Environmental Pollution, Год журнала: 2025, Номер 381, С. 126621 - 126621
Опубликована: Июнь 4, 2025
Язык: Английский
Remote Sensing, Год журнала: 2023, Номер 15(9), С. 2383 - 2383
Опубликована: Май 1, 2023
Rapid urbanization has altered the regional hydrological processes, posing a great challenge to sustainable development of cities. The TVGM-USWM model, new urban model considering nonlinear rainfall-runoff relationship and flow routing in an drainage system, was developed this study. We employed Huangtaiqiao basin Jinan City, China, examined impact land cover changes due on processes. Two scenarios were set up during design rainfall events with different return periods. Results showed that (1) demonstrated good applicability study area, RNS values flood are all greater than 0.75 both calibration validation periods; (2) proportion impervious areas increased from 44.65% 1990 71.00% 2020, played leading role process change manifested itself as circular extensional expansion; (3) significant amplifying effect particularly for relatively big floods small frequency, time-to-peak gradually decreased frequency decreased. results can provide technical support mitigation construction sponge city City.
Язык: Английский
Процитировано
17
Remote Sensing, Год журнала: 2023, Номер 15(18), С. 4437 - 4437
Опубликована: Сен. 9, 2023
Rapid global economic development, population growth, and increased motorization have resulted in significant issues urban traffic safety. This study explores the intrinsic connections between road environments driving safety by integrating multiple visual landscape elements. High-resolution remote sensing street-view images were used as primary data sources to obtain features of an expressway. Deep learning semantic segmentation was employed calculate features, a trend surface fitting model driver fatigue established based on experimental from 30 drivers who completed tasks random order. There spatial variations expressway city center periphery. Heart rate values fluctuated within range 0.2% with every 10% change speed complexity. Specifically, complexity changed 5.28 8.30, heart 91 96. suggests that higher degree richness effectively mitigates increases exerts positive impact provides reference for quantitative assessment research combines using sources. It may guide implementation measures during planning construction.
Язык: Английский
Процитировано
17
Atmospheric Environment, Год журнала: 2023, Номер 315, С. 120159 - 120159
Опубликована: Окт. 18, 2023
Язык: Английский
Процитировано
17
The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172606 - 172606
Опубликована: Апрель 18, 2024
Язык: Английский
Процитировано
6
Environmental Pollution, Год журнала: 2023, Номер 341, С. 122880 - 122880
Опубликована: Ноя. 7, 2023
Язык: Английский
Процитировано
12
Journal of Cleaner Production, Год журнала: 2023, Номер 411, С. 137183 - 137183
Опубликована: Апрель 26, 2023
Язык: Английский
Процитировано
10
Environmental Research Letters, Год журнала: 2024, Номер 19(2), С. 024040 - 024040
Опубликована: Янв. 18, 2024
Abstract Ground-level ozone (O 3 ), renowned for its adverse impacts on human health and crop production, has garnered significant attention from governmental public sectors. To address the limitations posed by sparse uneven ground-level O observations, this study proposes an innovative method hourly full-coverage estimation using machine learning. Meteorological data National Centers Environmental Prediction global forecasting system, satellite Fengyun-4 A(FY-4 A) Ozone Monitoring Instrument, emission inventory Multi-resolution Emission Inventory China, other auxiliary are utilized as input variables, while ground-based observations serve response variable. The is applied a monthly basis across China year 2022, resulting in generation of high-resolution (4 km) estimation, termed ML-derived-O . Cross-validation results demonstrate robustness yielding coefficient determination ( R 2 ) 0.96 (0.91) sample-based (site-based) evaluations root-mean-square error (RMSE) 9.22 (13.65) µ g m −3 However, date-based evaluation less satisfactory due to imbalanced training data, pronounced daily variations concentrations. Nevertheless, seasonal exhibits high prediction accuracy, with values surpassing 0.95 RMSE remaining below 7.5 This marks milestone first successful attempt obtain China. diurnal variation demonstrates consistency irrespective clear or cloudy days, effectively capturing pollution exposure events. novel will be employed establish long-term spatial-temporal resolution dataset, which holds valuable applications air monitoring environmental research future endeavors.
Язык: Английский
Процитировано
4
The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 173892 - 173892
Опубликована: Июнь 13, 2024
Язык: Английский
Процитировано
3
Environmental Science & Technology, Год журнала: 2024, Номер 58(36), С. 15938 - 15948
Опубликована: Авг. 28, 2024
Accurately mapping ground-level ozone concentrations at high spatiotemporal resolution (daily, 1 km) is essential for evaluating human exposure and conducting public health assessments. This requires identifying understanding a proxy that well-correlated with variation available high-resolution data. study introduces modeling method utilizing the XGBoost algorithm satellite-derived land surface temperature (LST) as primary predictor. Focusing on China in 2019, our model achieved cross-validation
Язык: Английский
Процитировано
3
Toxics, Год журнала: 2025, Номер 13(3), С. 226 - 226
Опубликована: Март 19, 2025
This study aims to examine the relationship between meteorological factors, specifically temperature, solar radiation, and ozone concentration levels. Levels of surface were monitored (O3) in Chonburi, Thailand (located at 3.2017° N, 101.2524° E), from January 2010 December 2020. Thailand’s coastal tropical environment provided a unique setting for study. The revealed distinctive seasonal trend levels, with highest concentrations occurring during winter lowest rainy season, on average. increase O3 summer was primarily attributed intense ground-level radiation higher temperatures around 30–35 °C, enhancing ranging 200 1400. During winter, there is an increased elimination by levels NO2. also examined various factors identify which had most significant impact formation. analysis showed that has strong negative correlation relative humidity but positively correlated wind speed.
Язык: Английский
Процитировано
0