摘要
针对WRF模式自带土地利用数据更新不及时及精度不高的现象,本文将国内外主要土地利用数据（MODIS2012、GLC2009、GLC2000）与WRF模式耦合进行土地利用数据的优选,并将优选数据初步应用于枣庄城市热岛模拟中.结果表明：①MODIS2012数据能够较好地反映研究区域土地利用类型的空间分布特征,有较好的模拟结果;②研究区10月份热岛强度最大为0.671℃,其次是1月份和7月份分别为0.570℃和0.550%,而4月份热岛强度较小为0.467℃;城市热岛强度日最大值出现在22～23点,最小值出现在13～14点;③由于盛行风向的影响,滕州市与枣庄市中区城市热岛中心均存在春夏季北进、秋冬季南移的现象;④枣庄地区城市热岛主要受枣庄市中区的影响,各土地利用类型对城市热岛的贡献率大小排序为：城镇建设用地＞农田＞林地＞未利用地＞草地＞水体.
Given that WRF land use/cover data is delayed and incorrect, we selected three kinds of prevailing land use/cover data （MOD2012, GLC2009 and GLC2000） to compare with WRF inside LUCC data, and then selected LUCC data for UHI simulation. We found that MODIS2012 LUCC can best reveal the amount and spatial distribution of land use type among chosen data. When the MODIS2012 data is used in the WRF model, the correlation coefficient and rms error of simulated temperature, precipitation and wind speed is increased compared with simulation results, of which WRF inside LUCC data is used. The UHI intensity, which is 0.671 ℃ in study area, is strongest in October and weakest （0.467 ℃ ） in April. The maximum daily UHI intensity appears between 22：00 h to 23：00 h, and the minimum daily UHI intensity appears during 13：00 h to 14：00 h. Zaozhuang urban area has more influence on UHI intensity center location. Due to the influence of the prevailing wind, the UHI intensity center in Shizhong district of Zaozhuang and Tengzhou moves north in spring and summer, while the UHI intensity center in Shizhong district of Zaozhuang and Tengzhou moves south in autumn and winter. According to the temperature contribution of different land use types, the temperature contribution of built-up is the highest, and the smallest is that of water. The order of temperature contribution of different land use type is built-up〉 farmland 〉 forest 〉 unused 〉grassland 〉 water.
出处
《资源科学》
CSSCI
CSCD
北大核心
2015年第9期1785-1796,共12页
Resources Science
基金
山东省自然科学基金项目(ZR2015DL001)
山东省优秀中青年科学家科研奖励基金项目(BS2014HZ022)
曲阜师范大学科研启动基金资助(BSQD20130102)
