A Machine Learning Approach to Predict Site Selection from the Perspective of Vitality Improvement DOI Creative Commons
Bin Zhao, Hao Zheng, Xuesong Cheng

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2113 - 2113

Published: Dec. 6, 2024

The selection of construction sites for Cultural and Museum Public Buildings (CMPBs) has a profound impact on their future operations development. To enhance site planning efficiency, we developed predictive model integrating Artificial Neural Networks (ANNs) Genetic Algorithms (GAs). Taking Shanghai as our case study, utilized over 1.5 million points interest data from Amap Visiting Vitality Values (VVVs) Dianping Shanghai’s administrative area map. We analyzed compiled 344 sites, each containing 39 infrastructure sets one visit vitality set the ANN input. was then tested with untrained to predict VVVs based input sets. conducted multi-precision analysis simulate various scenarios, assessing model’s applicability at different scales. Combining GA approach, predicted improvements. This method can significantly contribute early planning, design, development, operational management CMPBs in future.

Language: Английский

Optimizing Eco-Efficiency of green Infrastructure: A comparative study of woody plant species Utilizing SWMM-HYDRUS model and Analytic Hierarchy process DOI
Bei Zhang, Liang Zheng,

Lidong Zhao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113388 - 113388

Published: March 25, 2025

Language: Английский

Citations

0
Assessing carbon emission impacts of sponge city development: insights from runoff reduction analysis DOI Creative Commons
Wei Liu, Jun Chen, Haotian Li

et al.

Water Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

This study aimed to quantify the impact of sponge city facilities on both runoff reduction and carbon emission mitigation, providing valuable insights for sustainable urban development. Using Storm Water Management Model (SWMM) 5.2 in conjunction with factor calculations, we comparatively evaluated annual abatement potential traditional drainage systems versus those incorporating facilities. Our results showed that implementation resulted a substantial decrease volume (100,840 m3), corresponding emissions (7,089.85 kg CO2 eq) compared pre-renovation conditions. Additionally, this work assessed five facilities: green roofs, permeable pavements, sunken spaces, rain gardens, overflow storage ponds. Among these, ponds demonstrated highest efficiency (35,879 m3) mitigation (2,522.57 eq). Rain gardens second-best performance, while spaces had least impact. provides novel technical framework quantifying evaluating systems. findings offer reliable data support planners policymakers, contributing evidence-based decision-making design projects.

Language: Английский

Citations

0
Exploring Rangeland Dynamics in Punjab, Pakistan: Integrating LULC, LST, and Remote Sensing for Ecosystem Analysis (2000–2020) DOI
Feng Li, Iram Naz, Abdul Quddoos

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

3
Assessing climate change threats and urbanization impacts on surface runoff in Gdańsk (Poland): insights from remote sensing, machine learning and hydrological modeling DOI Creative Commons
Khansa Gulshad, Michał Szydłowski, Andam Mustafa

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: 38(12), P. 4825 - 4842

Published: Nov. 13, 2024

Abstract This study investigates the impacts of Land Use/Land Cover (LULC) changes and climate change on surface runoff in Gdańsk, Poland, which is crucial for local LULC planning urban flood risk management. The analysis employs two primary methodologies: remote sensing hydrological modeling. Remote was conducted using Google Earth Engine Change Modeler IDRISI Terrset software to analyze historical (1985–2022) future (2050–2100) LULC. Hydrological modeling performed Natural Resources Conservation Service curve number method assess overall impact Gdańsk’s hydrology at scale. Orunia basin, a critical area due intensive development, selected detailed Hydrologic Modeling System (HEC-HMS). encompassed three scenarios: changes, change, combined effects. revealed marked increase area, shift forest vegetation cover, reduction agricultural land. HEC-HMS simulations showed an coefficient across decades, attributed effect change. projected increases under Representative Concentration Pathway (RCP) 4.5 RCP 8.5 scenarios 2050 2100 are surpass those observed during baseline period. findings highlight that synergistic effects have more significant both basin scales than their separate These insights into shifts responses hold implications sustainable effective management Gdańsk similar settings.

Language: Английский

Citations

3
Sustainability assessment of low-impact development methods for urban stormwater management: A multi-criteria decision-making approach DOI

Paria Taheri,

Mohammad Reza Alavi Moghaddam, Farzad Piadeh

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106025 - 106025

Published: Dec. 1, 2024

Language: Английский

Citations

3
Loess-loaded silica gel materials for stormwater management facilities: Hydrology and water quality DOI
Jiajia Zhou, Jiaqing Xiong,

Tuanping Hu

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 352, P. 127949 - 127949

Published: May 29, 2024

Language: Английский

Citations

2
Assessing the Cost of Hospital Building Materials: Effects of Temperature-Precipitation-Flood Dynamics on Landuse and Landcover DOI

You Min,

Sheng Chen,

Muhammad Rizwan Quddusi

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: 99, P. 1 - 17

Published: Dec. 31, 2024

Language: Английский

Citations

2
Enhancing the SWAT model for creating efficient rainwater harvesting and reuse strategies to improve water resources management DOI
Siyu Li, Yaoze Liu, Younggu Her

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121829 - 121829

Published: July 16, 2024

Language: Английский

Citations

1
Runoff Control Performance of Three Typical Low-Impact Development Facilities: A Case Study of a Community in Beijing DOI Open Access

Jiayi Xiao,

Zhiwei Zhou, Zhiyu Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2373 - 2373

Published: Aug. 23, 2024

The development of sponge cities advocates for sustainable urban rainwater management, effectively alleviating flood disasters, reducing non-point-source pollution, and promoting the recycling resources. Low-Impact Development (LID) serves as a key strategy in this context, providing essential support control pollution reduction. To investigate runoff effects LID measures to reveal relationship between facility performance installation scale, study focuses on community Beijing. A SWMM model was constructed analyze pollutant load reduction different facilities, including bio-retention cells, green roofs, permeable pavements. Using evaluation indicators such surface runoff, node overflow, rates, examined how varies with scale under rainfall conditions. combination scheme equipment optimal configuration is designed by using multiple criteria decision analysis (MCDA) cost–benefit theory. results indicate significant differences among various facilities across scenarios. Specifically, proportion overflow pavements were found be 30% 70%. Green roofs demonstrate superior handling extreme events, while cells exhibit effectiveness controlling Total Suspended Solids (TSSs). Through comprehensive evaluation, identified 3-year recurrence interval pavements, 20% roof, 60% cells. This leverages strengths each facility, ensuring system stability efficiency also demonstrating management analyses. findings research provide valuable insights future water infrastructure development.

Language: Английский

Citations

0
A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios DOI Creative Commons
Zixiang Xu,

Jiaqing Cheng,

Haishun Xu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1932 - 1932

Published: Nov. 16, 2024

Stormwater resource utilization is an important function of coupled grey–green infrastructure (CGGI) that has received little research focus, especially in multi-objective optimization studies. Given the complex water problems areas with contamination-induced shortages, it to incorporate more objectives into systems. Therefore, this study integrated economic performance, hydrological recovery, quality protection, and stormwater framework based on non-dominant sorting genetic algorithm III (NSGA-III). A sponge city pilot area shortages Yangtze River Delta was considered, optimizing four under different future multi-dimensional scenarios. The results showed a time series scenarios composed shared socioeconomic pathways representative concentration (SSP-RCP scenarios) which, together, affected climate change benefits CGGI. In near middle periods, SSP126 scenario had greatest influence management, whereas, far period, SSP585 influence. period three SSP-RCP Under combined series, SSP585-F impact. Specific costs could be used achieve no stormwater-resource effects through configurations This provided various construction ideas regarding CGGIs for shortages.

Language: Английский

Citations

0