摘要
采用DGPS测量技术对祁连山东段冷龙岭南坡老龙湾沟和北坡的宁缠河谷、中段的摆浪河谷、西段大雪山老虎沟的小冰期、新冰期和末次冰期的冰碛垄形态分别进行了实地测量和研究.以MAT-LAB软件为平台,应用人工神经网络方法模拟恢复了各个冰期的冰碛垄形态.结果表明:利用MAT-LAB人工神经网络方法,在保证模拟高程和实测高程之差不超过1m的情况下,可以提高工作效率;祁连山地区小冰期以来冰川退缩了0.56～0.73km,新冰期退缩的长度为小冰期的3.3～3.8倍,末次冰期冰川发育的山麓冰川遵循另外的形态变化规律;在空间上,祁连山地区的冰碛地貌发育受山谷形态影响,同一地区的冰碛垄的曲率遵循一定的规律.冷龙岭南北坡可能由于太阳辐射差异的影响,北坡各个期次的冰碛垄发育规模均小于南坡.
By using differential GPS,glacial moraines were measured in the Qilian Mountains,including Laolongwan valley,Ningchanhe valley in the eastern section,Bailanghe valley in the middle section and Laohugou valley in the western section.Then the morphology of moraines was simulated based on artificial neural networks in the MatLab software.The differences between simulated and measured elevations are less than 1 m and thus the simulated elevation is precise enough for the reconstruction of the moraine shapes.The results show that the glaciers have retreated 0.56~0.74 km since the Little Ice Age,and the retreat length in the Neoglacial was 3.3~3.8 times more than that in the Little Ice Age.In the Last Glacial,when the glaciers expanded to the piedmont,the retreat of glaciers followed other change manner.The results also show that the valley shape is one of the factors for shaping the moraines in Laohugou valley,and the local climate may be a principal factor for the difference in shape of moraines between south and north slopes in the Lenglongling Mountain.
出处
《冰川冻土》
CSCD
北大核心
2011年第3期564-572,共9页
Journal of Glaciology and Geocryology
基金
国家自然科学基金项目(4097101740730101)资助
关键词
祁连山
冰碛垄
地貌模拟
冰期
Qilian Mountains
moraine
geomorphology simulation
glaciations
