面向可负担的基于3D物理的河流流量评级:在卢安瓜河流域的应用

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Instrumentation Methods and Data Systems Pub Date : 2022-12-14 DOI:10.5194/gi-2022-21
Hubert T. Samboko, Sten Schurer, Hubert H.G. Savenije, Hodson Makurira, Kawawa Banda, Hessel Winsemius
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引用次数: 0

摘要

摘要。无人驾驶飞行器(uav)、经济实惠的精确全球导航卫星系统硬件、回声测深仪、开源3D流体动力学建模软件以及免费提供的卫星数据,为一种强大、经济实惠、基于物理的河流流量监测方法提供了机会。简而言之,硬件可以用来制作几何图形。3D水动力建模为建立河流流量与状态变量(如宽度和深度)之间的关系提供了一个框架,而带有地表水探测方法或测高记录的卫星图像可用于通过已建立的评级曲线监测流量。数据采集中的不确定性可能会传播到放电和状态变量之间关系的不确定性中。在基于摄影测量的地形重建中,不同的地面控制点(GCP)密度和分布导致了所获取几何图形的变化。在这项研究中,我们利用经济实惠的数据收集方法和物理学的基本原理开发了一个评级曲线。具体目标是:确定基于3D水力模型的额定值曲线与常规方法的比较;研究几何不确定性对水力模型估计流量的影响;并研究卫星平台对深度和宽度的连续观测的不确定性如何传播到利用所得评级曲线估算河流流量的不确定性。研究结果表明,三维模型与传统的河流流量估算结果具有可比性。基于三维水力建模的评级曲线与传统的基于测量的评级曲线的置信区间在95%以内。基于物理的估算需要在旱季和雨季结束时使用实地观测来确定永久河床和洪泛区内的粗糙度系数。此外,研究表明,gcp密度的变化超过最优数量(9)对最终评级关系没有显著影响。最后,研究发现状态变量近似(水位&河宽)是最有希望使用的。在数据有限的环境中,结合适合阶段的指标(河漫滩完全填满时的水位和河漫滩填满时的宽度),可以得到更准确的流量估计。这项研究成功地应用低成本技术,通过水力模型进行精确的河流监测。在未来的研究中,可能会考虑更多的原位仪表读数,以优化验证过程。
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Towards Affordable 3D Physics-Based River Flow Rating: Application Over Luangwa River Basin
Abstract. Unmanned aerial vehicles (UAVs), affordable precise Global Navigation Satellite System hardware, echo sounders, open-source 3D hydrodynamic modelling software, and freely available satellite data have opened up opportunities for a robust, affordable, physics-based approach to monitor river flows. In short, the hardware can be used to produce the geometry. 3D hydrodynamic modelling offers a framework to establish relationships between river flow and state variables such as width and depth, while satellite images with surface water detection methods or altimetry records can be used to operationally monitor flows through the established rating curve. Uncertainties in the data acquisition may propagate into uncertainties in the relationships found between discharge and state variables. Variations in acquired geometry emanate from the different ground control point (GCP) densities and distributions which are used during photogrammetry-based terrain reconstruction. In this study, we develop a rating curve using affordable data collection methods and basic principles of physics. The specific objectives were to: determine how the rating curve based on a 3D hydraulic model compares with conventional methods; investigate the impact of geometry uncertainty on estimated discharge when applied in a hydraulic model; and investigate how uncertainties in continuous observations of depth and width from satellite platforms propagate into uncertainties in river flow estimates using the rating curves obtained. The study shows comparable results between the 3D and traditional river rating discharge estimations. The rating curve derived on the basis of 3D hydraulic modelling was within a 95 % confidence interval of the traditional gauging based rating curve. The physics-based estimation requires determination of the roughness coefficient within the permanent bed and the floodplain using field observation as both the end of dry and wet season. Furthermore, the study demonstrates that variations in the density of GCPs beyond an optimal number (9) has no significant influence on the resultant rating relationships. Finally, the study observes that it depends on the magnitude of the flow which state variable approximation (water level & river width) is most promising to use. Combining stage appropriate proxies (water level when the floodplain is entirely filled, and width when the floodplain is filling) in data limited environments yields more accurate discharge estimations. The study was able to successfully apply low cost technologies for accurate river monitoring through hydraulic modelling. In future studies, a larger amount of in-situ gauge readings may be considered so as to optimise the validation process.
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来源期刊
Geoscientific Instrumentation Methods and Data Systems
Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
3.70
自引率
0.00%
发文量
23
审稿时长
37 weeks
期刊介绍: Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.
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