Support Vector Regression Models of Stormwater Quality for a Mixed Urban Land Use

Hydrology, Journal Year: 2023, Volume and Issue: 10(3), P. 66 - 66

Published: March 13, 2023

The present study is an attempt to model the stormwater quality of a stream located in Pune, India. city split up into twenty-three basins (named A W) by Pune Municipal Corporation. selected lies haphazardly expanded peri-urban G basin. basin has constructed drains which open this stream. runoff over regions picks non-point source pollutants are also added becomes more complex as misused dump trash materials, garbage and roadside litter, adds pollution. Experimental investigations include eleven distinct locations on naturally occurring Stormwater samples were collected for twenty-two storm events, monsoon season four years from 2018–2021, during after rainfall. physicochemical characteristics analyzed twelve water parameters, including pH, Conductivity, Turbidity, Total solids (TS), Suspended Solids (TSS), Dissolved (TDS), Bio-chemical Oxygen Demand (BOD5), Chemical (COD), (DO), Phosphate, Ammonia Nitrate. Water Quality Index (WQI) ranged 46.9 153.9 41.20 87.70 immediately rainfall, respectively. Principal Component Analysis was used extract most significant parameters. To understand non-linear relationship rainfall with pollutant Support Vector Regression (SVR) Radial Basis Kernel Function (RBF) developed. Machine powerful supervised algorithm that works best smaller datasets but ones help kernel tricks. accuracy evaluated based normalized root-mean-square error (NRMSE), coefficient determination (R2) ratio performance interquartile range (RPIQ). SVR depicted parameter TS NRMSE (0.17), R2 (0.82) RPIQ (2.91). unit increase or decrease coefficients displays weighted deviation values Non-linear models confirmed both antecedent dry days correlated conclusions drawn can provide effective information decision-makers employ appropriate treatment train approach varied control measures (SCM) be proposed treat mitigate This holistic serves stakeholder’s objectives manage efficiently. research further extended selecting multi-criteria decision-making tool adopt SCM its multiple potential combinations.

Language: Английский

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Integrating food provisioning ecosystem services and foodshed relocalisation targets with edible green infrastructure planning. A case study from Lisbon city region

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 96, P. 104643 - 104643

Published: May 11, 2023

Landscape changes and agricultural land take affect the spatial pattern of ecosystem services (ES) provision in city regions. The relevance these areas for Green Infrastructure has recently received increasing interest as sources local food supply functionally connecting urban rural areas. main objective this study is to propose an Edible (EGI) at landscape level, peri‑urban contexts, analyse system relocalisation Lisbon region. This paper examines cover flows (LCF), performs EGI mapping planning assesses provisioning ES supply, budgets, footprint, loss biocapacity due take. global budget achieved potential foodshed about 82% demand, with 68% footprint (FPF) located Infrastructure. period 2000–2018 per year equal area needed FPF 1.23% region's population. Results are use support integration into planning, adoption specific policies that aim develop region systems.

Language: Английский

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Prioritization of the key underlying sustainability indicators of urban green drainage infrastructure systems

Urban Water Journal, Journal Year: 2023, Volume and Issue: 20(9), P. 1196 - 1206

Published: Aug. 28, 2023

ABSTRACTAssessments of urban green drainage infrastructure (UGDI) have always been a headache in contemporary times which is roadblock to enticing investors. This study prioritized the underlying sustainability indicators UGDI systems Ghana. After an exhaustive literature review, some identified were compounded into semi-structured questionnaires. Sixty-two built environment professionals asked rate significance each indicator. A parametric test was used prioritize indicators. The results indicated that most significant were; 'Flood control', 'Compliance with sustainable development goals', 'multi-functionality', 'energy efficiency and GHG emissions' 'Initial Construction Cost'. To understand how performs regards flood pollution mitigation, specific geographical performance are required. under-explored area Ghanaian context. Hence, espoused this serve as starting point for appropriate frameworks aid implementation UGDI.KEYWORDS: Urbangreensustainabilitydrainageclimate change Disclosure statementNo potential conflict interest reported by author(s).Data availability statementThe Data supporting available upon request from Seidu, S

Language: Английский

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Urban Green Connectivity Assessment: A Comparative Study of Datasets in European Cities

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(5), P. 771 - 771

Published: Feb. 22, 2024

Urban biodiversity and ecosystem services depend on the quality, quantity, connectivity of urban green areas (UGAs), which are crucial for enhancing livability resilience. However, assessing these metrics in landscapes often suffers from outdated land cover classifications insufficient spatial resolution. Spectral data Earth Observation, though promising, remains underutilized analyzing UGAs’ connectivity. This study tests impact dataset choices assessment, comparing classification (Urban Atlas) spectral (Normalized Difference Vegetation Index, NDVI). Conducted seven European cities, analysis included 219 UGAs varying sizes levels, using three (size, proximity index, surrounding area) at different scales. The results showed substantial disparities metrics, especially finer scales shorter distances. These differences more pronounced cities with contiguous UGAs, where Atlas faces challenges related to typology issues minimum mapping units. Overall, provides a comprehensive standardized evaluation connectivity, reducing reliance local classifications. Consequently, we advocate integrating into advance research. integration offers framework guiding planning management practices.

Language: Английский

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Assessing Reliability, Resilience and Vulnerability of Water Supply from SuDS

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5391 - 5391

Published: June 25, 2024

In recent decades, the impacts of urbanization on hydrological cycle have led to an increase in frequency and magnitude urban flooding events, this is also amplified by effects climate change. Sustainable Drainage Systems (SuDS) provide a revolutionary change field, improving sustainability resilience cities. This research explores integration different SuDS with aim significantly reducing both flow volume celerity floods residual catchment area metropolitan city Querétaro (Mèxico), where extreme rainfall frequently occurs. representative suburb pressure environmental degradation problems. Currently, managing storm water under uncertainty through multi-disciplinary approach major concern area. A 1D–2D coupling model shallow equations, finite method, unstructured meshing hybrid parallel computing application defined optimal configuration at scale reduce flood vulnerability Querétaro. Specifically, paper, we explore management issues proposed that acts as resource system multiple purposes. generic simulation called MODSIM was applied simulate designed drainage balanced IPCC future scenario terms reliability, against scarcity. The hierarchical Reliability–Resilience–Vulnerability appears be effective evaluating performance, showing complete satisfaction non-essential uses can assured 65% rate reliability for large range reservoir storage conditions.

Language: Английский

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