scholarly journals Geospatial assessment of the Mokra Sura river ecological condition using remote sensing and in situ monitoring data

2019 ◽  
Vol 27 (3) ◽  
pp. 422-430
Author(s):  
Mykola М. Kharytonov ◽  
Andriy М. Pugach ◽  
Sergey А. Stankevich ◽  
Anna O. Кozlova
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Ecological Status ◽  
The State ◽  
Water Bodies ◽  
In Situ Monitoring ◽  
Treated Wastewater

The use of remote sensing methods for environmental monitoring of the surface water quality is proved. Regression relationships are consistent with ground-based measurements at sampling sites in water bodies and are an effective tool for assessing the ecological status of water bodies. The state of the water bodies of the Mokra Sura river basin varies considerably. The best is the water quality in the upper part of the Mokra Sura river, the worst – in the middle and lower parts. The factors of water pollution are discharges of not enough treated wastewater of industrial enterprises of the Kamyans’koy and Dniprovs’koy industrial agglomeration. The purpose of our search included the following tasks: (a) calculation of integrated environmental water quality indices; b) obtaining satellite information, processing of multispectral satellite images of water bodies using appropriate applied software techniques; c) establishment of statistical dependencies between water quality indexes obtained for biotopically space images and data of actual in situ measurements. The results of systematic hydrochemical control of the Mokra Sura river basin from 2007 to 2011 years were initial data in 4 control areas located in the Dnipropetrovsk region: 1 – the Sursko-Litovske village; 2 – the Bratske village; 3 – the Novomykolayvka village; 4 – the Novooleksandryvka village. Environmental assessment of the water quality of the Mokra Sura river within the Dnipropetrovsk region was based on the calculation the integrated environmental index ( IEI ). Priority pollutants in this case are oil products and ions 2−SO 4, 2 + Mg , 2 + Zn , 6 + Cr . Two images with a difference in three years in April 2015 and May 2017 were used to determine the current changes in the land cover of the study area. Geomorphological assessment of the water network of the Morka Sura river was performed using satellite radar interferometry. Multispectral images of Landsat 5/TM (2007-2011) and Sentinel 2B/MSI (2017) satellite systems were used forremote assessment of water bodies in the study area of the Mokra Sura river basin. The multispectral index TCW (Tasseled Cap Wetness) was used to measure the spectral reflection of the aquatic environment along of the Mokra Sura river flow. The main advantage of the studies is a demonstration of remote sensing capabilities to estimate Mokra Sura river ecological status not only in individual sites, but also throughout the flow – from source to mouth. Follow the necessity to use water from the Mokra Sura river for irrigation, the level of soil water erosion can only increase and enhance the negative processes of eutrophication of reservoirs. Long term technogenic pollution requires information about the state of surface water of fishery, drinking and municipal water use facilities as an integral part of the aquatic ecosystem, the habitat of aquatic organisms and as a resource of drinking water supply. Over 80% of the Mokra Sura river basin surface (IEI 4-12) belong to the classes with the assessment of dirty, very and extremely dirty. The results of studies using remote sensing indicate the need to reduce the streams of not enough treated wastewater to the the Mokra Sura river. The obtained data can be used for ecological assessment of the current and retrospective state of water bodies, development of forecasts of rivers pollution.

SentiLake - Sentinel-2 satellite data-based service for monitoring of Latvian lakes

2020 ◽  
Author(s):  
Dainis Jakovels ◽  
Agris Brauns ◽  
Jevgenijs Filipovs ◽  
Tuuli Soomets
Keyword(s):  
Water Quality ◽  
Satellite Data ◽  
Ecological Status ◽  
Quality Parameters ◽  
Water Bodies ◽  
Water Quality Parameters ◽  
Chl A ◽  
Regular Monitoring ◽  
Sentinel 2

<p>Lakes and water reservoirs are important ecosystems providing such services as drinking water, recreation, support for biodiversity as well as regulation of carbon cycling and climate. There are about 117 million lakes worldwide and a high need for regular monitoring of their water quality. European Union Water Framework Directive (WFD) stipulates that member states shall establish a programme for monitoring the ecological status of all water bodies larger than 50 ha, in order to ensure future quality and quantity of inland waters. But only a fraction of lakes is included in in-situ monitoring networks due to limited resources. In Latvia, there are 2256 lakes larger than 1 ha covering 1.5% of Latvian territory, and approximately 300 lakes are larger than 50 ha, but only 180 are included in Inland water monitoring program, in addition, most of them are monitored once in three to six years. Besides, local municipalities are responsible for the management of lakes, and they are also interested in the assessment of ecological status and regular monitoring of these valuable assets. </p><p>Satellite data is a feasible way to monitor lakes over a large region with reasonable frequency and support the WFD status assessment process. There are several satellite-based sensors (eg. MERIS, MODIS, OLCI) available specially designed for monitoring of water quality parameters, however, they are limited only to use for large water bodies due to a coarse spatial resolution (250...1000 m/pix). Sentinel-2 MSI is a space-borne instrument providing 10...20 m/pix multispectral data on a regular basis (every 5 days at the equator and 2..3 days in Latvia), thus making it attractive for monitoring of inland water bodies, especially the small ones (<1 km<sup>2</sup>). </p><p>Development of Sentinel-2 satellite data-based service (SentiLake) for monitoring of Latvian lakes is being implemented within the ESA PECS for Latvia program. The pilot territory covers two regions in Latvia and includes more than 100 lakes larger than 50 ha. Automated workflow for selecting and processing of available Sentinel-2 data scenes for extracting of water quality parameters (chlorophyll-a and TSM concentrations) for each target water body has been developed. Latvia is a northern country with a frequently cloudy sky, therefore, optical remote sensing is challenging in or region. However, our results show that 1...4 low cloud cover Sentinel-2 data acquisitions per month could be expected due to high revisit frequency of Sentinel-2 satellites. Combination of C2X and C2RCC processors was chosen for the assessment of chl-a concentration showing the satisfactory performance - R<sup>2</sup> = 0,82 and RMSE = 21,2 µg/l. Chl-a assessment result is further converted and presented as a lake quality class. It is expected that SentiLake will provide supplementary data to limited in situ data for filling gaps and retrospective studies, as well as a visual tool for communication with the target audience.</p>

scholarly journals Ecological status of surface water of the river Stokhid basin

2017 ◽  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Agricultural Land ◽  
Spatial Dynamics ◽  
Ecological Status ◽  
Surface Water Quality ◽  
Treated Wastewater ◽  
Clean Water ◽  
Environmental Indices ◽  
The Village

Purpose. The analysis of the surface water quality of the Stokhid river, the definition of the class and the category of water quality. Methods. Comparative geographic, analytical, generalization and systematization. Results. Inner annual dynamics of the components of the hydro chemical conditions of surface water composition is closely linked with river runoff, the formation of which occurs due to loss of precipitation and nutrition of groundwater. Based on the analysis of monitoring observations, carried out by the State Environmental Inspectorate in the Volyn region for the period from 2007 to 2017, it has been determined the multi-year time and spatial dynamics of the average annual values of integrated environmental indices by the average values. They are following: in the village Malinovka IEaver. = 2,2 and in Lyubeshiv village IE aver. = 2,4. The water of river Stokhid belongs to the second class of quality ("good", "pure"), to the second category ("very good", "very pure") and subcategories 2 (3) ("very good", " clean" water with a tendency to approach the category of "good", "fairly clean") respectively. Dynamics of average annual values of integral ecological indexes for the worst values in village Malinovka IEworst = 2,6 and in the village Lyubeshiv IEworst = 2,8 was characterized by water of the second class ("good", "pure"), third category ("good", "fairly clean"), subcategory 2-3 (water transitions in quality from "very good", "pure" to "good", "fairly clean") and subcategory 3 (2) ("good", "fairly clean" water with a bias to "very good", "clean"). Conclusions. In general, it should be noticed, that when calculating the values of integral ecological indexes, the value of the indexes of trophic and sapro-biological indicators are the worst. Compounds of Nitrogen was among the substances that determined the water quality as "very poor" and "very dirty". Increased levels of Nitrogen compounds in the Stokhid river is mainly due to the intake of insufficiently treated wastewater, surface runoff from agricultural land and the decomposition of non-living organic matter in the spring.

scholarly journals Reconstruction of Rain Flood at the Adagum River on the Basis of Mathematical Models for Discharge Formation

2013 ◽  
pp. 87-104
Author(s):  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
River Basins ◽  
Water Bodies ◽  
Practical Application ◽  
Protective Measures ◽  
Surface Water Bodies ◽  
Discharge Formation ◽  
Water Quality Objectives

The authors developed and presented a method of setting objectives in terms of surface water bodies’ water quality; it was elaborated and specified in accordance with the results of its application at a number of river basins. An algorithm of water/protective measures prioritizing in a river basin on the basis of water quality objectives was proposed. Practical application of the proposed approaches was illustrated by examples from the Scheme of Water Bodies; Integrated Use and Protection for the Ob River basin.

Restoration of fish passage: development and results of a master plan established for the Ruhr river basin

2005 ◽  
Vol 52 (9) ◽  
pp. 77-84 ◽  
Author(s):  
M. Weyand ◽  
M. Redeker ◽  
E.A. Nusch
Keyword(s):  
Surface Water ◽  
River Basin ◽  
Ecological Status ◽  
Fish Passage ◽  
Ecological Condition ◽  
Population Diversity ◽  
Water Bodies ◽  
Suitable Habitat ◽  
Master Plan ◽  
River Continuum

According to the central aim of the European Water Framework Directive, the protection and sustained management of the aquatic ecological system, the ecological condition of a specific type of water, will be the primary parameter in future. Aiming at good ecological status in surface water bodies, population diversity and abundance of fish and macroinvertebrates is decisive. Free passage in river systems, to allow the natural migration of fish and all other aquatic organisms, is a prerequisite. To achieve this for the Ruhr River Basin a study has been commissioned in order to develop a master plan for river continuum restoration. Sustainable development aimed at promoting biodiversity in the surface water body system is a key objective. This project is complemented by investigations of the sediment – which is the nursery of the fish – in the rivers to identify river sections or tributaries which obviously provide a suitable habitat for the successful reproduction of big Salmonidae. The master plan illustrates the inherent problems of projects aimed at the restoration of fish passage in water bodies which are strongly affected by anthropogenic modifications. The results obtained may as well be transferred to other catchments with similar use patterns.

scholarly journals Interpretation of the results of surface water quality applying multivariate analysis

2015 ◽  
Vol 69 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Borko Matijevic ◽  
Djendji Vastag ◽  
Milena Becelic-Tomin ◽  
Bozo Dalmacija ◽  
Suzana Apostolov
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Surface Water ◽  
Ecological Status ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Surface Water Bodies ◽  
The Given

Monitoring of surface water, through the analysis of physical-chemical and chemical parameters is a very important factor in the control of water quality and the health of living beings. Surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial waste water). The results of monitoring of surface water are usually too expensive and difficult for correct interpreting, due to the spatial and temporal variations in water quality. By applying Multivariate statistical analysis can achieve significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water. In this paper, were analyzed selected results of the analysis of surface water in AP Vojvodina in 2011 year by using multivariate statistical analysis (cluster analysis and principal components analysis). These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. With both methods applied and the division of water bodies tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. Application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and to improve the existing monitoring. In addition, analysis of the extracted surface water bodies where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters ensure the functioning of ecosystems.

scholarly journals Proximal VIS-NIR spectrometry to retrieve substance concentrations in surface waters using partial least squares modelling

2018 ◽  
Vol 19 (4) ◽  
pp. 1204-1211 ◽  
Author(s):  
A. Wagner ◽  
S. Hilgert ◽  
T. Kattenborn ◽  
S. Fuchs
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Surface Water ◽  
Least Squares ◽  
Partial Least Squares ◽  
Surface Waters ◽  
Suspended Solids ◽  
Quality Parameters ◽  
Water Bodies ◽  
Surface Water Bodies

Abstract Many water quality parameters such as concentrations of suspended matter, nutrients and algae directly or indirectly change the electromagnetic reflectance and transmission properties of surface water bodies. Optical measurement approaches have shown great potential to partially substitute water sampling and laboratory analyses, but are obstructed by limited flexibility or high maintenance demands. In order to overcome these problems and to bridge the gap between in situ and remote sensing measurements, the use of close-range, above-surface reflectance measurements in the VIS-NIR domain to measure water quality parameters in surface water bodies was investigated. Remote sensing reflectance in a 1 m³ water tank with increasing, known concentrations of suspended solids was measured. A partial least squares model was trained to predict concentrations from reflectance curves, which performed well, considering the wide range of concentrations and illumination conditions (R²cal = 0.96, R²val = 0.97). The approach was then transferred to the field and further parameters were tested. Using a semi-autonomous spectrometer mounted to a boom stand on a motor boat, we traced substance concentrations in close intervals along a longitudinal gradient from inflow to dam in a drinking water reservoir in Brazil. The method is suitable for parameters directly influencing the reflection properties of the water body (e.g. suspended solids (R²cal = 0.93), chlorophyll-a (R²cal = 0.74)), or for parameters closely related to those (e.g. total phosphorus (R²cal = 0.97)). For chemical oxygen demand, the method is not well suited (R²cal = 0.14, R²val = 0.45). Once calibrated to the local conditions, the spectrometer can be used stationary or on moving platforms to map and monitor surface waters. The integration of the procedure into acoustic and imaging techniques is further investigated.

scholarly journals Methodological aspects of assessment of the state of chemical pollution and water quality of surface waters in Ukraine

2020 ◽  
Vol 20 (66) ◽  
pp. 33-61
Author(s):  
V Kozak ◽  
◽  
A Tovmachenko ◽  
M Gertsiuk ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Waters ◽  
Ecological Condition ◽  
The State ◽  
Water Bodies ◽  
Chemical Pollution ◽  
Surface Water Bodies ◽  
Micro Pollutants

The main sources of chemical pollution of surface water bodies of Ukraine are shown and it is noted that the ecosystem of the environment and water resources, being under constant man-caused load, tend to steadily deteriorate the ecological condition. Methods for assessing the quality of surface waters using the maximum allowable concentrations of harmful substances in water and a comprehensive assessment of the ecological status of surface water by integrated hydrochemical parameters are described. International approaches to the assessment of the state of surface water bodies are considered. It is noted that the most complete information on the state of the aquatic ecosystem can be obtained using a set of physicochemical and biological parameters. There are shortcomings in the monitoring of organic micro-pollutants in surface waters. The analysis of the international experience of determination of water quality and parameters of toxicological action of organic micro-pollutants with application of chemo-informative methods for modeling of an ecological condition of water systems is carried out.

GEOECOLOGICAL ASSESSMENT OF SURFACE WATER OF A RIVER BASIN WITH MATHEMATICAL ANALYSIS (on the example of the Ile River)

2021 ◽  
Vol 103 (4) ◽  
pp. 6-19
Author(s):  
Zh.S. Mustafayev ◽  
◽  
L.M. Ryskulbekova ◽  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Limiting Factors ◽  
Catchment Basin ◽  
Water Pollution Index

Based on the structural analysis of complex hydrochemical indices for assessing surface water pollution used in various river basins, and the laws of limiting factors, a mathematical model was obtained in the form of the maximum permissible water pollution coefficient (Kпдзi), representing the product of the water content coefficient (Kb) and the maximum water pollution (Kпзi), by based on the laws of nature, principles and properties of natural processes in, together with the water pollution index (ИЗВ), are used for the geoecological assessment of the surface water quality of the Ile River basin on a spatial-temporal scale, taking into account the regulatory criteria for maximum permissible concentrations of pollutants for fishery water bodies, that between the coefficient of the maximum permissible water pollution (Kпдзi) and the water pollution index (ИЗВ) there is a pronounced relationship, described by a logarithmic equation, allowing them to be used to assess the ecological state water bodies. Water quality assessment was carried out for four hydrological sections of the Ile River catchment basin, which showed that water pollution is of a transboundary nature, since at the Dobyn hydrological station, located on the borders of the Republic of Kazakhstan and the People's Republic of China, the water quality is «polluted», and from the Kapshagai reservoir to Lake Balkhash «moderately polluted», where due to the selfcleaning ability of the aquatic ecosystem and the waters coming from the tributaries, there is some improvement in water quality.

scholarly journals Multispectral remote sensing inversion for city landscape water eutrophication based on Genetic Algorithm-Support Vector Machine

2014 ◽  
Vol 49 (3) ◽  
pp. 285-293 ◽  
Author(s):  
Aidi Huo ◽  
Jia Zhang ◽  
Changlu Qiao ◽  
Chenlong Li ◽  
Juan Xie ◽  
...  
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Water Quality ◽  
Urban Landscape ◽  
In Situ Monitoring ◽  
Support Vector ◽  
Landscape Water ◽  
Water Eutrophication ◽  
Urban Landscape Water

Eutrophication has become the primary water quality issue for many urban landscape waters in the world. It is a focus in this paper which analyzes Enhanced Thematic Mapper images and quality observation data for 12 consecutive years in 20 parts of the urban landscape water in Xi'an City, China. A water quality model for urban landscape water based on Support Vector Machine (SVM) was established. Based on in situ monitoring data, the model is compared with water quality retrieving methods of multiple regression and back propagation neural network. Results show that the Genetic Algorithm-SVM (GA-SVM) method has better prediction accuracy than the inversion results of the neural network and the traditional statistical regression method. In short, GA-SVM provides a new method for remote sensing monitoring of urban water eutrophication and has more accurate predictions in inversion results [such as chlorophyll a (Chl-a)] in the Xi'an area. Additionally, remote sensing results highly agreed with in situ monitoring data, indicating that the technology is effective and less costly than in situ monitoring. The technology also can be used to evaluate large lake eutrophication.

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