language: Английский

Citations

0
Research on dynamic measurement and coupling coordination of traditional industrial transformation under the background of zero waste cities in China DOI Creative Commons
Xing Li,

Yang Tang,

Ruoyu Zhong

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

Language: Английский

Citations

0
Impacts of Spatial Expansion of Urban and Rural Construction on Typhoon-Directed Economic Losses: Should Land Use Data Be Included in the Assessment? DOI Creative Commons

Siyi Zhou,

Zikai Zhao,

Junzhe Hu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 924 - 924

Published: April 24, 2025

With the intensification of global climate change, frequent occurrence typhoon disaster events has become a great challenge to sustainable development cities around world; thus, it is significance carry out assessment typhoon-directed economic losses. Typhoon loss faces key challenges, including complex regional environments, scarce historical data, difficulties in multi-source heterogeneous data fusion, and challenges quantifying uncertainties. Meanwhile, existing studies often overlook relationship between spatial expansion urban rural construction (SEURC) losses, particularly their differential manifestations across different regions intensities. To address these issues, this study proposes CLPFT (Comprehensive Uncertainty Assessment Framework for Typhoon), an innovative framework integrating prototype learning uncertainty quantification through UProtoMLP neural network. Results demonstrate three findings: (1) By introducing learning, meta-learning approach, guide model updates, we achieved precise assessments with small training samples, attaining MAE 1.02, representing 58.5–76.1% error reduction compared conventional machine algorithms. This reveals that implicitly classifying types can significantly improve accuracy data-scarce scenarios. (2) designing dual-path mechanism, realized high-reliability risk assessment, 95.45% actual values falling within predicted confidence intervals (theoretical expectation: 95%). demonstrates mechanism provide statistically credible boundaries prevention decisions, enhancing practical utility results. (3) Further investigation controlling dynamic factors revealed significant heterogeneity SEURC directed Furthermore, found when intensity reaches critical value, shifts from negative positive correlation. indicates should consider interaction resilience intensity, providing important implications mitigation decisions. paper provides more comprehensive accurate method evaluating disaster-directed losses offers scientific reference determining influencing assessments.

Language: Английский

Citations

0