摘要
悬移质泥沙在线测量一直是一个难以解决的问题,红外光的测量技术是一种快速、有效和简便的悬沙在线观测方法,对于低含沙量河流应用前景广阔。设计基于红外光传感器的泥沙在线监测系统,介绍系统的测量原理、安装位置选择、防雷设计措施等。从黄桥水文站的大断面和泥沙整编资料对其含沙量横向分布进行分析,确定在线监测位置的代表性,实现悬移质泥沙在线监测。通过1个汛期的数据采集,结合人工实测含沙量结果进行统计分析,探索出该方法在实际水域中应用的可行性。从2019年8月—2020年4月率定和运行结果看,在一定边界条件下,该方法所测数据基本符合测验有关规范要求,且数据畅通率达到98.79%,在新仪器新设备推广方面有一定指导意义。
The online measurement of suspended sediment has always been a difficult problem to solve.The infrared light measurement technology offers a fast,effective and simple online observation method of suspended sediment,which is promising for rivers with low sediment concentration.This paper introduces the design of an online monitoring method of sediment based on infrared light sensor,including the measurement principle,location for installation,lightning-proof design of the system.By analyzing the horizontal distribution of sediment concentration from the large section and observation data of Huangqiao hydrological station,the representativeness of the online monitoring location is determined,so that online monitoring of suspended sediment is realized.Using the data collected during one flood season,statistical analysis is carried out by comparing with the manually measured data,to explore the feasibility of this method in practice.Based on the calibration and operation results from August 2019 to April 2020,under certain boundary conditions,the data measured by this method can generally meet the requirements of relevant specifications and the data operation rate reaches 98.79%,which provides reference for promoting new instruments and equipment.
作者
伍先锋
胡兴艺
李广源
谭云辉
WU Xianfeng;HU Xingyi;LI Guangyuan;TAN Yunhui(Hunan Shaoyang Hydrology and Water Resources Survey Center,Shaoyang 422300,China;Hunan Hydrology and Water Resources Survey Center,Changsha 410006,China;Hunan Hydrological Instrument and Equipment Testing Center,Changsha 410007,China)
出处
《水利信息化》
2022年第4期41-44,61,共5页
Water Resources Informatization
基金
湖南省重大水利科技项目(XSKJ2018179-08)。
关键词
红外光
悬移质泥沙
光学传感器
浊度
含沙量
泥沙在线监测
infrared light
suspended sediment
optical sensor
turbidity
sediment concentration
online monitoring of sediment
