基于ADCP与遥感测高卫星数据的河段流量估算方法及实例

Flow Estimation Methods of River Sections Based on ADCP and Remote Sensing Altimetry Satellite Data and Example

摘要: 本文利用码头镇实测水文测验数据与遥感测高技术，对长江中游码头镇河段利用遥感测高数据的流量估算可行性进行了分析研究。通过现场实测数据和DAHITI遥感水位数据的结合，对码头镇河段2020~2023年流量进行了估算，并与长江中下游汉口站流量与九江站流量进行了对比。结果表明，ADCP测流与遥感数据在流量测算方面具有较高的精度与可靠性，可为水资源管理和调度提供技术支撑。

Abstract: The feasibility of flow estimation in the Matou Town section of the middle reaches of the Yangtze River using remote sensing altimetry data is analyzed and studied in this paper, utilizing measured hydrological data from Matou Town and remote sensing altimetry technology. The flow of the Matou Town section from 2020 to 2023 is estimated by combining field-measured data with DAHITI remote sensing water level data. This estimated flow is then compared with the flow data from Hankou and Jiujiang stations in the middle and lower reaches of the Yangtze River. The results indicate that the flow measurement using ADCP and remote sensing data is characterized by high accuracy and reliability, which can provide technical support for water resource management and scheduling.