SED-RUNS · Soil Erosion under extreme rainfall events: Detecting and modelling using a Radar-Runoff-Nowcasting-System
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2022-04-01 → 2024-03-31
- Финансиране от ЕС
- 171 473 €
- Участници
- 1
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Ерозията на почвата при екстремни валежи в Тоскана се анализира чрез радарно наблюдение и хидрологични модели. Разбирането на този процес помага за намаляване на рисковете от щети по посевките и подобряване на системите за предупреждение.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Soil Erosion under extreme rainfall events: Detecting and modelling using a Radar-Runoff-Nowcasting-System
Soil erosion by water is one of the most widespread forms of soil degradation in Europe. In the current context of global change, a consistent increasing of erosion is expected, principally due to a greater frequency of extreme, localized rainfall events, as predicted by recent climate models. Accelerated erosion, leading to a general degradation of the environment, depletion of soil nutrients, and agricultural areas exploitation, has become a central topic in the environmental research. These extremes, responsible of dramatic erosion, especially in cultivated areas, have become a real challenge for agriculture and society itself. This has socio-economic repercussions due to the economic loss for damage of crops when they are affected. Awareness of the process and its extent could help stakeholders to define strategies to reduce erosion risk on a spatial dimension that is seldom considered. From society's point of view, communication of the effects during extreme events could help to increase understanding of the risk itself and improve confidence in scientific and technical resources to help people. Focusing on a Mediterranean region, where these phenomena exist producing muddy floods and catastrophic erosion, this project aims to understand and quantify the effect of extreme rainfall by ground-radar rainfall monitoring and hydrological modelling at regional scale (Tuscany, IT). An integrated modelling approach is developed for a nowcasting-modelling-platform for runoff and soil erosion as support for warning-systems. A relevant component in examining the effects of extreme rainfall is spatial distribution of the process. For instance, showers generally have a limited spatial extent which take place in a time spanning from few minutes to a half hour. While this dynamic is predominantly responsible for catastrophic events, it is frequently neglected in hydrological and soil erosion modelling because of missing spatial information for precipitation events. To ensure an accurate monitoring of the rainfall events, in this study, we adopted weather ground-radar, one of the most efficient methodologies. The main objective was to model the extreme rainfall events for erosion over the last 10 years with a particular interest directed at the spatial distribution of rainfall events.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Soil erosion by water is one of the most widespread forms of soil degradation in Europe which annual cost for agricultural productivity loss is estimated to be around €295 million. Under global change soil erosion due to rainfall is dramatically increasing, for the most part because of an increasing of the frequency of extreme, localised events.This project aims to understand and quantify this effect using ground-radar rainfall monitoring and hydrological modelling at regional scale (Tuscany region, Centre Italy). In hydrological phenomena, such as intense surface runoff, flooding, and soil erosion, the spatiotemporal extent plays a crucial role in the development of the processes. This component defines the impact and the evolution of the phenomenon, especially in extreme rainfall events. Therefore, an approach directed to refine as much as possible the knowledge of these dynamics is recommended both for monitoring and modelling level.Using an approach based on statistical analysis of ground-radar rainfall data and modelling, this project aims to: 1) quantify on historical data the spatiotemporal distribution of extreme rainfalls / runoff and soil erosion over the last 10 years, 2) build a platform to model runoff and soil erosion in the extreme events in real-time, 3) acquire data for calibration/validation of the model and implement new methods for monitoring, 4) simulate in real-time runoff and soil erosion issue of extreme rainfalls integrating the current regional-warning-system for extreme climatic events.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITA DEGLI STUDI DI FIRENZE · FlorenceКоординаторИталия
Връзки
Данни: CORDIS, © Европейски съюз
