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Sensing in shallow water: Educatcrs prove advantages of wireless platform for environmental data acquisition in shallow water areas

机译:浅水感应:教育证明了无线平台在浅水区环境数据采集中的优势

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City, state, and government agencies concerned with-water quality measurements have used temperature, pH, conductivity, and dissolved oxygen sensors in the past, but with limited success, especially in shallow waters. Water quality data collection in shallow water areas can be a challenge because it normally requires setting up sensors in several places, plus it is redundant and time consuming. Performing the task manually also has a high chance of disturbing the test area. Large territories and inaccessible areas present difficulties due to a soft bottom or contamination. There is a high probability of disturbing the test area while placing the sensors. In the San Joaquin River Basin in California, for instance, a real-time water quality forecasting model helped improve the management of saline agricultural and wetland drainage to meet water quality objectives. To help alleviate some of the challenges in the South Texas Coastal waters, the instrumentation and software systems of a NASA-funded project led to development of a remotely-controlled, shallow-draft vehicle. The system wirelessly transmits environmental data to a docking and control station in real time.
机译:过去,与水质测量相关的城市,州和政府机构已经使用温度,pH,电导率和溶解氧传感器,但取得的成功有限,尤其是在浅水区。浅水区的水质数据收集可能是一个挑战,因为它通常需要在多个位置设置传感器,而且这是多余且耗时的。手动执行任务也很有可能干扰测试区域。大面积领土和人迹罕至的地区由于软底或污染而造成困难。放置传感器时很可能会干扰测试区域。例如,在加利福尼亚州的圣华金河流域,实时水质预测模型有助于改善盐碱农业和湿地排水的管理,以达到水质目标。为了缓解南德克萨斯州沿海水域的某些挑战,由美国国家航空航天局(NASA)资助的项目的仪器和软件系统促成了远程遥控浅草飞行器的开发。该系统将环境数据实时无线传输到对接和控制站。

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