The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169289 - 169289
Published: Dec. 21, 2023
Language: Английский
Cleaner Water, Journal Year: 2025, Volume and Issue: unknown, P. 100070 - 100070
Published: Feb. 1, 2025
Language: Английский
Citations
0
Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 122, P. 411 - 435
Published: March 18, 2025
Language: Английский
Citations
0
Water, Journal Year: 2025, Volume and Issue: 17(7), P. 964 - 964
Published: March 26, 2025
Under the context of global climate change, floods are one major challenges facing urban development. Based on resilience theory, this study proposed an evaluation method to accurately assess flooding prevention and control systems (FPCs), integrating both attribute (AR) functional (FR). First, organized FPC attributes from perspective waterlogging generation elimination processes using foundational data area, it established a indicator system. The Entropy Weight Method (EWM) was applied calculate weights, Technique for Order Preference by Similarity Ideal Solution (TOPSIS) used values, ultimately deriving (AR). Subsequently, performance during actual operations evaluated scenario simulation based hydrodynamic model results, FR determined. Finally, spatial correlation analysis AR conducted identify areas with weak resilience. This developed that considers system central area Beijing as case flood results indicated most influential factors affecting green space percentage (GSP), average slope, drainage capacity (DC), their weights calculated 0.17, 0.137, 0.205, respectively. Among resistance, absorption, recovery, absorption had greatest influence, weight 0.447. Moran’s I indices were 0.66 0.49, respectively, indicating clustering, although clustering locations differed. There between FR, enabling more precise identification high low However, trends not entirely consistent across different types sub-districts due differences in methods influence various indicators.
Language: Английский
Citations
0
The Scientific World JOURNAL, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 1, 2025
Background: Foreign direct investment (FDI) is a steadfast contributor to capital flows and plays an indispensable role in driving economic advancement emerging as pivotal avenue for financing growth Bangladesh. Therefore, this study identifies the factors that influence FDI inflows Moreover, authors explored more appropriate model predicting by comparing efficacy of other models’ predictions. Methods: This based on secondary data over period 1973 2021 collected from publicly accessible website World Bank. A generalized additive (GAM) was implemented describing proper splines. The model’s performance assessed using modified R ‐squared, Bayesian information criterion (BIC), Akaike (AIC). Results: Findings depict significant nonlinear relationship between Bangladesh’s key indicators, including GDP, trade openness, external debt, gross formation, national income (GNI) government rates exchange, total reserves, natural resource rent. It also observed GAM ( 2 = 0.987, I C 608.03, B 658.28) outperforms multiple linear regressions polynomial regression FDI, emphasizing superiority capturing complex relationships improving predictive accuracy. Conclusion: along with covariates considered study. believed study’s findings would assist taking efficient initiatives management proactive indicator optimization empower resilience foster sustainable growth. analysis revealed its related risk follow pattern. recommends reliable method suggest can guide policymakers developing strategies increase inflows, stimulate growth, ensure development
Language: Английский
Citations
0
The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169289 - 169289
Published: Dec. 21, 2023
Language: Английский
Citations
10