Based on the variation of light / heavy mineral components of sedimentary rocks , the typomorphic characteristics of various debris , the cathodoluminescence color of quartzes , the direction of paleocurrent and the extension of sedimentary facies , two source direction of the studied area in carboniferous and permian can be recognized , one is in bayanwusu , wulan ' ge ' er and hetaoyinshan area north of hangjinqi in the north margin of ordos , another is alashan area in the northwest margin of ordos 在深入研究本区沉积岩轻、重矿物组分的变化、各种岩屑的标型特征、石英阴极发光颜色、古水流方向及沉积相带展布等基础上，认为研究区石炭?二叠纪的物源方向主要有两个，分别为：北缘杭锦旗以北的巴彦乌苏、乌兰格尔及河套阴山地区；以及研究区西北缘的阿拉善地区。
Using the method of the minimum square summation , counting larger index of pipe length , distribute initiatory flow of pipe networks . it can better considerate the pipe lenth ' s influence to flow , and it ' s results are fitter for the theories of flow distribution . it is the best one in all optimal methods and propitious to finish the calculation by computer 这种计高幂次管长的最小平方和法分配管网初始流量，既不要预先确定管段水流方向又特别加重考虑了管长的因素，是现有的流量分配方法中最可取的一种，还便于用计算机一并完成全部计算。
In this paper , an approach of the systematic artificial neutral net was introduced into the analysis on the ship - against - bridges probability with a computer programs . based on the basic data of the present 12 typical bridges as the sample , 4 chief influential factors as the input coefficient , such as the bridge span , the water flow rate , the incline angle between water flow direction and the direction normal to bridge axis , and the curve in the course near the bridge area , with the ship - against - bridge probability as the output coefficient , the intelligent judging system of the ship - against - bridges probability reflecting the influence of the above input parameters is obtained after training 本文首次将人工神经网络系统方法引入了船撞桥概率的研究当中，编制了计算程序，成功地以现有12座典型桥梁的基础数据为样本，以桥梁跨径、水流流速、水流方向与桥轴法线的夹角以及桥区航道弯曲度等4个船撞桥主要影响因素为输入参数，以船撞桥概率为输出参数，经训练得到了能较好地反映上述输入参数影响的船撞桥概率判断系统。
