Quantifying the Impact of Land Use/Land Cover Change Scenarios on Water-Related Ecosystem Services

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Май 29, 2025

Язык: Английский

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High-Resolution Mapping of Urban Residential Building Stock Using Multisource Geographic Data

Buildings, Год журнала: 2024, Номер 14(5), С. 1266 - 1266

Опубликована: Апрель 30, 2024

The rapid pace of urbanization and the increasing concentration populations in urban areas have generated a substantial demand for architectural structures, resulting significant increase building stock continuous material flows that interact with environment. This study emphasizes importance high-spatial-resolution mapping residential effective urban-construction resource management, planning, waste management. Focusing on Xi’an as case study, research develops comprehensive framework by integrating diverse data dimensions, including temporal, spatial, network, multi-attribute aspects. findings indicate between 1990 2020, approximately 4758 communities were established central Xi’an. analysis seven key construction materials revealed escalated from 1.53 million tons to 731.12 tons, steady spatial expansion distribution. attributes this growth factors such population increase, economic advancement, policy initiatives, which, turn, driven reinforced interdependence development. Remarkably, surged 2.1-fold, economy 66-fold, 477-fold, indicating rate consistently outpaced both growth. Over past three decades, buildings has led encroachment ecological spaces concrete structures. methodology proposed quantifying offers valuable insights policymakers environmental planners foster responsible consumption supports component-level circularity built

Язык: Английский

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Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns

Advances in Space Research, Год журнала: 2024, Номер 73(8), С. 4158 - 4174

Опубликована: Янв. 11, 2024

Язык: Английский

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Impacts of Spatial Resolution and XCO2 Precision on Satellite Capability for CO2 Plumes Detection

Sensors, Год журнала: 2024, Номер 24(6), С. 1881 - 1881

Опубликована: Март 15, 2024

Greenhouse gas satellites can provide consistently global CO2 data which are important inputs for the top-down inverse estimation of emissions and their dynamic changes. By tracking greenhouse emissions, policymakers businesses identify areas where reductions needed most implement effective strategies to reduce impact on environment. Monitoring gases provides valuable scientists studying climate change. The requirements monitoring verification support capacity drive payload design future satellites. In this study, we quantitatively evaluate performance satellite in detecting plumes from power plants based an improved Gaussian plume model, with focus impacts spatial resolution satellite-derived XCO2 precision under different meteorological conditions. simulations indicate that enhanced significantly improve detection capability satellite, especially small-sized below 6 Mt CO2/yr. satellite-detected maximum enhancement strongly varies wind condition. For a 0.7 ppm 2 km, it recognize plant 2.69 CO2/yr at speed m/s, while its emission needs be larger than 5.1 if is expected detected 4 m/s. Considering uncertainties simulated field, measurements hypothesized cumulative contribution overall accuracy satellite’s ability realistic investigated future. ΔXCO2 caused by uncertainty more significant those introduced direction. case emitting CO2/yr, increasing 0.5 m/s associated field ranges 3.75 ± 2.01 0.46 0.24 1.82 0.95 0.22 0.11 1 × km2 pixel size, respectively. Generally, even direction higher uncertainty, still has direction, because there rapid growth maximal enhancements uncertainties. A designed better km suggested, much likely when 3 Although observed parameters not sufficient full satellites, study insights enhancing anthropogenic emissions.

Язык: Английский

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Determining the Influence of Meteorological, Environmental, and Anthropogenic Activity Variables on the Atmospheric Co2 Concentration in the Arid and Semi-Arid Regions: A Case Study in the Middle East

Опубликована: Янв. 1, 2024

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Язык: Английский

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Analysis of CO2 and air pollutant driving factors and synergistic benefits in typical Chinese industries

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 5, 2024

Язык: Английский

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Analysis of spatiotemporal patterns of atmospheric CO2 concentration in the Yellow River Basin over the past decade based on time-series remote sensing data

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(54), С. 115745 - 115757

Опубликована: Окт. 27, 2023

Язык: Английский

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