Geography Reference
In-Depth Information
increase the proportion of urban green land in urban land use planning and take
urban forests as an important component of the ecological infrastructure to promote
the ability of cities to mitigate and adapt to climate change.
6.2 Estimated Biogeophysical Effects of Urbanization
in Southern Jiangsu Province
Southern Jiangsu province is located in the Yangtze River Basin in China (Fig.
6.5
),
with superior geographical environment, pleasant climate and convenient irrigation,
vast plains, and fertile soil. There are five cities in Southern Jiangsu province,
including Nanjing, Zhenjiang, Changzhou, Wuxi, and Suzhou. Southern Jiangsu
province has been China's most prosperous place because of due to the well-
developed agriculture. Southern Jiangsu province also has a geographical advantage
that it neighbors Shanghai and is Shanghai's largest hinterland. Because of its
natural connection with Shanghai in geography, Southern Jiangsu province becomes
Shanghai's most direct economic radiation zone, taking and digesting its industrial
transfer, absorbing and creating a lot of employment opportunities. Southern
Jiangsu province seized the opportunity and thus became a typical model of China's
economic development since China's reform and opening up.
With Shanghai's role in driving the economic development, the Southern
Jiangsu province grows rapidly in economic development and urbanization. In
2008, the regional GDP of Southern Jiangsu province was 1.85 trillion Yuan,
accounting for 6.4 % of the whole country. Southern Jiangsu province is also
relatively dense with cities and towns, and urbanization level is high. In 2008, the
urbanization rate in Southern Jiangsu province reached 67.7 %, and per capita
GDP reached 61,823 Yuan reaching the level of moderately developed countries.
In this study, we first simulate the region's future land use change scenarios
based on DLS (Dynamics of Land System) model, and then processed the DLS
simulation results in order to satisfy the requirements of underlying surface of
WRF model. On this basis, WRF model is used to simulate the impacts of future
land use change on regional climate change to scientifically understand the core
parameters and the key process of the impacts of future land use change on
regional climate change, and thereafter to provide scientific basis for rational
regional land use planning to mitigate climate change.
6.2.1 Data and Methodology
6.2.1.1 Data Sources
Data used in this study includes land use data, socioeconomic data, and natural
environmental indicators of Southern Jiangsu province.
