Plotting water flow rates in small watercourses by means of an above-water unmanned vehicle in order to find the source of pollutant discharges

The methodology of measuring flow velocities and constructing water consumption curves in waterways in order to find the source of pollutant discharges by the surface unmanned vehicle (unmanned craft – UC) is proposed. The research was carried out on the Pekhorka River in the Moscow region in August-September 2023. The following software and equipment were used: Google Earth Pro, Microsoft Excel, an in-house developed surface drone, a Garmin Striker Cast GPS echo sounder, a water flow sensor based on the Arduino UNO platform with customised enhancements (tail feathering and a built-in plug-in for current velocity determination). Fixation of exceedance of maximum permissible concentrations (MPC) of pollutants in a watershead indicates a violation has occurred. Due to the high degree of water exchange in waterways, the presence of a water sample with exceeded MPC values does not guarantee the detection of a violator. Particularly, if a water consumer is not in the supervision authorities' database, it becomes almost impossible to confirm his guilt without a comprehensive evidence base. If there is a wide network of hydrological monitoring on streams, the issue in the evidence base would be exhaustive, but dependent on the length of the river, frequent installation of hydrological posts is impossible for economic reasons. In such a case, an alternative option to supplement hydrological observations could be the use of a surface unmanned vehicle to take data at any reference station at the operator's discretion. The method of identifying sources of stream pollution using the unmanned ship not only allows to significantly expand the hydrological monitoring network along streams, but also to locate illegal water users by randomly selecting a control node to measure flow velocity and water volume. The large number of registered control nodes can also serve as a basis for the commission of a discharge when an intruder is detected.

Authors

Institutions

Publication Details

Journal
VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MARINE ENGINEERING AND TECHNOLOGIES
Published
2024-09-05
DOI
https://doi.org/10.24143/2073-1574-2024-3-32-38
Primary Topic
Aquatic and Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plotting water flow rates in small watercourses by means of an above-water unmanned vehicle in order to find the source of pollutant discharges

M.A. Shiryaeva, Tatiana Viktorovna Pilipenko, N. O. Naumenko
VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MARINE ENGINEERING AND TECHNOLOGIES
Aquatic and Environmental Studies
article

Plotting water flow rates in small watercourses by means of an above-water unmanned vehicle in order to find the source of pollutant discharges

M.A. Shiryaeva, Tatiana Viktorovna Pilipenko, N. O. Naumenko
article en

Abstract

The methodology of measuring flow velocities and constructing water consumption curves in waterways in order to find the source of pollutant discharges by the surface unmanned vehicle (unmanned craft – UC) is proposed. The research was carried out on the Pekhorka River in the Moscow region in August-September 2023. The following software and equipment were used: Google Earth Pro, Microsoft Excel, an in-house developed surface drone, a Garmin Striker Cast GPS echo sounder, a water flow sensor based on the Arduino UNO platform with customised enhancements (tail feathering and a built-in plug-in for current velocity determination). Fixation of exceedance of maximum permissible concentrations (MPC) of pollutants in a watershead indicates a violation has occurred. Due to the high degree of water exchange in waterways, the presence of a water sample with exceeded MPC values does not guarantee the detection of a violator. Particularly, if a water consumer is not in the supervision authorities' database, it becomes almost impossible to confirm his guilt without a comprehensive evidence base. If there is a wide network of hydrological monitoring on streams, the issue in the evidence base would be exhaustive, but dependent on the length of the river, frequent installation of hydrological posts is impossible for economic reasons. In such a case, an alternative option to supplement hydrological observations could be the use of a surface unmanned vehicle to take data at any reference station at the operator's discretion. The method of identifying sources of stream pollution using the unmanned ship not only allows to significantly expand the hydrological monitoring network along streams, but also to locate illegal water users by randomly selecting a control node to measure flow velocity and water volume. The large number of registered control nodes can also serve as a basis for the commission of a discharge when an intruder is detected.

VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MARINE ENGINEERING AND TECHNOLOGIESVol. 2024(3)
All-Russian Scientific Research Institute of Hydraulic Engineering and Melioration named after A.N. Kostyakov (RU), Siberian State University of Water Transport (RU), Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing (RU)
Clean water and sanitation
Openalex Percentile: Top 84%
Aquatic and Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.