The Level of Anthropogenic Pollution of the Kapshagay Water Reservoir, Republic of Kazakhstan

2020 ◽  
pp. 143-162
Author(s):  
Nariman A. Amirgaliyev ◽  
Laura T. Ismukhanova
Keyword(s):  
Water Reservoir ◽  
Anthropogenic Pollution

scholarly journals EVALUATING WATER QUALITY IN VELIKAYA RIVER BY USING PHYTOPLANKTON CHARACTERISTICS

2021 ◽  
Vol 2021 (1) ◽  
pp. 51-60
Author(s):  
Tatiana Drozdenko ◽  
Taras Antal
Keyword(s):  
Water Environment ◽  
Food Resource ◽  
Water Reservoir ◽  
Anthropogenic Pollution ◽  
Water Area ◽  
Taxonomic Composition ◽  
Trophic Chain ◽  
Ecological Features ◽  
Wide Range ◽  
Assess Quality

The article gives the description of the Velikaya River as the largest river in the Pskov region, which collects water from half of region area and in many respects determines not only the water balance of Lake Pskov-Peipsi, but also is a source of anthropogenic pollution of a unique water reservoir. In water resources management the priority is given to studying phytoplankton as the primary link in a trophic chain. Microalgae participate in carbon and energy cycles, self-purification of water bodies, serve as a food resource; they first respond to initial changes in the aquatic ecosystem, thereby being an excellent object for bioindication. The aim of the work was to study the taxonomic composition, quantitative characteristics, and ecological features of phytoplankton in the mouth of the Velikaya River in order to assess quality of the aquatic environment. For the period 2015 - 2016 138 microalgae species were identified, the largest number of which was identified in the late spring (84 species), the smallest - in the autumn (47 species). Planktonic algoflora of the lower reaches of the Velikaya River can be characterized as diatom-chlorophylic with a minor contribution of cyanobacteria and golden algae. The comparison of phytoplankton composition with the use of the Sierensen-Chekanovsky index showed that species composition is closest between winter and autumn algocenoses (Ks-ch = 0.6). The abundance of phytoplankton in the mouth of the Velikaya River changed in a wide range depending on the season: from 232.0 thousand cells/liter in winter to 2.07 million cells/liter in summer, biomass - from 60.3 mg/m3 in winter to 773.6 mg/m3 in summer. According to the ecological and geographical characterization of the studied water area, widespread freshwater planktonic forms of phytoplankton prevailed, which prefer a weak alkaline water environment. The average saprobity index for Pantle and Bucc was 2.05, which shows a moderate pollution of the lower reaches of the Velikaya River.

scholarly journals Magnetic parameters as proxies for anthropogenic pollution in water reservoir sediments from Mexico: An interdisciplinary approach

2020 ◽  
Vol 700 ◽  
pp. 134343 ◽  
Author(s):  
Marcos A.E. Chaparro ◽  
Margarita Ramírez-Ramírez ◽  
Mauro A.E. Chaparro ◽  
Raúl Miranda-Avilés ◽  
María J. Puy-Alquiza ◽  
...  
Keyword(s):  
Water Reservoir ◽  
Interdisciplinary Approach ◽  
Anthropogenic Pollution ◽  
Reservoir Sediments ◽  
Magnetic Parameters

Rancang Bangun Sistem Monitoring Pengukuran Volume Air Berbasis IoT Menggunakan Arduino Wemos

2020 ◽  
Vol 6 (2) ◽  
pp. 147-153
Author(s):  
Muhamad Yusup ◽  
Po. Abas Sunarya ◽  
Krisandi Aprilyanto
Keyword(s):  
Waste Water ◽  
Waste Water Treatment ◽  
Water Reservoir ◽  
Ultrasonic Sensor ◽  
Automated System ◽  
Volume Formula ◽  
Air Volume ◽  
Database Server ◽  
A Company ◽  
Height Data

System The process of counting and storing in a manual water reservoir analysis has a high percentage of error rate compared to an automated system. In a company industry, especially in the WWT (Waste Water Treatment) section, it has several reservoir tanks as stock which are still counted manually. The ultrasonic sensor is placed at the top of the WWT tank in a hanging position. Basically, to measure the volume in a tank only variable height is always changing. So by utilizing the function of the ultrasonic sensor and also the tube volume formula, the stored AIR volume can be monitored in real time based on IoT using the Blynk application. From the sensor, height data is obtained which then the formula is processed by Arduino Wemos and then information is sent to the MySQL database server via the WIFI network.

HEAVY METAL SPECIATION IN BOTTOM SEDIMENTS OF THE VYSHNEVOLOTSKY RESERVOIR

2018 ◽  
pp. 46-54
Author(s):  
O. A. Lipatnikova
Keyword(s):  
Heavy Metal ◽  
Organic Matter ◽  
Bottom Sediments ◽  
Metal Speciation ◽  
Organic Matter Content ◽  
Water Reservoir ◽  
Matter Content ◽  
Heavy Metal Speciation ◽  
Mobile Forms ◽  
Manganese Hydroxides

The study of heavy metal speciation in bottom sediments of the Vyshnevolotsky water reservoir is presented in this paper. Sequential selective procedure was used to determine the heavy metal speciation in bottom sediments and thermodynamic calculation — to determine ones in interstitial water. It has been shown that Mn are mainly presented in exchangeable and carbonate forms; for Fe, Zn, Pb и Co the forms are related to iron and manganese hydroxides is played an important role; and Cu and Ni are mainly associated with organic matter. In interstitial waters the main forms of heavy metal speciation are free ions for Zn, Ni, Co and Cd, carbonate complexes for Pb, fulvate complexes for Cu. Effects of particle size and organic matter content in sediments on distribution of mobile and potentially mobile forms of toxic elements have been revealed.

The effects of anthropogenic pollution on the Kanev Reservoir (Ukraine) phytoplankton. Comparison of size spectrum patterns

2008 ◽  
Vol 10 (3) ◽  
pp. 240-253
Author(s):  
Y. Kamenir ◽  
T. I. Mikhailyuk ◽  
A. F. Popova ◽  
R. B. Kemp ◽  
Z. Dubinsky
Keyword(s):  
Anthropogenic Pollution ◽  
Size Spectrum

MODEL-BASED ANALYSIS OF EFFECTIVENESS OF ENGINEERING SOLUTIONS DESIGNED TO INCREASE COOLING CAPACITY OF TASHLYK WATER RESERVOIR OF SOUTHUKRAINIAN NUCLEAR POWER PLANT

2012 ◽  
Vol 13 (1-4) ◽  
pp. 39-51
Author(s):  
Roman V. Bezhenar ◽  
Volodymyr I. Koshebutsky ◽  
Ivan V. Kovalets ◽  
Vladimir S. Maderich ◽  
Mark J. Zheleznyak
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Water Reservoir ◽  
Cooling Capacity ◽  
Model Based ◽  
Model Based Analysis

Study of Bed forms in a River and a Small Water Reservoir

2008 ◽  
Vol 23 (1) ◽  
pp. 99-109
Author(s):  
Bogusław Michalec
Keyword(s):  
Water Reservoir ◽  
Small Water ◽  
Bed Forms

Deep Water Reservoir Management Using Fast Turnaround Integrated Reservoir Modelling Workflow

2016 ◽  
Author(s):  
Bert-Rik de Zwart ◽  
Jose Varghese ◽  
Prasanta Nayak ◽  
Aloke Saha ◽  
Anna Numpang ◽  
...  
Keyword(s):  
Deep Water ◽  
Water Reservoir ◽  
Reservoir Management ◽  
Reservoir Modelling
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