Evaluation of the Hydrological Response of Nature-Based Solutions (NBS) in Socio-Economically Vulnerable Tropical Urban Settlements: A Case Study in La Guapil, Costa Rica, Under Climate Change Scenarios DOI Open Access
Valeria Serrano-Núñez, Karolina Villagra-Mendoza,

Natalia Gamboa-Alpízar

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 10794 - 10794

Опубликована: Дек. 10, 2024

Urbanization increases the number of impervious surfaces in watersheds, reducing infiltration and evapotranspiration, which runoff volumes risks flooding pollution water resources. Nature-based solutions (NBS) mitigate these effects by managing volume quality, restoring hydrological cycle, creating sustainable livelihoods that can promote socioeconomic equity providing green space. In light aforementioned information, this study analyzes response NBS La Guapil, a densely populated socioeconomically vulnerable area Costa Rica with approximately 80% surfaces, focusing on their effectiveness stormwater management improving conditions. Field data from area’s storm drainage system, as well analyses, were collected processed to evaluate RCP8.5 climate change scenarios using Clausius–Clapeyron (CC) relationship. Three proposed: (1) “status quo”, reflecting current conditions, (2) roofs improvements, (3) detention ponds evaluated SWMM, latter scenario also Iber model. Simulations showed Scenario 2 achieved greatest reduction peak flow (53.74%) (57.60%) compared 3 (peak: 28.37%; volume: 56.42%). Both demonstrate resilience projections. The results provide foundation for further research into other comparable regions.

Язык: Английский

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features DOI
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 358, С. 120756 - 120756

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

23
Projected urban flood risk assessment under climate change and urbanization based on an optimized multi-scale geographically weighted regression DOI
Feifei Han,

Jingshan Yu,

Guihuan Zhou

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105642 - 105642

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

16
Forecasting water quality variable using deep learning and weighted averaging ensemble models DOI
Mohammad Zamani, Mohammad Reza Nikoo, Sina Jahanshahi

и другие.

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(59), С. 124316 - 124340

Опубликована: Ноя. 24, 2023

Язык: Английский

Процитировано

23
Multi-objective optimization of green roof spatial layout in high-density urban areas—A case study of Xiamen Island, China DOI
Jing Dong, Ruonan Guo,

Meixia Lin

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 115, С. 105827 - 105827

Опубликована: Сен. 16, 2024

Язык: Английский

Процитировано

14
A critical review on optimization and implementation of green-grey infrastructures for sustainable urban stormwater management DOI Creative Commons
Husnain Tansar, Fei Li, Feifei Zheng

и другие.

AQUA - Water Infrastructure Ecosystems and Society, Год журнала: 2024, Номер 73(6), С. 1135 - 1150

Опубликована: Май 29, 2024

ABSTRACT Green-grey infrastructures' implementation has progressed significantly in cities around the globe for sustainable stormwater management. This review study conducted on green-grey optimization represented recent research trends, existing status, possible gaps, and future directions recommendations needed further improvements. The findings show that infrastructures got significant attention recently (after 2012) because of accessibility to computational resources development hydrological-hydraulic models algorithms. Furthermore, is mostly ten countries including China, USA Iran ranked first three places, respectively, delivering their advantages other with essential awareness knowledge. Most previous studies considered particular quantitative qualitative objectives these were at smaller retrofitting scales, therefore, need expand scope towards socio-ecological consideration larger areas or multi-stage planning, designing, implementation. Moreover, recommended consider stakeholders’ participation preliminary planning designing stages successful management approaches. Lastly, surrogate-based approaches instead traditional methods can overcome burden time future.

Язык: Английский

Процитировано

10
Can blue–green infrastructure counteract the effects of climate change on combined sewer overflows? Study of a swiss catchment DOI Creative Commons
Giovan Battista Cavadini, Mayra Rodríguez,

Trang Nguyen

и другие.

Environmental Research Letters, Год журнала: 2024, Номер 19(9), С. 094025 - 094025

Опубликована: Июль 17, 2024

Abstract Combined sewer overflows (CSOs), the discharge of untreated sewage mixed with stormwater into surface waters, are expected to increase under climate change as a result more extreme rainfall. Blue–green infrastructure (BGI), such bioretention cells and porous pavements, can help reduce amount entering combined systems, thus reducing CSO discharge. However, our understanding potential for BGI mitigate CSOs in future is still lacking, performance typically evaluated individual elements fixed implementation areas historical conditions or limited scenarios. In response, this study investigates 30 combinations rates prevent increases range scenarios an urban catchment near Zurich, Switzerland. Median total annual rainfall, projected by much 46%, could double median volume frequency up 52%. Four that include show most promise climate; given diverse responses distinct rainfall patterns, their enhance reduction across varying patterns. also likely become cost-effective climatic led larger reductions obtained through BGI. there trade-off between robustness cost-effectiveness, since capacity scales rate but cost-effectiveness declines. Our illustrates effectiveness various climate, calling be considered drainage adaptation.

Язык: Английский

Процитировано

6
Application of multi-criteria group decision-making for water quality management DOI
Amin Karbasi Ahvazi, Taghi Ebadi, Mahdi Zarghami

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(8)

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

5
Mapping reservoir water quality from Sentinel-2 satellite data based on a new approach of weighted averaging: Application of Bayesian maximum entropy DOI Creative Commons
Mohammad Reza Nikoo, Mohammad Zamani,

Mahshid Mohammad Zadeh

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 16, 2024

Abstract In regions like Oman, which are characterized by aridity, enhancing the water quality discharged from reservoirs poses considerable challenges. This predicament is notably pronounced at Wadi Dayqah Dam (WDD), where meeting demand for ample, superior downstream proves to be a formidable task. Thus, accurately estimating and mapping indicators (WQIs) paramount sustainable planning of inland in study area. Since traditional procedures collect data time-consuming, labor-intensive, costly, resources management has shifted gathering field measurement utilizing remote sensing (RS) data. WDD been threatened various driving forces recent years, such as contamination different sources, sedimentation, nutrient runoff, salinity intrusion, temperature fluctuations, microbial contamination. Therefore, this aimed retrieve map WQIs, namely dissolved oxygen (DO) chlorophyll-a (Chl-a) (WDD) reservoir Sentinel-2 (S2) satellite using new procedure weighted averaging, Bayesian Maximum Entropy-based Fusion (BMEF). To do so, outputs four Machine Learning (ML) algorithms, Multilayer Regression (MLR), Random Forest (RFR), Support Vector (SVRs), XGBoost, were combined approach together, considering uncertainty. Water samples 254 systematic plots obtained (T), electrical conductivity (EC), (Chl-a), pH, oxidation–reduction potential (ORP), WDD. The findings indicated that, throughout both training testing phases, BMEF model outperformed individual machine learning models. Considering Chl-a, WQI, R-squared, evaluation indices, MLR, SVR, RFR, XGBoost 6%, 9%, 2%, 7%, respectively. Furthermore, results significantly enhanced when best combination spectral bands was considered estimate specific WQIs instead all S2 input variables ML algorithms.

Язык: Английский

Процитировано

5
Simulation and Analysis of Water Quality Improvement Measures for Plain River Networks Based on Infoworks ICM Model: Case Study of Baoying County, China DOI Open Access

Qiande Zhu,

Kaibin Fang,

Dexun Zhu

и другие.

Water, Год журнала: 2024, Номер 16(18), С. 2698 - 2698

Опубликована: Сен. 23, 2024

The water environment of plain river networks can be self-cleaning to a certain extent, but if the wastewater load exceeds threshold, it disturb natural balance and cause pollution. This underlines importance pollution control measures. However, development measures requires large number hydrological hydrodynamic parameters establishment corresponding relationships through modelling. Therefore, this study mainly used Infoworks ICM model construct detailed hydrological–hydrodynamic analysis for Yundong area Baoying County, Yangzhou City, China, screened main source areas time periods typical rivers in area, proposed effective improvement according actual situation area. results show that after synergistic effect multiple measures, quality reach Class III standard (GB3838-2002). provide reference management network has good application prospects.

Язык: Английский

Процитировано

4
Temperature and Precipitation Change Assessment in the North of Iraq Using LARS-WG and CMIP6 Models DOI Open Access

Sura Mohammed Abdulsahib,

Salah L. Zubaidi,

Yousif S. Almamalachy

и другие.

Water, Год журнала: 2024, Номер 16(19), С. 2869 - 2869

Опубликована: Окт. 9, 2024

Investigating the spatial-temporal evolutionary trends of future temperature and precipitation considering various emission scenarios is crucial for developing effective responses to climate change. However, researchers in Iraq have not treated this issue under CMIP6 much detail. This research aims examine spatiotemporal characteristics rainfall northern by applying LARS-WG (8) general circulation models (GCMs). Five GCMs (ACCESS-ESM1-5, CNRM-CM6-1, MPI-ESM1-2-LR, HadGEM3-GC31-LL, MRI-ESM2-0) two emissions (SSP245 SSP585) were applied project upcoming variables period from 2021 2040. The relied on satellite data fifteen weather sites spread over 1985 2015 calibrate validate model. Analysis compared with baseline revealed that seasonal mean temperatures will increase throughout year both scenarios. SSP585 scenario reveals highest during autumn when spatial coverage class (15–20) °C increased 27.7 96.29%. At same time, average rise all seasons except scenario. increment percentage obtained using (120–140) mm winter. extent 25.49 50.19%.

Язык: Английский

Процитировано

4