Dissemination and Exploitation of Regional Meteo-Hydrological Datasets through Web-based Interactive Applications: The SOL System Case Study

Pellegrini, Maurizio

doi:10.31586/ojes.2021.180

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The data acquired by the control units are stored in a database, which is managed by the Marche Region Civil Protection Service and then transferred to the SIRMIP (Meteo-Hydro-Pluviometric Regional Information System) database where data are processed, validated, and then made available online [ 30 ]. Data recorded by the control units represent the “current data”, whereas only the periodic (i.e., averaged over a given time period) data are transferred to the SIRMIP, where two types of data are available: original (unvalidated) and validated data.…”

Section: Methodsmentioning

confidence: 99%

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool

Paoletti

Pellegrini

Belli

et al. 2023

Sensors

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An aspect correlated with climate change is certainly represented by the alternation of severe floods and relevant drought periods. Moreover, there is evidence that changes in climate and land cover are inducing changes in stream channel cross-sections, altering local channel capacity. A direct consequence of a significant change in the local channel capacity is that the relationship between the amount of water flowing at a given point in a river or stream (usually at gauging stations) and the corresponding stage in that section, known as a stage–discharge relationship or rating curve, is changed. The key messages deriving from the present work are: (a) the more frequent and extreme the floods become, the more rapid the changes in the stream channel cross-section become, (b) from an operational point of view, the collection and processing of field measurements of the stage and corresponding discharge at a given section in order to quickly and frequently update the rating curve becomes a priority. It is, therefore, necessary to define a control system for acquiring hydrological data capable of keeping river levels and discharges under control to support flood early warnings and water management. The proposed stage–discharge management system is used by the Civil Protection Service of the Marche Region (east-central Italy) for the monitoring of river runoff in the regional watersheds. The Civil Protection Service staff performs stage–discharge field measurements using water level sensors and recorders (e.g., staff gauges, submersible pressure transducers, ultrasound and radar sensors) and a current meter, acoustic doppler velocimeter, acoustic doppler current profilers, portable mobile radar profiler and salt dilution method equipment, respectively. Power functions are fitted to the stage–discharge field data. Furthermore, extrapolation is performed to cover the full range of flow measurements; in general, extrapolation is not an easy task because of sharp changes in the stream cross-section geometry for very high or very low stages. In the present work, we also focused attention on the application problems that occur in practice and the need for frequent updating.

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Section: Methodsmentioning

confidence: 99%

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool

Paoletti

Pellegrini

Belli

et al. 2023

Sensors

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“…Furthermore, maximum rainfall intensity data coming from the regional meteorological and hydrological monitoring network (SIRMIP) and measured every 15 minutes, confirm that on 2021-7-19 at 1:30 UTC the only measured values greater than 0 mm per minute are related to rain gauges located in the South of Marche region. SIRMIP is managed by Marche Region Civil Protection Service [14] making data freely available through the SIRMIP on-line (SOL) web application at http://app.protezionecivile.marche.it/sol [15].…”

Section: Cingoli Radar Data Processing Chainmentioning

confidence: 99%

Open-Source Data Processing Chain for Marche Region X-band Weather Radar

Iocca

Lazzeri

Pellegrini

2023

J. Electron. Electric. Eng.

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In the framework of three projects co-funded by the European Union (EU), an X-band (8-12 GHz frequency range) polarimetric radar was installed in the Marche Region territory (East-Central Italy) at Cingoli municipality, province of Macerata. The radar site is located at about 750 m above sea level and about 30 km away from the Adriatic Sea. The radar, managed by the Marche Region Civil Protection Service, is employed for weather monitoring purposes and is in pre-operational stage. It is known that radar measurements are affected by various sources of error, to be addressed in order to improve the accuracy of final products. Among these, the most important are radar calibration, ground and sea clutter, beam blockage, rain attenuation, wet-radome attenuation, beam-broadening, non-uniform beam filling, vertical variability of precipitation and wireless local-area-network (WLAN) interferences. Nowadays quantitative rainfall estimation using X-band weather radar are essential to meet requirements for flood forecasting, water management and many hydro-meteorological applications. Besides higher resolution, X-band radars are cost-effective compared to S- or C-band radars because of smaller antenna size. On the other hand, main disadvantages of such systems are the large influence of attenuation by liquid water and a relatively short range. In this work, we will present the data-processing chain developed ad hoc in order to remove or at least reduce the sources of error affecting Cingoli radar data. The performance of the data-processing chain was evaluated in the light of case studies related to meteorological events that interested Marche region territory in the last two years. The software was developed using open source technology. The current version of the chain does not take into account the echoes from sea clutter and the attenuation due to wet radome that can be significant at X-band; such issues will be addressed in a future work.

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Dissemination and Exploitation of Regional Meteo-Hydrological Datasets through Web-based Interactive Applications: The SOL System Case Study

Cited by 2 publications

References 8 publications

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool

Open-Source Data Processing Chain for Marche Region X-band Weather Radar

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