Spatiotemporal Evolution of Urban Rain Islands in China under the Conditions of Urbanization and Climate Change

Luo, Zhiyang; Liu, Jiahong; Zhang, Shanghong; Shao, Weiwei; Zhou, Jinjun; Zhang, Li; Jia, Ruitao

doi:10.3390/rs14174159

Cited by 9 publications

(3 citation statements)

References 57 publications

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“…Analysis of Delta‐MME outputs revealed a continuous warming and increased humidity across the YRB throughout the 21st century. This is consistent with the findings in the North China Plain (Bai et al., 2020), Northwest China (Yang et al., 2022), and Qinghai Lake Basin (Luo et al., 2023). A significant factor behind these changes could be the reinforcement of westerly and East Asian monsoon circulation, which transport more water vapor from the Atlantic and Pacific oceans, providing sufficient water vapor across the YRB (Q. Zhang et al., 2022).…”

Section: Discussionsupporting

confidence: 91%

Ubiquitous Increases in Streamflow and Flooding Magnitude Across the Yellow River Basin

Ma,

Sun,

et al. 2024

Earth and Space Science

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Global human‐induced warming has intensified water circulation in the atmospheric environment and altered the streamflow generation regime. The VIC hydrological model approach for impact assessment of climate change and human activities mainly focuses on variations in streamflow, but ignores other critical flooding characteristics induced by extreme streamflow, especially bivariate flooding characteristics. In this work, the copula functions are employed to structure the flooding risk under the shared socioeconomic pathway (SSP) across the Yellow River basin (YRB). This is based on the multi‐model ensemble (MME) and Delta downscaling outputs (Delta‐MME) of the CMIP6 global climate models (GCMs), as well as the flooding characteristics simulated by VIC hydrological model. Compared to the reference period (1995–2014), Delta‐MME reveals a significant warming and humidifying trend under three SSPs over the YRB. Despite uncertainties originating from climate variables and hydrological model, multiple findings underscore the substantial influence of climate change on the flooding generation regime in YRB. This includes: (a) an increase in the streamflow under all SSPs; (b) a larger flooding peak (Q) and volume (W) under SSP585, with Q and W at the Huayuankou hydrologic station (HYK) increasing by 52.7% and 44.8%, respectively; (c) an advancement in the bivariate flooding risk, particularly in SSP585 where flooding co‐occurrence return period at HYK may be more than 50 times earlier. This study underscores that the urgent need to enhance social resilience to climate change in the YRB.

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Section: Discussionsupporting

confidence: 91%

Ubiquitous Increases in Streamflow and Flooding Magnitude Across the Yellow River Basin

Ma,

Sun,

et al. 2024

Earth and Space Science

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“…Additionally, the land use and land cover near the coastal waters of the GBA have changed rapidly in recent times [95]. The accelerating process of urbanization has altered the land cover type from soil and farmland to asphalt and cement, which makes the land more sensitive to heating and cooling effects and intensifies the urban heat island (UHI) effect, especially in summer [96]. Overall, the vertical diffusion capability in spring and winter is worse than that in summer and autumn.…”

Section: Vertical Diffusionmentioning

confidence: 99%

Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong–Hong Kong–Macao Greater Bay Area and the Northern South China Sea

Liu

Qiu

et al. 2022

Remote Sensing

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Aerosol is important to climate and air pollution, and different aerosol types have a non-negligible impact on the environment and climate system. Based on long-term satellite lidar profiles from 2006 to 2020, the four-dimensional (x-y-z-t) spatiotemporal characteristics of different aerosol types, including clean marine (CM), dust (DU), polluted continental/smoke (PC), clean continental (CC), polluted dust (PD), elevated smoke (ES), and dusty marine (DM), over the coastal waters of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) were revealed for the first time and compared to the surrounding northern South China Sea (NSCS). (1) The dominant aerosol types in both study areas were found to be CM, ES, and DM, whose proportions summed up to more than 85%. In spring, ES was the dominant aerosol type (>40%); in other seasons, CM dominated (>34%). The proportions of anthropogenic aerosols (PC, PD, and ES) and dust-related aerosols (DU, PD, and DM) were higher in spring and winter than in summer and autumn. (2) Vertically, the number of all aerosol types declined with increasing altitude, with the exception of abnormal increase at the heights of approximately 1.5–2.8 km in spring, which was probably attributed to the effect of local and regional anthropogenic pollutants. Below the height of 2 km, the main aerosol types were CM and DM, whereas ES, PD, and DU aerosols were dominant above 2 km. (3) Horizontally, the dominant aerosol types were spatially uniform in the lower atmosphere (<2 km), while higher altitudes (especially > 4 km) showed significant horizontal heterogeneity in space. The proportion of anthropogenic aerosols over the coastal waters of the GBA was higher than that over the NSCS, due to terrestrial pollution transportation. (4) In terms of the long-term trend, the proportion of CM aerosols was found to be steadily increasing, with the anthropogenic aerosols and dust-related aerosols showing a fluctuating and decreasing trend, which resulted from the enforcement of effective air pollution control policies. Overall, the terrestrial aerosol influence tended to decrease in the study areas. The insight into aerosol types and its variation will facilitate the understanding of the aerosol climate effects and pollutant control in the coastal waters of the GBA and the NSCS.

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“…Many studies have used long-term observational data to summarize the temporal and spatial evolution of temperature and precipitation [12][13][14][15]. Zhang [16] studied the flood events and precipitation data of typical cities in the Greater Bay Area over the past 100 years, summarized the characteristics of flood disasters, and revealed the driving factors of frequent flood disasters.…”

Section: Introductionmentioning

confidence: 99%

Research on Climate Change in Qinghai Lake Basin Based on WRF and CMIP6

Luo,

Liu,

Zhang

et al. 2023

Remote Sensing

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Climate change directly affects water resources by changing temperature and precipitation and the responses of inland basins on plateaus to climate change show a certain pattern. To systematically evaluate the changing facts and evolution trend of temperature and precipitation in the Qinghai Lake Basin, the Weather Research and Forecasting Model (WRF) was used to simulate the spatial distribution of temperature and precipitation in typical periods of the current year based on the observations of hydrological and meteorological stations. Based on the output results of different climate models in CMIP6, the temporal changing trends of temperature and precipitation were predicted. The results showed that precipitation and runoff significantly increased compared to the past, and the lake level first decreased and then increased. In August 2020, the temperature and precipitation near the lake were higher than those in the other areas of the basin. In the future, temperature and precipitation will increase under the influence of different forcing scenarios with the temperature change being more significant. A close combination of observations and simulations will provide quantitative spatiotemporal data and technical support for future climate change adaptability research in the Qinghai Lake Basin.

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Spatiotemporal Evolution of Urban Rain Islands in China under the Conditions of Urbanization and Climate Change

Cited by 9 publications

References 57 publications

Ubiquitous Increases in Streamflow and Flooding Magnitude Across the Yellow River Basin

Ubiquitous Increases in Streamflow and Flooding Magnitude Across the Yellow River Basin

Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong–Hong Kong–Macao Greater Bay Area and the Northern South China Sea

Research on Climate Change in Qinghai Lake Basin Based on WRF and CMIP6

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