Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

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Uncovering microbial drivers and regulatory edaphic factors for DNRA-nitrogen recovery under diverse rice agro-ecosystems

Plant and Soil, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

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CUGUV: A Benchmark Dataset for Promoting Large-Scale Urban Village Mapping with Deep Learning Models

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 6, 2025

Delineating the extent of urban villages (UVs) is crucial for effective planning and management, as well providing targeted policy financial support. Unlike field surveys, interpretation satellite imagery provides an efficient, near real-time, objective means mapping UV. However, current research efforts predominantly concentrate on individual cities, resulting in a scarcity interpretable UV maps numerous other cities. This gap availability not only hinders public awareness distribution evolution but also limits reliability transferability models due to insufficient number diversity samples. To address this issue, we developed CUGUV, benchmark dataset that includes diverse collection thousands samples, carefully curated from 15 major cities across various geographical regions China. The can be accessed through link: https://doi.org/10.6084/m9.figshare.26198093 . serve foundation evaluating improving robustness models. Subsequently, present innovative framework effectively integrates learns multiple data sources better cross-city task. Tests show proposed achieve over 92% overall accuracy, precision, F1-scores, outperforming state-of-the-art highlights effectiveness both model. presented model bolsters our capability understand accurately these complex phenomena, ultimately leading notable improvement performance large-scale mapping.

Language: Английский

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Evaluating the effects of future urban expansion on ecosystem services in the Yangtze River Delta urban agglomeration under the shared socioeconomic pathways

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111831 - 111831

Published: March 1, 2024

Assessing the effects of future urban expansion on ecosystem services (ESs) is essential for sustainability cities worldwide. Nonetheless, evaluating these ESs remains challenging due to uncertainties associated with socioeconomic development and intricate nature expansion. In this research, we initially integrated localized Shared Socioeconomic Pathways (SSPs) Land Use Scenario Dynamics-urban (LUSD-urban) model project Yangtze River Delta agglomeration (YRDUA). Subsequently, quantified impacts utilizing Integrated Valuation Tradeoffs (InVEST) model. The outcomes indicate that land in YRDUA projected expand by 1,020.19–12,282.04 km2 at a growth rate 3.71–44.67% from 2022 2050. Simultaneously, habitat quality (HQ), carbon storage (CS), water retention (WR), air purification (AP) are expected decline 0.34–4.24%, 0.48–5.82%, 0.39–4.75% 0.20–2.45%, correspondingly. Most importantly, primary cause ES losses conversion cropland land, accounting more than 90% total losses. results offer crucial contextual insights support synergistic policies urbanization ecological conservation under increased climate change.

Language: Английский

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A Novel GIS-SWMM-ABM Approach for Flood Risk Assessment in Data-Scarce Urban Drainage Systems

Water, Journal Year: 2024, Volume and Issue: 16(11), P. 1464 - 1464

Published: May 21, 2024

Urbanization and climate change pose a critical challenge to stormwater management, particularly in rapidly developing cities. These cities experience increasingly impervious surfaces more intense rainfall events. This study investigates the effectiveness of existing drainage system Lahore, Pakistan, megacity challenged by rapid urbanization impacts change. To address lack predefined storm patterns limited historical records, we employed well-established yet adaptable methodology. methodology utilizes log-Pearson type III (LPT-III) distribution alternating block method (ABM) create design hyetographs for various return periods. applied management model (SWMM) representative community 2.71 km2 assess its capacity. Additionally, geographic information systems (GISs) were used spatial analysis flood risk mapping identify flood-prone zones. The results indicate that current system, designed 2-year period, is inadequate. For example, produced total volume 0.07 million gallons, inundating approximately 60% area. identified zones highlighted limitations handling future, emphasizes urgent need infrastructure improvements handle increased runoff volumes such as integration low-impact development practices. nature-based solutions enhance infiltration, reduce runoff, improve water quality, offering sustainable approach mitigating risks. Importantly, this demonstrates integrating LPT-III ABM provides robust assessment. effective countries where data scarcity diverse may hinder traditional modeling techniques. Our findings reveal overwhelmed, with exceeding capacity resulting extensive flooding, affecting over half application improved assessment enabling creation realistic data-scarce regions, leading accurate identification areas.

Language: Английский

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Review of Urbanization-Associated Farmland Research in China: A Sustainability Perspective

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 534 - 534

Published: April 17, 2024

Farmland loss in drastically urbanizing landscapes has long been a research concern for resource management, landscape planning, and spatial governance, especially the context of China. In recent years, issue urbanization-associated farmland (UAFL) seems to be increasingly recognized as relevant sustainability. To date, however, existing studies have not yet comprehensively addressed gap between UAFL Here, we aim help fill this knowledge by considering an example broader land/landscape-related literature, hope informing future better advance sustainability through land-related approaches. Specifically, combined bibliometric analyses with code-based content analysis reveal base, thematic evolution, historiographic paths literature on across China empirical case studies’ relevance Our main findings include: (1) examined barely draws insights from science only started arise notable topic at around 2016; (2) over half show awareness advancing interest understanding social-environmental drivers processes underlying dynamics, few demonstrate methodological transdisciplinarity; (3) those sustainability-relevant either frame depletion that may threat China’s food security consequently hinder sustainable urbanization or part widespread dynamics affect environmental outcome(s) social–environmental tradeoffs multi-functions; (4) are disproportionately focused 1991–2006, national, regional, city scales, some most developed areas. provide overview specific avenue and, more importantly, point imperative land/landscape scholars break out their disciplinary silos, natural sciences, generate actionable insights.

Language: Английский

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The impact of urban green space landscape on PM2.5 in the central urban area of Nanchang city, China

Atmospheric Pollution Research, Journal Year: 2023, Volume and Issue: 14(11), P. 101903 - 101903

Published: Aug. 20, 2023

Language: Английский

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Assessment of walnut (Juglans regia L.) cultivation land suitability using a multiple-criteria decision-making method in Southeastern Turkey

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 21, 2025

Site selection for agricultural products is critical planning, productivity, and farmers. also sustainability, as it helps ensure the efficient use of natural resources avoids environmental degradation. This research proposes an evaluation model walnut cultivation in Savur (Mardin, Turkey) district Southeastern Anatolia region. Based on literature data, expert opinion, local producers' perspectives, a spatial decision support system was developed using Geographic Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA). provides farmers stakeholders with comprehensive different walnut-producing sites district. It allows them to make informed decisions about most suitable areas production. The land suitability assessment orchards included four primary aspects, ten main criteria, forty-seven sub-criteria. Evaluation criteria were weighted Analytic Hierarchy Process (AHP). A map created overlay method overlap criteria. results showed 442.56 ha very highly land, 9789.43 1140.76 moderately In order determine accuracy study model, ROC (Receiver Operating Characteristic) analysis conducted. As result validation analysis, constructed had Area Under Curve (AUC) 0.911, which indicates excellent fit between reality; therefore, acceptable. demonstrates that integrating AHP GIS can aid planning decision-making.

Language: Английский

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Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 30, 2025

Abstract We present a comprehensive gridded GDP per capita dataset downscaled to the admin 2 level (43,501 units) covering 1990–2022. It updates existing outdated datasets, which use reported subnational data only up 2010. Our dataset, is based on from 89 countries and 2,708 administrative units, employs various novel methods for extrapolation downscaling. Downscaling with machine learning algorithms showed high performance (R = 0.79 cross-validation, R 0.80 test dataset) accuracy against datasets (Pearson 0.88). The includes annual (1990–2022) three levels: 0 (national; 237 units), 1 (provincial; units countries), (municipality; 43,501 units). has higher spatial resolution wider temporal range than do will thus contribute global or regional analyses such as socioenvironmental modelling economic resilience evaluation. are available at https://doi.org/10.5281/zenodo.10976733 .

Language: Английский

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Land use and land cover conflict risk assessment model: Social and spatial impact of suburbanisation

Landscape and Urban Planning, Journal Year: 2025, Volume and Issue: 257, P. 105302 - 105302

Published: Feb. 1, 2025

Language: Английский

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