Monthly Archives: April 2017

南京违章网上缴费

官方南京市公安局交通管理局互联网交通安全服务管理平台(死长的名字)—nkg.122.gov.cn—据说支持网上缴费,到处新闻上吹,但事实上很难用,诸多限制,比如要IE,与江苏银行绑定要注册江苏银行帐号等,整个商业行为。而且还极不稳定。尝试下来的感觉是:基本处在忽悠新闻搞政绩,不能用的阶段!

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。

在支付宝的城市服务里发现南京有违章缴费服务,只点了几下确定,就支付成功了。大约半个小时后去那个死长名字的平台下去检查,发现已经缴付成功。为支付宝点个赞!

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。

Image(3)

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.

ABSTRACT

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.

Links: Baidu;