全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

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

DOI: 10.12677/jwrr.2025.143032, PP. 302-310

Keywords: 水文测验,遥感测高技术,水文,水文监测
Hydrometry
, Remote Sensing Altimetry Technology, Hydrology, Hydrological Monitoring

Full-Text   Cite this paper   Add to My Lib

Abstract:

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。
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.

References

[1]  CHAGAS, P. B. V., CHAFFE, B. L. P. and BLÖSCHL, G. Regional low flow hydrology: Model development and evaluation. Water Resources Research, 2024, 60(2): e2023WR035063.
https://doi.org/10.1029/2023wr035063
[2]  李靖, 李浩, 王树东, 等. 中亚五国主要湖泊水面变化特征及关键影响因素分析[J]. 遥感技术与应用, 2019, 34(3): 639-646.
[3]  陈探, 赵爽, 张大鹏. 1990-2021年新疆典型湖泊水量变化遥感估算[J]. 应用生态学报, 2024, 35(11): 3141-3148.
[4]  TARPANELLI, A., BARBETTA, S., BROCCA, L., et al. River discharge estimation by using altimetry data and simplified flood routing modeling. Remote Sensing, 2013, 5(9): 4145-4162.
https://doi.org/10.3390/rs5094145
[5]  PAPA, F., BALA, S. K., PANDEY, R. K., et al. Ganga-Brahmaputra river discharge from Jason-2 radar altimetry: An update to the long-term satellite-derived estimates of continental freshwater forcing flux into the bay of Bengal. Journal of Geophysical Research, C. Oceans: JGR, 2012, 117(C11): C11021.
https://doi.org/10.1029/2012jc008158
[6]  BIRKINSHAW, S. J., O’DONNELL, G. M., MOORE, P., et al. Using satellite altimetry data to augment flow estimation techniques on the Mekong River. Hydrological Processes, 2010, 24(26): 3811-3825.
https://doi.org/10.1002/hyp.7811
[7]  OMID, E., ANDRÁS, B., et al. Spaceborne river discharge from a nonparametric stochastic quantile mapping function. Water Resources Research, 2021, 57(12): e2021WR030277.
https://doi.org/10.1029/2021wr030277
[8]  ELMI, O., et al. Remote sensing-based extension of GRDC river discharge time series. Stuttgart: Universitätsbibliothek Stuttgart, 2023.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133