Suppr超能文献

来自热带安第斯山脉源头集水区网络的高分辨率水文气象数据。

High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes.

作者信息

Ochoa-Tocachi Boris F, Buytaert Wouter, Antiporta Javier, Acosta Luis, Bardales Juan D, Célleri Rolando, Crespo Patricio, Fuentes Paola, Gil-Ríos Junior, Guallpa Mario, Llerena Carlos, Olaya Dimas, Pardo Pablo, Rojas Gerver, Villacís Marcos, Villazón Mauricio, Viñas Paúl, De Bièvre Bert

机构信息

Imperial College London, Department of Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London SW7 2AZ, UK.

Regional Initiative for Hydrological Monitoring of Andean Ecosystems (iMHEA), Lima 15024, Peru.

出版信息

Sci Data. 2018 Jul 3;5:180080. doi: 10.1038/sdata.2018.80.

Abstract

This article presents a hydrometeorological dataset from a network of paired instrumented catchments, obtained by participatory monitoring through a partnership of academic and non-governmental institutions. The network consists of 28 headwater catchments (<20 km) covering three major biomes in 9 locations of the tropical Andes. The data consist of precipitation event records at 0.254 mm resolution or finer, water level and streamflow time series at 5 min intervals, data aggregations at hourly and daily scale, a set of hydrological indices derived from the daily time series, and catchment physiographic descriptors. The catchment network is designed to characterise the impacts of land-use and watershed interventions on the catchment hydrological response, with each catchment representing a typical land use and land cover practice within its location. As such, it aims to support evidence-based decision making on land management, in particular evaluating the effectiveness of catchment interventions, for which hydrometeorological data scarcity is a major bottleneck. The data will also be useful for broader research on Andean ecosystems, and their hydrology and meteorology.

摘要

本文展示了一个来自成对仪器化集水区网络的水文气象数据集,该数据集通过学术机构和非政府机构的合作进行参与式监测获得。该网络由28个源头集水区(<20公里)组成,覆盖热带安第斯山脉9个地点的三个主要生物群落。数据包括分辨率为0.254毫米或更精细的降水事件记录、5分钟间隔的水位和流量时间序列、每小时和每日尺度的数据汇总、从每日时间序列得出的一组水文指数,以及集水区地貌描述符。集水区网络旨在表征土地利用和流域干预对集水区水文响应的影响,每个集水区代表其所在位置的一种典型土地利用和土地覆盖类型。因此,它旨在支持基于证据的土地管理决策,特别是评估集水区干预措施的有效性,而水文气象数据稀缺是这方面的一个主要瓶颈。这些数据对于安第斯生态系统及其水文和气象的更广泛研究也将是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/018a/6029571/1701b9fa2ed7/sdata201880-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验