Proceedings Article | 9 October 2007
KEYWORDS: Climatology, Data modeling, Climate change, Databases, Geographic information systems, Atmospheric modeling, Satellites, Computer simulations, Systems modeling, Remote sensing
A social-economic database based on the Governmental Statistical Annals, county-to-county investigation, literature
verification, as well as the satellite identification was completed recently by the Remote Sensing and GIS Research
Center, Beijing Normal University of China. The GIS Operational System handing this database not only provides details
of the social, ecological, and economic information of the Northern China's 13 provinces since earlier 1950s, but also
gives out predictions of these information by 2050 with different sceneries concerning the population increase, land use
variation, governmental policy adjusting, administrating capability, science and technology development, National GDP
increment, as well as world climate change. Aims at further regional climate simulation study, there is a special module
nested in the GIS Operational System that interprets the county-level administrative data-units to a 60 × 60 km numerical
mesh-grid suitable for climate model. By incorporating the land use dynamics provided by the above database, the new
generation of the Regional Integrate Environment Modeling System (RIEMS2.0) was used for climate simulation study.
The preliminary simulation studies show that: (1) the regional climate will be affected by the LULC variation because
the equilibrium of water and heat transfer in the air-vegetation interface is changed; (2) the integrate impact of the LULC
variation on climate (such as temperature, humidity and net long-wave radiation, precipitation) is not only limited to the
Northern China where LULC varies, but also to the whole numerical domain where the LULC does not vary at all; (3)
the ecological construction engineering implemented in Northern China including the Green-Great Wall construction
engineering, the replace farming with forestry and grass movement, and the natural forest conservation etc has shown
and will work positively on the eco-environment improvement, particularly shown as the increased precipitation in
Northern China.
