Publications by authors named "Hong'ou Zhang"

Article Synopsis
  • - The study investigates how housing hardship affects cancer incidence in the Yangtze River Economic Belt (YREB), highlighting a connection that has been largely overlooked in previous research.
  • - Key findings indicate that factors like the housing price-to-income ratio (HPIR) and proportion of rental households (RHP) increase cancer risk, while a larger per capita living area (PCLA) reduces it.
  • - Differences in housing hardship's impact on cancer rates are noted between urban and non-urban areas, with PCLA being more critical in urban settings and RHP being more influential in non-urban areas.
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Introduction: Forests are closely linked to human health, particularly about lung cancer incidence. However, there is currently limited research on how forest coverage and different types of forests influence lung cancer rates. This study aims to address this gap by examining how the coverage of various forest types impacts lung cancer incidence in Southwest China, thereby providing theoretical support for health-oriented forest structure planning.

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Article Synopsis
  • * Lung cancer incidence in China varies greatly by region, with a need for more studies to explore these spatial differences and their causes, particularly in relation to atmospheric conditions.
  • * A spatial regression model was used to analyze the impact of environmental factors like PM2.5 and socio-economic characteristics, showing that higher PM2.5 levels are linked to increased lung cancer incidence, particularly in Northeast China.
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Article Synopsis
  • Reducing energy consumption in cities is key for sustainable urban development, and understanding how population density affects per capita energy consumption (PCEC) is crucial.
  • This study uses a spatial regression model to analyze data from 276 cities over nine years, revealing a significant negative relationship between population density and PCEC.
  • The findings suggest that as population density increases by 1%, PCEC increases by 0.074%, indicating that higher density can lead to lower PCEC, which could help guide energy conservation policies.
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A practical approach was developed in the study for drought monitoring in Guangdong province of China on the basis of vegetation supply water index (VSWI) and precipitation distance index (PDI). A comprehensive index for assessment of agro-drought severity (SADI) was then established from the normalized VSWI and PDI. Using MODIS satellite images and precipitation data from ground-observed meteorological stations, we applied the approach to Guangdong for drought monitoring in 2006.

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