Suppr超能文献

在极端干旱时期,巴拉布尼塔水库中的叶绿素-a 浓度增加。

Increased chlorophyll-a concentration in Barra Bonita reservoir during extreme drought periods.

机构信息

Institute of Science and Technology, São Paulo State University, São José dos Campos, São Paulo, Brazil.

Institute of Science and Technology, São Paulo State University, São José dos Campos, São Paulo, Brazil.

出版信息

Sci Total Environ. 2022 Oct 15;843:157106. doi: 10.1016/j.scitotenv.2022.157106. Epub 2022 Jun 30.

Abstract

Climate projections models indicate that longer periods of droughts are expected within the next 100 years in various parts of South America. To understand the effects of longer periods of droughts on aquatic environments, we investigated the response of chlorophyll-a (Chl-a) concentration to recent severe drought events in the Barra Bonita Hydroelectric Reservoir (BBHR) in São Paulo State, Brazil. We used satellite imagery to estimate the Chl-a concentration from 2014 to 2020 using the Slope Index (NRMSE of 18.92% and bias of -0.20 mg m). Ancillary data such as precipitation, water level and air temperature from the same period were also used. Drought events were identified using the standardized precipitation index (SPI). In addition, we computed the probability of future drought events. Two periods showed extremely dry conditions: 1) January-February (2014) and 2) April-May (2020). Both periods were characterized by a recurrence probability of 1in every 50 years. The highest correlation was observed between Chl-a concentration and SPI (-0.97) in 2014, while Chl-a had had the highest correlation with water level (-0.59) in 2020. These results provide new insights into the influence of extreme drought events on the Chl-a concentration in the BBHR and their relationship with other climate variables and reservoir water levels. Drought events imply less rainfall, higher temperatures, and atmospheric dryness, and these factors affect evaporation and the water levels in the reservoir.

摘要

气候预测模型表明,在未来 100 年内,南美洲各地预计将出现更长时间的干旱期。为了了解长时间干旱对水生环境的影响,我们研究了巴雷拉博尼塔水力发电水库(BBHR)叶绿素 a(Chl-a)浓度对近期严重干旱事件的响应,该水库位于巴西圣保罗州。我们使用卫星图像,使用斜率指数(NRMSE 为 18.92%,偏差为-0.20 mg m)来估算 2014 年至 2020 年的 Chl-a 浓度。还使用了同期的降水、水位和气温等辅助数据。使用标准化降水指数(SPI)识别干旱事件。此外,我们计算了未来干旱事件的概率。两个时期都显示出极端干燥的条件:1)1 月至 2 月(2014 年)和 2)4 月至 5 月(2020 年)。这两个时期的重现概率均为每 50 年发生一次。在 2014 年,Chl-a 浓度与 SPI 之间的相关性最高(-0.97),而在 2020 年,Chl-a 与水位的相关性最高(-0.59)。这些结果为了解极端干旱事件对 BBHR 中 Chl-a 浓度的影响及其与其他气候变量和水库水位的关系提供了新的见解。干旱事件意味着降雨量减少、气温升高和大气干燥,这些因素会影响蒸发和水库水位。

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