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来自葡萄牙最大水库的水文气象数据集(2018 - 2023年):2个气象站分别位于水库岸边和中心。

Hydrometeorological dataset (2018-2023) from the largest Portuguese reservoir: 2 weather stations located at the shore and centre of the reservoir.

作者信息

Rodrigues Gonçalo, Purificação Carolina, Potes Miguel, João Costa Maria, Salgado Rui

机构信息

Institute of Earth Sciences-ICT (Polo de Évora), Earth Remote Sensing Laboratory (EaRSLab), Instituto de Investigação e Formação Avançada (IIFA) and Escola de Ciências e Tecnologia (ECT), Universidade de Évora, 7004-516 Évora, Portugal.

出版信息

Data Brief. 2024 Oct 10;57:111020. doi: 10.1016/j.dib.2024.111020. eCollection 2024 Dec.

DOI:10.1016/j.dib.2024.111020
PMID:39507600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11539513/
Abstract

The databases provided for two meteorological stations installed in the Alqueva reservoir (the largest artificial lake in Europe), one located on a floating platform and the other on the shore (approximately 1 km away in a straight line), cover a period of 6 years, from 2018 to 2023. The data available are, the hourly accumulated precipitation as well as the hourly averages of surface water temperature (0.25 m of depth), soil temperature, and meteorological parameters (wind intensity and direction, relative humidity, upward/downward solar radiation, air temperature, and relative humidity). Additionally, daily maximum and minimum values of the air temperature and relative humidity are provided, together with the time at which they were recorded. These data can potentially be used for various purposes, including hydrometeorological analysis, monitoring and assessing local environmental conditions, analysing local meteorological patterns, integrating or validating results from high-resolution numerical model simulations, or gaining a better understanding of changes in water quality or microalgae blooms in large reservoirs. The percentage of failures/gaps per parameter for each hour and day is provided to give users the flexibility to choose their own requirements regarding the maximum acceptable limit.

摘要

为阿尔克瓦水库(欧洲最大的人工湖)安装的两个气象站提供的数据涵盖了2018年至2023年的6年时间。这两个气象站,一个位于浮动平台上,另一个位于岸边(直线距离约1公里)。可用数据包括每小时累积降水量以及地表水温度(深度0.25米)、土壤温度和气象参数(风速和风向、相对湿度、向上/向下太阳辐射、气温和相对湿度)的每小时平均值。此外,还提供了气温和相对湿度的每日最高值和最低值以及记录时间。这些数据可潜在地用于各种目的,包括水文气象分析、监测和评估当地环境条件、分析当地气象模式、整合或验证高分辨率数值模型模拟的结果,或更好地了解大型水库水质变化或微藻水华情况。提供了每个小时和每天每个参数的故障/缺失百分比,以便用户能够灵活选择自己关于最大可接受限度的要求。

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The usefulness of ecotoxicological tools to improve the assessment of water bodies in a climate change reality.
Sci Total Environ. 2023 Nov 25;901:166392. doi: 10.1016/j.scitotenv.2023.166392. Epub 2023 Aug 18.
2
Occurrence and risk assessment of pesticides in a Mediterranean Basin with strong agricultural pressure (Guadiana Basin: Southern of Portugal).在一个农业压力很大的地中海盆地(瓜迪亚纳盆地:葡萄牙南部)中农药的发生和风险评估。
Sci Total Environ. 2021 Nov 10;794:148703. doi: 10.1016/j.scitotenv.2021.148703. Epub 2021 Jun 28.
3
Spatial and temporal dynamics of irrigation water quality under drought conditions in a large reservoir in Southern Portugal.葡萄牙南部大型水库干旱条件下灌溉水质的时空动态。
Environ Monit Assess. 2020 Jan 6;192(2):93. doi: 10.1007/s10661-019-8048-1.
4
Vertical distribution of benthic diatoms in a large reservoir (Alqueva, Southern Portugal) during thermal stratification.大型水库(葡萄牙南部阿尔奎瓦)分层期底栖硅藻的垂直分布。
Sci Total Environ. 2019 Apr 1;659:1242-1255. doi: 10.1016/j.scitotenv.2018.12.251. Epub 2018 Dec 24.