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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Developing a global database of contemporary sediment yield observationтезисы доклада
- Авторы: Tan F., Borrelli P., Verstraeten G., Tsyplenkov A., Campforts B., Golosov V., Lehner B., Poesen J., Vanmaercke M.
- Сборник: European Geosciences Union General Assembly 2022
- Тезисы
- Год издания: 2022
- Издательство: Copernicus GmbH on behalf of the European Geosciences Union
- Местоположение издательства: Germany
- Номер статьи: EGU22-11728
- Аннотация: For many decades, sediment yield (SY) observations have been collected around the world to analyze, monitor, and better understand the state and dynamics of various Earth system processes. These records are highly relevant for a wide variety of research applications, yet they remain poorly accessible, especially for large-scale studies. A main reason for this is the fact that many of these measurements are collected on an isolated basis, leading to inconsistencies across data sets. SY observations also suffer from large uncertainties in data quality: key factors such as location accuracy, sampling method and frequency, measuring period, and others vary greatly but are not systematically reported. To address these shortcomings and provide a standardized global reference for SY data, we are developing an extensive, coherent and georeferenced global database of contemporary SY observations. Through an extensive review of (grey) literature and contacts with numerous research groups, we already compiled SY observations for >8,000 catchments worldwide (comprising a total of >80,000 catchment years of observations). These observations are either derived from gauging station measurements or reservoir sedimentation rates. We assess the reliability of SY records and provide data quality indices based on available information such as measuring location, reported catchment area, sampling method and frequency, and measuring period. We further link the SY observations to the HydroSHEDS global river network, making them readily accessible and consistent with a wide array of hydro-environmental catchment variables also connected to the HydroSHEDS network. This new global SY database creates untouched opportunities for large-scale model development and statistical analyses of sediment-related factors and processes, such as soil erosion, sediment budgets, land cover and land use change impacts, or hydrological and sediment connectivity. Here we present a first overview of the data collected so far, its spatial patterns and its research potential.
- Добавил в систему: Голосов Валентин Николаевич