Abstract

It has been shown that land use change in urbanized region, especially urban land expansion, will influence regional climate. However, there has been very little research on the climate effects of the future land use change in a rapidly urbanizing region. Taking the southern part of Jiangsu province in China as the study area and through a scenario analysis, the influence of land use change on the regional temperature was analyzed from the perspective of land surface radiation budget and energy balance. The results indicated that (1) the monthly average temperature is significantly higher under the Rapid Economic Growth (REG) scenario than under the Cooperate Environmental Sustainability (CES) scenario in 2050, especially in the hottest month (July). (2) The range of high-temperature regions is much wider under the REG scenario than it is under the CES scenario in 2050. (3) The land surface net radiation and latent heat flux are two key factors through which land use change influences the regional temperature in the study area, and the latent heat flux plays a dominant role. (4) Land use change mainly influences the land surface net radiation by altering the land surface albedo and emissivity. These results are helpful to mitigate regional climate change effects caused by land use change.

Highlights

  • Urbanization is one of the most dramatic changes in the world

  • The core of Rapid Economic Growth (REG) scenario is that land use demands have the priority in land use change

  • The scientific understanding of the impacts of land use change on the regional climate change provides the foundation for reasonable land use management so as to mitigate the climate change

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Summary

Introduction

Urbanization is one of the most dramatic changes in the world. Urban land expansion is a prominent feature of urbanization. This method is simple, intuitive, and persuasive, but it is affected by the site classification results and the number of samples To solve this problem, Kalnay and Cai (2003) [25], based on the characteristics of NCEP/NCAR reanalysis data which did not use ground-based observations information in the assimilation process, proposed an idea which could reflect impacts of urbanization on the regional climate change according to comparative observations and reanalysis differences [25]. With the development of remote sensing technology, the research of the impacts of urbanization on regional climate change has made a great progress by using remote sensing technology to extract information on land use changes and land surface air temperature and precipitation data [29,30,31] These methods provided a good support to describe the impacts of urbanization on climate change. The WRF model was used to simulate the impacts of future land use change on regional climate change, to scientifically understand the key parameters and the key process of the impacts of region’s future land use change on regional climate change, and to provide scientific basis for the rational regional land use planning to mitigate climate change

Study Area
Data and Methodology
Results
Discussion and Conclusion
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