HydroMet: Deployment of a large scale nationwide hydrometeorological sensor network for flood warning and monitoring

Retamar, Alvin E.; Guba, Gerwin; Lopez, Glenn Vincent; Paler, Harold Bryan; Javier, Joven C.; Garcia, Felan Carlo C.; Badong-Carlos, Jeanette; Capito, Jericho; Mosquera, Ian C.; Paz, Marjon de; Yabut, Jasmin Jane

doi:10.1109/ghtc.2017.8239323

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Retamar et al [23] investigated hydrometeorological early warning systems. They developed the Automated Rain Gauge (ARG) to measure rainfall, the Automated Water Level Monitoring Station (WLMS) to measure level increase, particularly in rivers, and the TANDEM Station, which combines the ARG and WLMS functions.…”

Section: Hydrometeorological Hazard Early Warning Prototypementioning

confidence: 99%

Hydrometeorological hazard detection and warning for risk reduction in West Java, Indonesia

Tejakusuma¹,

Sittadewi²,

Fitriani³

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Climate-related disasters, including hydrometeorological disasters, have increased over the last decade, accounting for more than 90% of all-natural disasters in Indonesia. To reduce the risk of disaster, the hydrometeorological disaster must be mitigated. The research, carried out at Sukakerti and Tugumukti villages in West Java, aimed at assessing flash flood disaster conditions and designing hydrometeorological disaster early warning instrumentation for community preparedness. Sukakerti Village has a V-shaped river valley and winding primary and secondary forest morphology. Rainfall-caused landslides precede flash floods. Tugumukti village is characterized by undulating hills and is situated directly on a small river flowing from Mount Burangrang. The river that caused the flash flood is only a few tens of meters wide, but settlements have sprung up all around it. Drought affects agricultural activities during the dry season. Hydrometeorological early warning instrumentation for landslides, flash floods, and agricultural droughts comprises radio communication between field devices and routers and a remote data center. Humidity, temperature, solar radiation, wind speed and direction, rainfall, soil moisture, slope, and ground vibration are all sensors. A speaker on the router warns the public of a potential disaster. This technology outperforms GSM and satellite communications in terms of cost, operation, and maintenance.

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Section: Hydrometeorological Hazard Early Warning Prototypementioning

confidence: 99%

Hydrometeorological hazard detection and warning for risk reduction in West Java, Indonesia

Tejakusuma¹,

Sittadewi²,

Fitriani³

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…The data formats of different sensors are often incompatible, complicating data processing [ 10 ]. Thus, Retamar et al [ 11 ] highlight that the sharing, the exchange and the interoperability of environmental information, individual data, or boundary information constitute the basis for an in-depth knowledge of a territory. Hossain et al [ 12 ] argue that data should not be captive by its producers but need to be freely accessible while Shadbolt et al [ 13 ] explain that knowledge [ 14 ] and new services can be drown from data.…”

Section: Introductionmentioning

confidence: 99%

CEBA: A Data Lake for Data Sharing and Environmental Monitoring

Sarramia

Claude

Ogereau

et al. 2022

Sensors

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This article presents a platform for environmental data named “Environmental Cloud for the Benefit of Agriculture” (CEBA). The CEBA should fill the gap of a regional institutional platform to share, search, store and visualize heterogeneous scientific data related to the environment and agricultural researches. One of the main features of this tool is its ease of use and the accessibility of all types of data. To answer the question of data description, a scientific consensus has been established around the qualification of data with at least the information “when” (time), “where” (geographical coordinates) and “what” (metadata). The development of an on-premise solution using the data lake concept to provide a cloud service for end-users with institutional authentication and for open data access has been completed. Compared to other platforms, CEBA fully supports the management of geographic coordinates at every stage of data management. A comprehensive JavaScript Objet Notation (JSON) architecture has been designed, among other things, to facilitate multi-stage data enrichment. Data from the wireless network are queried and accessed in near real-time, using a distributed JSON-based search engine.

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“…However, the specific needs of research in the environmental field are above all linked to: (i) the collection of high-frequency data that are not readily available in commercial instruments, (ii) the possibility of changing the acquisition frequency, (iii) continuously improving performance, and (iv) a data processing software and inoperability that commercial tools offer only in some cases and with high costs [7]. Furthermore, the sharing and the interoperability of environmental information, individual data, or boundary information constitute the basis for an in-depth knowledge of a territory, with its peculiarities and criticalities and therefore of its potential for sustainable, eco-compatible, deep, and lasting development in time [8]. Good data stewardship is essential to maximize data access and reuse, and to ensure reproducibility in plant sciences as indicated by FAIR (Findability, Accessibility, Interoperability, and Reusability) principles [9].…”

Section: Introductionmentioning

confidence: 99%

Meteo-Hydrological Sensors within the Lake Maggiore Catchment: System Establishment, Functioning and Data Validation

Ciampittiello

Manca

Dresti

et al. 2021

Sensors

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Climate change and human activities have a strong impact on lakes and their catchments, so to understand ongoing processes it is fundamental to monitor environmental variables with a spatially well-distributed and high frequency network and efficiently share data. An effective sharing and interoperability of environmental information between technician and end-user fosters an in-depth knowledge of the territory and its critical environmental issues. In this paper, we present the approaches and the results obtained during the PITAGORA project (Interoperable Technological Platform for Acquisition, Management and Organization of Environmental data, related to the lake basin). PITAGORA was aimed at developing both instruments and data management, including pre-processing and quality control of raw data to ensure that data are findable, accessible, interoperable, and reusable (FAIR principles). The main results show that the developed instrumentation is low-cost, easily implementable and reliable, and can be applied to the measurement of diverse environmental parameters such as meteorological, hydrological, physico-chemical, and geological. The flexibility of the solutions proposed make our system adaptable to different monitoring purposes, research, management, and civil protection. The real time access to environmental information can improve management of a territory and ecosystems, safety of the population, and sustainable socio-economic development.

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HydroMet: Deployment of a large scale nationwide hydrometeorological sensor network for flood warning and monitoring

Cited by 8 publications

References 4 publications

Hydrometeorological hazard detection and warning for risk reduction in West Java, Indonesia

Hydrometeorological hazard detection and warning for risk reduction in West Java, Indonesia

CEBA: A Data Lake for Data Sharing and Environmental Monitoring

Meteo-Hydrological Sensors within the Lake Maggiore Catchment: System Establishment, Functioning and Data Validation

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