Monthly Archives: April 2017



据说有个App叫“我的南京”注册后可以帮缴费,开发单位应该还是有政府背景,相对可靠,我查了一下百度相关的帖子,据说现在又只能查不能缴了,现在应该也是一个可用的选择。但同时因为此iOS App只在中国区分布,我是美国帐号,下不过来,所以也没有去了解更深的东西。


Update (4/18/2017): 微信里有个公众号“南京公安”,进入“微服务”,进去“违法曝光处理”,完成实名认证后也可以交费,但与支付宝一样,都不能有扣分。自从有了支付宝和微信,真是改变了生活。


A paper on evaluation of some simple permafrost models on QTP

Zhao S, Nan Z*, Huang Y, Zhao L. The application and evaluation of simple permafrost distribution models on the Qinghai-Tibet Plateau. Permafrost and Periglacial Processes. 2017, 28(2): 391-404. DOI:10.1002/ppp.1939.


The performance of simple permafrost distribution models widely used on the Qinghai–Tibet Plateau (QTP) has not been fully evaluated. In this study, two empirical models (the elevation model and mean annual ground temperature model) and three semi-physical models (the surface frost number model, the temperature at the top of permafrost model and the Kudryavtsev model) were investigated. The simulation results from the models were compared to each other and validated against existing permafrost maps of the entire QTP and in three representative areas investigated in the field. The models generally overestimated permafrost distribution in the investigated areas, but they captured the broad characteristics of permafrost distribution on the entire QTP, and performed best in areas with colder, continuous permafrost. Large variations in performance occurred at elevations of 3800–4500 m asl and in areas with thermally unstable permafrost. The two empirical models performed best in areas where permafrost is strongly controlled by elevation, such as eastern QTP. In contrast, the three semi-physical models were better in southern island permafrost areas with relatively flat terrain, where local factors considerably impact the distribution of permafrost. Model performance could be enhanced by explicitly considering the effects of elevation zones and regional conditions.

PDF available upon request.