Areal rainfall estimation using moving cars – computer experiments
including hydrological modeling

Rabiei, Ehsan; Haberlandt, Uwe; Sester, Monika; Fitzner, Daniel; Wallner, Markus

doi:10.5194/hess-20-3907-2016

Cited by 26 publications

(14 citation statements)

References 20 publications

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“…UAV should be applied in the field of hydrological information acquisition because of their flexibility, simplicity, and speed, especially in relation to river discharges. Previous studies have shown that many rough observations may result in better data compared with few accurate experiments [68,69]. UAV, as a kind of low-cost equipment, can obtain information simply and quickly.…”

Section: Leading Role Of Uav Remote Sensing and Its Limitationsmentioning

confidence: 99%

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Yang

Wang

Lou

et al. 2019

Water

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River discharge is of great significance in the development of water resources and ecological protection. There are several large ungauged catchments around the word still lacking sufficient hydrological data. Obtaining accurate hydrological information from these areas is an important scientific issue. New data and methods must be used to address this issue. In this study, a new method that couples unmanned aerial vehicle (UAV) data with the classical slope–area method is developed to calculate river discharges in typical ungauged catchments. UAV data is used to obtain topographic information of the river channels. In situ experiments are carried out to validate the river data. Based on slope–area method, namely the Manning–Strickler formula (M–S), Saint-Venant system of equivalence (which has two definitions, S-V-1 and S-V-2), and the Darcy–Weisbach equivalence (D–W) are used to estimate river discharge in ten sections of the Tibet Plateau and Dzungaria Basin. Results show that the overall qualification rate of the calculated discharge is 70% and the average Nash–Sutcliffe efficiency coefficient is 0.97, indicating strong practical application in the study area. When the discharge is less than 10 m3⁄s, D–W is the most appropriate method; M–S and S-V-1 are better than other methods when the discharge is between 10 m3⁄s and 50 m3⁄s. However, if the discharge is greater than 50 m3⁄s, S-V-2 provides the most accurate results. Furthermore, we found that hydraulic radius is an important parameter in the slope–area method. This study offers a quick and convenient solution to extract hydrological information in ungauged catchments.

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Section: Leading Role Of Uav Remote Sensing and Its Limitationsmentioning

confidence: 99%

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Yang

Wang

Lou

et al. 2019

Water

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“…Resorting to inexpensive commercial products has stimulated scientists' inventive capabilities, thus leading to unintended electronics being used as hydrological sensors. For instance, precipitation has been measured with moving cars (Rabiei et al 2016) and accelerometers (Stewart et al 2012), and water levels have been monitored with game-console remote controls (Hut et al 2010). These research activities have facilitated the acquisition of hydrological data and have also paved the way for the implementation of public and collaborative sensing platforms (for instance, Crowd Hydrology, OPEnS Lab and others).…”

Section: Introductionmentioning

confidence: 99%

Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle

Tauro

Selker

Giesen

et al. 2018

Hydrological Sciences Journal

Self Cite

179

142

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To promote the advancement of novel observation techniques that may lead to new sources of information to help better understand the hydrological cycle, the International Association of Hydrological Sciences (IAHS) established the Measurements and Observations in the XXI century (MOXXI) Working Group in July 2013. The group comprises a growing community of techenthusiastic hydrologists that design and develop their own sensing systems, adopt a multidisciplinary perspective in tackling complex observations, often use low-cost equipment intended for other applications to build innovative sensors, or perform opportunistic measurements. This paper states the objectives of the group and reviews major advances carried out by MOXXI members toward the advancement of hydrological sciences. Challenges and opportunities are outlined to provide strategic guidance for advancement of measurement, and thus discovery.

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“…A larger-scale example includes the Community Collaborative Rain, Hail, and Snow Network in the USA, (https://www.cocorahs.org/), which receive approximately 20 000 daily rain-gauge reports from citizen scientists across North America (Reges et al, 2016). In a particularly novel application of exploiting existing networks of data, Rabiei et al (2016) inferred rainfall by utilizing a vehicles GPS location together with sensors attached to the cars windscreen wipers. Many late-model vehicles employ infrared (or optical) sensors to determine rainfall intensity in order to automatically adjust the wiper rate, offering the possibility of providing distributed records of rainfall: albeit limited to the road network.…”

Section: Mobile Phones and Citizen Sciencementioning

confidence: 99%

The future of Earth observation in hydrology

McCabe

Rodell

Alsdorf

et al. 2017

Hydrol. Earth Syst. Sci.

372

279

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Abstract. In just the past 5 years, the field of Earth observation has progressed beyond the offerings of conventional space-agency-based platforms to include a plethora of sensing opportunities afforded by CubeSats, unmanned aerial vehicles (UAVs), and smartphone technologies that are being embraced by both for-profit companies and individual researchers. Over the previous decades, space agency efforts have brought forth well-known and immensely useful satellites such as the Landsat series and the Gravity Research and Climate Experiment (GRACE) system, with costs typically of the order of 1 billion dollars per satellite and with concept-to-launch timelines of the order of 2 decades (for new missions). More recently, the proliferation of smartphones has helped to miniaturize sensors and energy requirements, facilitating advances in the use of CubeSats that can be launched by the dozens, while providing ultra-high (3-5 m) resolution sensing of the Earth on a daily basis. Startup companies that did not exist a decade ago now operate more satellites in orbit than any space agency, and at costs that are a mere fraction of traditional satellite missions.With these advances come new space-borne measurements, such as real-time high-definition video for tracking air pollution, storm-cell development, flood propagation, precipitation monitoring, or even for constructing digital surfaces using structure-from-motion techniques. Closer to the surface, measurements from small unmanned drones and tethered balloons have mapped snow depths, floods, and estimated evaporation at sub-metre resolutions, pushing back on spatio-temporal constraints and delivering new process insights. At ground level, precipitation has been measured using signal attenuation between antennae mounted on cell phone towers, while the proliferation of mobile devices has enabled citizen scientists to catalogue photos of environmental conditions, estimate daily average temperatures from battery state, and sense other hydrologically important variables such as channel depths using commercially available wireless devices. Global internet access is being pursued via highaltitude balloons, solar planes, and hundreds of planned satellite launches, providing a means to exploit the "internet of things" as an entirely new measurement domain. Such globalPublished by Copernicus Publications on behalf of the European Geosciences Union. The future of Earth observation in hydrology access will enable real-time collection of data from billions of smartphones or from remote research platforms. This future will produce petabytes of data that can only be accessed via cloud storage and will require new analytical approaches to interpret. The extent to which today's hydrologic models can usefully ingest such massive data volumes is unclear. Nor is it clear whether this deluge of data will be usefully exploited, either because the measurements are superfluous, inconsistent, not accurate enough, or simply because we lack the capacity to process and analyse them. What is apparen...

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Areal rainfall estimation using moving cars – computer experiments including hydrological modeling

Cited by 26 publications

References 20 publications

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle

The future of Earth observation in hydrology

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