Sensor-Equipped Unmanned Surface Vehicle for High-Resolution Mapping of Water Quality in Low- to Mid-Order Streams

Sensor-Equipped Unmanned Surface Vehicle for High-Resolution Mapping of Water Quality in Low- to Mid-Order Streams
复制标题

配备传感器的无人地面车辆,用于低阶到中阶河流水质的高分辨率测绘

DOI:
10.1021/acsestwater.1c00342
复制
发表时间:
2022
期刊:
ACS ES&T Water
影响因子:
--
通讯作者:
Jason K. Richards
Jason K. Richards
中科院分区:
--
文献类型:
--
作者:
N. Griffiths;P. S. Levi;J. Riggs;C. Derolph;Allison M. Fortner;Jason K. Richards

文献摘要

参考文献

被引文献

相似文献

通过部署船上的传感器对水质进行纵向剖面分析,提高了对大型河流和湖泊空间格局的理解;然而,在低阶到中阶流中缺乏类似的方法。为了填补这一空白,我们开发了一种无人水面车辆(USV)-水质测量平台(“AquaBOT”)。AquaBOT的组件包括硝酸盐传感器、多参数探空仪(温度、电导率、浊度、溶解氧、叶绿素)、量子传感器和安装在小型浮筒式USV上的全球定位系统(GPS)。AquaBOT在爱荷华州和田纳西州的四条溪流和河流中进行了测试。所有测量的水质参数在纵向上都有变化,在爱荷华州受农业影响的低阶溪流中,通常观察到的范围更大。特别是硝酸盐,具有空间异质性。例如,在6月初的一次测试中,在2.3公里的范围内,氮浓度在10.5至12.5毫克之间,在一些瓷砖排水沟的直接下游观察到热点。6月份采集的AquaBOT数据的空间分辨率比grab采样数据高10倍,并且在更短的时间内以相当的成本进行了测量。AquaBOT可以补充现有的测量方法,并将在理解沿着溪流到河流连续体驱动水质的过程方面取得进展。
Longitudinal profiling of water quality via the deployment of sensors from watercraft has advanced the understanding of spatial patterns in large rivers and lakes; however, a similar approach in low- to mid-order streams is lacking. To fill this gap, we developed an unmanned surface vehicle (USV)-water quality measurement platform (the “AquaBOT”). The components of the AquaBOT included a nitrate sensor, multiparameter sonde (temperature, conductivity, turbidity, dissolved oxygen, chlorophyll), quantum sensor, and global positioning system (GPS) mounted to a small pontoon-style USV. The AquaBOT was tested in four streams and rivers in Iowa and Tennessee. All measured water quality parameters varied longitudinally, and greater ranges were generally observed along the low-order, agriculturally influenced streams in Iowa. Nitrate, in particular, was spatially heterogeneous. For example, during one run in early June, concentrations ranged from 10.5 to 12.5 mg N L–1along a 2.3 km reach and hotspots were observed directly downstream of some tile drains. The spatial resolution of AquaBOT data collected in June was 10× higher than grab sampling data, and measurements were collected in less time and at a comparable cost. The AquaBOT can complement existing measurement approaches and will lead to advancements in understanding the processes driving water quality along the stream-to-river continuum.
DOI: 10.1021/acs.est.6b02155
发表时间: 2016-10-04
影响因子: 11.4
作者:
Rode, Michael;Wade, Andrew J.;Jomaa, Seifeddine
通讯作者: Jomaa, Seifeddine