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A system for environmental monitoring of hydroelectric reservoirs in Brazil

机译:巴西水电水库环境监测系统

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Environmental monitoring of aquatic systems is an important tool to support policy makers and environmental managers' decisions. Long-term, continuous collection of environmental data is fundamental to the understanding of an aquatic system. This paper aims to present the integrated system for environmental monitoring (SIMA), a long-term temporal series system with a web-based archive for limnological and meteorological data. The following environmental parameters are measured by SIMA: chlorophyll-a (μgL-1), water surface temperature (oC), water column temperature by a thermistor string (oC), turbidity (NTU), pH, dissolved oxygen concentration (mg L-1), electric conductivity (μS cm-1), wind speed (ms-1) and direction (o), relative humidity (%), shortwave radiation (Wm-2) and barometric pressure (hPa). The data were collected in a preprogrammed time interval (1 hour) and were transmitted by satellite in quasi-real time for any user within 2500 km of the acquisition point. So far, 11 hydroelectric reservoirs are being monitored with the SIMA buoy. Basic statistics (mean and standard deviation) and an example of the temporal series of some parameters were displayed at a database with web access. However, sensor and satellite problems occurred due to the high data acquisition frequency. Sensors problems occurred due to the environmental characteristics of each aquatic system. Water quality sensors rapidly degrade in acidic waters, rendering the collected data invalid. Data is also rendered invalid when sensors become infested with periphyton. Problems occur with the satellites' reception of system data when satellites pass over the buoy antenna. However, the data transfer at some inland locations was not completed due to the satellite constellation position. Nevertheless, the integrated system of water quality and meteorological parameters is an important tool in understanding the aquatic system dynamic. It can also be used to create hydrodynamics models of the aquatic system to allow for the study of meteorological implications to the water body.
机译:水生系统的环境监测是支持决策者和环境管理者决策的重要工具。长期连续收集环境数据对于了解水生系统至关重要。本文旨在介绍环境监测综合系统(SIMA),这是一个长期时间序列系统,具有基于网络的气象和气象数据存档。通过SIMA测量以下环境参数:叶绿素a(μgL-1),水表面温度(oC),热敏电阻串(oC)的水柱温度,浊度(NTU),pH,溶解氧浓度(mg L- 1),电导率(μScm-1),风速(ms-1)和方向(o),相对湿度(%),短波辐射(Wm-2)和大气压力(hPa)。数据是在预先设定的时间间隔(1小时)内收集的,并通过卫星实时准时发送给距采集点2500 km之内的任何用户。到目前为止,正在用SIMA浮标监测11个水力发电库。基本统计信息(均值和标准差)和一些参数的时间序列示例在具有Web访问权限的数据库中显示。但是,由于数据采集频率高,因此出现了传感器和卫星问题。由于每个水生系统的环境特征,传感器出现了问题。水质传感器在酸性水中会迅速降解,从而使收集的数据无效。当传感器被周围植物感染时,数据也会变得无效。当卫星经过浮标天线时,卫星接收系统数据会出现问题。但是,由于卫星星座的位置,某些内陆位置的数据传输未完成。然而,水质和气象参数的综合系统是了解水生系统动态的重要工具。它也可以用于创建水生系统的水动力学模型,以研究对水体的气象影响。

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