Water Quality Detection for Lakes

Li, Bingbing; Liu, Shuangyin

doi:10.1016/b978-0-12-811330-1.00008-9

Cited by 18 publications

(14 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Water quality detection in waterbodies can be performed by monitoring contaminant and noncontaminant indicators. Contaminant indicators reflect the status of water pollution while noncontaminant indicators reflect the comprehensive conditions of water quality [6]. Contaminant indicators include chemical oxygen demand, total phosphorus, total nitrogen, chlorophyll-a, and turbidity [7].…”

Section: Introductionmentioning

confidence: 99%

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Koparan

Koc

Privette

et al. 2019

Water

View full text Add to dashboard Cite

The objective of this research was to conduct in situ measurements of electrical conductivity (EC), pH, dissolved oxygen (DO), and temperature, and collect water samples simultaneously at different depths using an unmanned aerial vehicle (UAV). The UAV system consists of a hexacopter, water sampling cartridges (WSC), and a sensor node. Payload capacity and endurance of the UAV were determined using an indoor test station. The UAV was able to produce 106 N of thrust for 10 min with 6.3 kg of total takeoff weight. The thrust-to-weight ratio of the UAV was 2.5 at 50% throttle. The decision for activating the water sampling cartridges and sensor node was made autonomously from an onboard microcontroller. System functions were verified at 0.5 m and 3.0 m depths in 6 locations over a 1.1 ha agricultural pond. Average measurements of EC, pH, DO, and temperature at 0.5 m depth were 42 µS/cm, 5.6, 8.2 mg/L, and 31 °C, while the measurements at 3 m depth were 80 µS/cm, 5.3, 5.34 mg/L, and 24 °C, respectively. The UAV-assisted autonomous water sampling system (UASS) successfully activated the WSC at each sampling location. The UASS would reduce the duration of water quality assessment and help practitioners and researchers to conduct observations with lower operational costs. The developed system would be useful for sampling and monitoring of water reservoirs, lakes, rivers, and ponds periodically or after natural disasters.

show abstract

Section: Introductionmentioning

confidence: 99%

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Koparan

Koc

Privette

et al. 2019

Water

View full text Add to dashboard Cite

show abstract

“…A sudden temperature drop was observed after this depth, indicating the cooling depth at the location three was less than at locations two, five, and six. Thermal stratification occurs at a depth of 3.6 m in many lakes and the temperature difference between the epilimnion and the hypolimnion must be at least greater than 1 • C [1,3]. While there was a temperature drop of more than 1 • C at an average depth of 3.8 m, it was not clear that if a thermal stratification occurred according to these measurements.…”

Section: Resultsmentioning

confidence: 95%

“…Some of these phenomena can occur naturally, causing no harm to the aquatic system, while others can cause negative impacts on water quality. Thermal stratification occurs at a depth of 3.6 m in many lakes where layers are formed with different temperatures [1]. These layers are categorized from top to bottom where the warmest layer is on the top and the coolest layer is at the bottom as the epilimnion, the thermocline, and the hypolimnion [2].…”

Section: Introductionmentioning

confidence: 99%

Temperature Profiling of Waterbodies with a UAV-Integrated Sensor Subsystem

Koparan

Koc

Sawyer

et al. 2020

Drones

View full text Add to dashboard Cite

Evaluation of thermal stratification and systematic monitoring of water temperature are required for lake management. Water temperature profiling requires temperature measurements through a water column to assess the level of thermal stratification which impacts oxygen content, microbial growth, and distribution of fish. The objective of this research was to develop and assess the functions of a water temperature profiling system mounted on a multirotor unmanned aerial vehicle (UAV). The buoyancy apparatus mounted on the UAV allowed vertical takeoff and landing on the water surface for in situ measurements. The sensor node that was integrated with the UAV consisted of a microcontroller unit, a temperature sensor, and a pressure sensor. The system measured water temperature and depth from seven pre-selected locations in a lake using autonomous navigation with autopilot control. Measurements at 100 ms intervals were made while the UAV was descending at 2 m/s until it landed on water surface. Water temperature maps of three consecutive depths at each location were created from the measurements. The average surface water temperature at 0.3 m was 22.5 °C, while the average water temperature at 4 m depth was 21.5 °C. The UAV-based profiling system developed successfully performed autonomous water temperature measurements within a lake.

show abstract

“…It is measured as the quantity of oxygen required to stabilize the carbonaceous organic matter chemically. It is used to quantify the organic matter, nitrite, sulphide and ferrous salts present in wastewater [17].…”

Section: Chemical Oxygen Demand (Cod)mentioning

confidence: 99%

Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Armah¹,

Chetty²,

Adedeji³

et al. 2021

Promising Techniques for Wastewater Treatment and Water Quality Assessment

View full text Add to dashboard Cite

The quality of freshwater and its supply, particularly for domestic and industrial purposes are waning due to urbanization and inefficient conventional wastewater treatment (WWT) processes. For decades, conventional WWT processes have succeeded to some extent in treating effluents to meet standard discharge requirements. However, improvements in WWT are necessary to render treated wastewater for re-use in the industrial, agricultural, and domestic sectors. Three emerging technologies including membrane technology, microbial fuel cells and microalgae, as well as WWT strategies are discussed in this chapter. These applications are a promising alternative for manifold WWT processes and distribution systems in mitigating contaminants to meet acceptable limitations. The basic principles, types and applications, merits, and demerits of the aforementioned technologies are addressed in relation to their current limitations and future research needs. The development in WWT blueprints will augment the application of these emerging technologies for sustainable management and water conservation, with re-use strategies.

show abstract

Water Quality Detection for Lakes

Cited by 18 publications

References 43 publications

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Autonomous In Situ Measurements of Noncontaminant Water Quality Indicators and Sample Collection with a UAV

Temperature Profiling of Waterbodies with a UAV-Integrated Sensor Subsystem

Emerging Trends in Wastewater Treatment Technologies: The Current Perspective

Contact Info

Product

Resources

About