Investigating the relationship between land use and water quality in urban waterbodies

Cleaner Water, Год журнала: 2025, Номер unknown, С. 100070 - 100070

Опубликована: Фев. 1, 2025

Язык: Английский

---

The role of optimizers in developing data-driven model for predicting lake water quality incorporating advanced water quality model

Alexandria Engineering Journal, Год журнала: 2025, Номер 122, С. 411 - 435

Опубликована: Март 18, 2025

Язык: Английский

---

Resilience Assessment Method of Urban Flooding Prevention and Control System (FPC) Based on Attribute Resilience (AR) and Functional Resilience (FR)

Water, Год журнала: 2025, Номер 17(7), С. 964 - 964

Опубликована: Март 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.

Язык: Английский

---

Evaluation of the Impact of Selected Financial Indicators on Foreign Direct Investment in Bangladesh: A Nonlinear Modeling Approach

The Scientific World JOURNAL, Год журнала: 2025, Номер 2025(1)

Опубликована: Янв. 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

Язык: Английский

---

High-frequency data significantly enhances the prediction ability of point and interval estimation

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 169289 - 169289

Опубликована: Дек. 21, 2023

Язык: Английский

---