Ranhao Sun
Biographic Data
| ID | 6309886 |
|---|---|
| NAME | Ranhao Sun |
| GIVEN NAMES | Ranhao |
| FAMILY NAME | Sun |
| SIGNATURE | SUN R |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0003-2396-5131 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
An innovative framework for automatic assessment of urban vegetation pollen allergenic risk using street view imagery and machine learning models
Disentangling the impact of climate and ecological restoration measures on ecosystem service
Zone-specific vegetation dynamics and impact on surface urban heat island intensity in Chinese cities
Hydropower resettlement reshapes human–nature relationships
Understanding how hydropower migrants perceive nature's contributions to people (NCP) and how these perceptions relate to their subjective well‐being (SWB) is essential for informing resettlement policies that promote a good quality of life. How hydropower migrants' perceived NCP affects SWB remains poorly understood. To fill this gap, this study conducted an empirical investigation of migrants relocated by the Wudongde and Baihetan hydropower st…
Livelihood changes of migrants due to hydropower construction
Human extreme heat protective behaviours
Individual actions can mitigate the consequences of extreme heat. Therefore, understanding the mechanism of protective behaviours against extreme heat is critical. Although extreme heat protective behaviours have been widely mentioned, the roles of psychological risk perception and public restraint are poorly understood. In this study, we developed a physical-measure-psychosocial model (PMP) to reveal the intrinsic motivation for protective behav…
Prevalent underestimation of tree cooling efficiency attributed to urban intrinsic heterogeneity
Sentiment variations affected by urban temperature and landscape across China
Understanding the ramifications of urban environments on human well-being is of increasing importance. However, extant studies often focus on specific cities, neglecting the broader national framework. Here, big data techniques were utilized to analyze >6.5 million geotagged Weibo from China in 2021. Each Weibo's sentiment was calculated using advanced deep learning-based sentiment analysis, and the effects of temperature and green spaces on sent…
Urban landscape and climate affect residents’ sentiments based on big data
Climatic effects on landscape multifunctionality in urban parks
The rapid and relentless development of urban areas highlights the importance of landscape multifunctionality. However, there is limited research on the temporal dynamics and climatic effects of urban landscape multifunctionality. This study aimed to address this gap by analyzing the features of multiple landscape functions triggered by seasonal climate change in different urban park types. In this study, we investigated five typical urban landsc…
How does three-dimensional landscape pattern affect urban residents' sentiments
Identifying sensitive population associated with summer extreme heat in Beijing
Remote sensing-based morphological analysis of core city growth across the globe
The Distribution and Accessibility of Urban Parks in Beijing, China
As public service facilities, urban parks offer many benefits for daily life and social activities for residents. However, the accessibility of public parks to urban residents is often unevenly distributed in spaces that cannot be utilized fully. Here, we used the urban parks in Beijing, China as a case study and examined the relationship between urban park accessibility and population distribution at different administrative levels. Gini coeffic…
The Impact of Greenspace on Thermal Comfort in a Residential Quarter of Beijing, China
With the process of urbanization, a large number of residential quarters, which is the main dwelling form in the urban area of Beijing, have been developed in last three decades to accommodate the rising population. In the context of intensification of urban heat island (UHI), the potential degradation of the thermal environment of residential quarters can give rise to a variety of problems affecting inhabitants' health. This paper reports the re…
How can urban water bodies be designed for climate adaptation?
A Multivariate Regression Model for Predicting Precipitation in the Daqing Mountains
Multivariate regression analysis, combined with residuals correction, was carried out to develop a precipitation prediction model for the Daqing Mountains of Inner Mongolia in northern China. Precipitation data collected at 56 stations between 1955 and 1990 were used: data from 48 stations for model development and data from 8 stations for additional tests. Five topographic factors—altitude, slope, aspect, longitude, and latitude—were taken into …
A Multivariate Regression Model for Predicting Precipitation in the Daqing Mountains
Multivariate regression analysis, combined with residuals correction, was carried out to develop a precipitation prediction model for the Daqing Mountains of Inner Mongolia in northern China. Precipitation data collected at 56 stations between 1955 and 1990 were used: data from 48 stations for model development and data from 8 stations for additional tests. Five topographic factors—altitude, slope, aspect, longitude, and latitude—were taken into …
How can urban water bodies be designed for climate adaptation?
The Impact of Greenspace on Thermal Comfort in a Residential Quarter of Beijing, China
With the process of urbanization, a large number of residential quarters, which is the main dwelling form in the urban area of Beijing, have been developed in last three decades to accommodate the rising population. In the context of intensification of urban heat island (UHI), the potential degradation of the thermal environment of residential quarters can give rise to a variety of problems affecting inhabitants' health. This paper reports the re…
The Distribution and Accessibility of Urban Parks in Beijing, China
As public service facilities, urban parks offer many benefits for daily life and social activities for residents. However, the accessibility of public parks to urban residents is often unevenly distributed in spaces that cannot be utilized fully. Here, we used the urban parks in Beijing, China as a case study and examined the relationship between urban park accessibility and population distribution at different administrative levels. Gini coeffic…
Identifying sensitive population associated with summer extreme heat in Beijing
Remote sensing-based morphological analysis of core city growth across the globe
Urban landscape and climate affect residents’ sentiments based on big data
Climatic effects on landscape multifunctionality in urban parks
The rapid and relentless development of urban areas highlights the importance of landscape multifunctionality. However, there is limited research on the temporal dynamics and climatic effects of urban landscape multifunctionality. This study aimed to address this gap by analyzing the features of multiple landscape functions triggered by seasonal climate change in different urban park types. In this study, we investigated five typical urban landsc…
How does three-dimensional landscape pattern affect urban residents' sentiments
Human extreme heat protective behaviours
Individual actions can mitigate the consequences of extreme heat. Therefore, understanding the mechanism of protective behaviours against extreme heat is critical. Although extreme heat protective behaviours have been widely mentioned, the roles of psychological risk perception and public restraint are poorly understood. In this study, we developed a physical-measure-psychosocial model (PMP) to reveal the intrinsic motivation for protective behav…
Prevalent underestimation of tree cooling efficiency attributed to urban intrinsic heterogeneity
Sentiment variations affected by urban temperature and landscape across China
Understanding the ramifications of urban environments on human well-being is of increasing importance. However, extant studies often focus on specific cities, neglecting the broader national framework. Here, big data techniques were utilized to analyze >6.5 million geotagged Weibo from China in 2021. Each Weibo's sentiment was calculated using advanced deep learning-based sentiment analysis, and the effects of temperature and green spaces on sent…
Livelihood changes of migrants due to hydropower construction
An innovative framework for automatic assessment of urban vegetation pollen allergenic risk using street view imagery and machine learning models
Disentangling the impact of climate and ecological restoration measures on ecosystem service
Zone-specific vegetation dynamics and impact on surface urban heat island intensity in Chinese cities
Hydropower resettlement reshapes human–nature relationships
Understanding how hydropower migrants perceive nature's contributions to people (NCP) and how these perceptions relate to their subjective well‐being (SWB) is essential for informing resettlement policies that promote a good quality of life. How hydropower migrants' perceived NCP affects SWB remains poorly understood. To fill this gap, this study conducted an empirical investigation of migrants relocated by the Wudongde and Baihetan hydropower st…
Geography (12 works) · Urban Heat Island Mitigation (11 works) · China (9 works) · Ecology (8 works) · Urban Green Space and Health (8 works) · Environmental Science (7 works) · Beijing (6 works) · Land Use and Ecosystem Services (6 works) · Meteorology (6 works) · Climate change (5 works)