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КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
H2020Обмен на изследователи2016–2022

HiFreq · Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2016-12-01 → 2022-02-28
Финансиране от ЕС
2 115 000 €
Участници
24
Схема
MSCA-RISE

Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.

Накратко на български

Високочестотните сензорни мрежи изследват бързи и непредвидими промени в екосистемите, като например динамиката на водните процеси. Това помага за по-доброто разбиране и прогнозиране на реакциите на природата при глобални климатични промени.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales

Regulators and industries are challenged by the difficulty to analyse and predict the impact of nonlinear environmental processes on short-term and long-term responses of ecosystems to environmental change. Until very recently, the development of conventional monitoring, forecasting and prediction tools has been based on the assumption of stationary environmental systems. In the context of global change, these tools are increasingly pushed towards and even beyond their design limits. This project follows the rationale that only novel, high-frequency/high-resolution monitoring and predictive modelling will yield new process understanding of ecosystem functioning. Technological progress offers as many opportunities as it triggers challenges: what are needed now are new strategies to generate, manage and analyse BIG DATA at unprecedented spatial and temporal resolution. Innovation can only stand as a synonym for ‘significant positive changes’ if [a] we manage to clearly state the challenges (global change & non-stationarity) and problems (generating and managing high-frequency information) and [b] transform them into solutions. The timely outcomes of this project will hence be of great relevance for the scientific community, regulators, and the private sector. The key aim of HiFreq project is to drive innovation in high-frequency environmental sensor network technologies and modelling, in particular, to quantify non-linear process dynamics in ecohydrological, biogeochemical and ecosystem monitoring. The wide-ranging activities of the action led not only to innovation in sensor and monitoring technologies but also support conclusions about the applicability of new sensor networks in operational contexts as well as the BIG DATA challenges going along with the development of large data quantities and their analysis. Solutions developed in this action particularly advance our ability to sense water pollution in-situ at higher frequency and accuracy than previously possible. Data science solutions include edge-processing algorithms for data reduction before transmission.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Regulators and industries are challenged by the difficulty to analyse and predict the impact of nonlinear environmental processes on short-term and long-term responses of ecosystems to environmental change. Until very recently, the development of most conventional monitoring, forecasting and prediction tools has been based on the assumption of stationary environmental systems. In the context of global change these tools are increasingly pushed towards and even beyond their design limits (the latter resulting in the first line from the prevailing limitations in spatial and temporal resolution of environmental observations).For this project, we propose a rationale stating that only novel, high-frequency/high-resolution environmental monitoring and predictive modelling will yield new process understanding of ecosystem functioning. Technological progress offers as many opportunities as it triggers challenges: what is needed now are new strategies to generate, manage and analyse BIG DATA at unprecedented spatial and temporal resolution. Innovation can only stand as a synonym for ‘significant positive changes’ if [a] we manage to clearly state the challenges (global change & non-stationarity) and problems (generating and managing high-frequency information) and [b] transform them into solutions, i.e. the quantification and prediction of environmental responses to global change as a prerequisite for designing and implementing adaptation and/or mitigation strategies wherever needed.The timely outcomes of this research project will hence be of great relevance for the scientific community, regulatory agencies, and the private sector.

Оригинален текст от CORDIS (на английски).

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Връзки

Данни: CORDIS, © Европейски съюз