Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/lom3.10377 |
Introducing theSelf-Cleaning FiLtrAtionforWater quaLity SenSors(SC-FLAWLeSS) system | |
Khandelwal, Aashish; Gonzalez-Pinzon, Ricardo; Regier, Peter; Nichols, Justin; Van Horn, David J. | |
通讯作者 | Gonzalez-Pinzon, R |
来源期刊 | LIMNOLOGY AND OCEANOGRAPHY-METHODS
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ISSN | 1541-5856 |
出版年 | 2020 |
卷号 | 18期号:9页码:467-476 |
英文摘要 | Sensor-based, semicontinuous observations of water quality parameters have become critical to understanding how changes in land use, management, and rainfall-runoff processes impact water quality at diurnal to multidecadal scales. While some commercially available water quality sensors function adequately under a range of turbidity conditions, other instruments, including those used to measure nutrient concentrations, cease to function in high turbidity waters (> 100 nephelometric turbidity units [NTU]) commonly found in large rivers, arid-land rivers, and coastal areas. This is particularly true during storm events, when increases in turbidity are often concurrent with increases in nutrient transport. Here, we present the development and validation of a system that can affordably provide Self-Cleaning FiLtrAtion for Water quaLity SenSors (SC-FLAWLeSS), and enables long-term, semicontinuous data collection in highly turbid waters. The SC-FLAWLeSS system features a three-step filtration process where: (1) a coarse screen at the inlet removes particles with diameter > 397 mu m, (2) a settling tank precipitates and then removes particles with diameters between 10 and 397 mu m, and (3) a self-cleaning, low-cost, hollow fiber membrane technology removes particles >= 0.2 mu m. We tested the SC-FLAWLeSS system by measuring nitrate sensor data loss during controlled, serial sediment additions in the laboratory and validated it by monitoring soluble phosphate concentrations in the arid Rio Grande river (New Mexico, U.S.A.), at hourly sampling resolution. Our data demonstrate that the system can resolve turbidity-related interference issues faced by in situ optical and wet chemistry sensors, even at turbidity levels > 10,000 NTU. |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000547181300001 |
WOS关键词 | WATER-QUALITY ; INORGANIC NITROGEN ; PHOSPHORUS UPTAKE ; SENSORS ; FLUORESCENCE ; TURBIDITY ; NITRATE ; RIVERS ; TEMPERATURE ; DYNAMICS |
WOS类目 | Limnology ; Oceanography |
WOS研究方向 | Marine & Freshwater Biology ; Oceanography |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/324993 |
作者单位 | [Khandelwal, Aashish; Gonzalez-Pinzon, Ricardo; Regier, Peter; Nichols, Justin] Univ New Mexico, Dept Civil Construct & Environm Engn, Albuquerque, NM 87131 USA; [Van Horn, David J.] Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA |
推荐引用方式 GB/T 7714 | Khandelwal, Aashish,Gonzalez-Pinzon, Ricardo,Regier, Peter,et al. Introducing theSelf-Cleaning FiLtrAtionforWater quaLity SenSors(SC-FLAWLeSS) system[J],2020,18(9):467-476. |
APA | Khandelwal, Aashish,Gonzalez-Pinzon, Ricardo,Regier, Peter,Nichols, Justin,&Van Horn, David J..(2020).Introducing theSelf-Cleaning FiLtrAtionforWater quaLity SenSors(SC-FLAWLeSS) system.LIMNOLOGY AND OCEANOGRAPHY-METHODS,18(9),467-476. |
MLA | Khandelwal, Aashish,et al."Introducing theSelf-Cleaning FiLtrAtionforWater quaLity SenSors(SC-FLAWLeSS) system".LIMNOLOGY AND OCEANOGRAPHY-METHODS 18.9(2020):467-476. |
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