scholarly journals Potential Impact of Wash Bay Effluent on the Water Quality of a Subtropical River

2014 ◽  
Vol 06 (11) ◽  
pp. 1045-1050 ◽  
Author(s):  
Concilia Danha ◽  
Beaven Utete ◽  
Gabriel Soropa ◽  
Simbarashe B. Rufasha
Keyword(s):  
Water Quality ◽  
Potential Impact

scholarly journals Classification of Water Quality of Banat Watercourses in Serbia for the Needs of Irrigation

2019 ◽  
Vol 12 (1-2) ◽  
pp. 51-57
Author(s):  
Milica Ilić ◽  
Milica Vranešević ◽  
Atila Bezdan ◽  
Boško Blagojević
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Quality Index ◽  
Good Source ◽  
Water Parameters ◽  
Physical Chemical ◽  
Potential Impact ◽  
Production Characteristics

Abstract The composition of water used for irrigation has a significant impact on the production characteristics of the land, yield and irrigation equipment, and therefore its analysis, or assessment of the usability of irrigation water is very important. In this paper, the potential impact of the waters of the Banat watercourses of Moravica, Karaš and Nera is assessed on the basis of monthly water samples from the measuring stations of Vatin, Dobričevo and Kusić, for the period of April-September from the year 2007 to 2017. The assessment was carried out using the classification of irrigation water: FAO, USLL and water categorization according to Nejgebauer, and the Serbian Water Quality Index (SWQI). For the needs of these classifications, a total of 20 water parameters were analyzed: quality, physical, chemical and biological parameters. According to all the classifications, the analyzed watercourses can be a good source of water for irrigation in terms of its quality, but with control and appropriate measures, in particular, the presence of bicarbonate, but also the ratio of Na+ to Ca2+ and Mg2+.

scholarly journals Using a gray multivariate model to predict impacts on the water quality of the Zhanghe River in China

2021 ◽  
Author(s):  
Feifei Fan ◽  
Zhengran Qiao ◽  
Lifeng Wu
Keyword(s):  
Water Quality ◽  
Social Factors ◽  
Particle Swarm Optimization Algorithm ◽  
Optimal Order ◽  
Swarm Optimization ◽  
Factors Affecting ◽  
The Social ◽  
Convolution Model ◽  
Potential Impact

Abstract In order to assess the social factors affecting the water quality of the Zhanghe River and predict the potential impact of growth in primary, secondary, tertiary industries and population on water quality of the Zhanghe River in the next few years, a deformation derivative cumulative gray multiple convolution model (DGMC(1,N)) was applied. In order to improve the accuracy of the model, the accumulation of deformation derivatives is introduced, and the particle swarm optimization algorithm is used to solve the optimal order. The DGMC(1,N) model was compared with GM(1,2) and GM(1,1) models. The results show that the DGMC(1,N) model has the highest prediction accuracy. Finally, DGMC(1,N) model is used to predict the potential impact of growth in primary, secondary, tertiary industries and population on water quality in the Zhanghe River (using COD as the water quality indicator).

Spatial and Temporal variation analysis of water quality of Hemavathi River, Karnataka, India

2018 ◽  
Vol 6 (9) ◽  
pp. 196
Author(s):  
Santhosh K. M ◽  
S. Prashanth
Keyword(s):  
Water Quality ◽  
Agricultural Runoff ◽  
Spatial And Temporal Variation ◽  
Final Conclusion ◽  
Variation Analysis ◽  
Pollution Load ◽  
Quality Of Water ◽  
Pollution Loading ◽  
Origin Point

Urban development, agricultural runoff and industrialization have contributed pollution loading on the environment.  In this study Hemavathi river water from a stretch from its origin point to its sangama was studied for pollution load by determining parameters of water quality like pH, Alkalinity,  Ca, Mg, Nitrate, TDS, BOD, COD , and the results were compared with WHO and BIS standards to draw final conclusion on the quality of water.

Changes of microbial indices of water quality in the Vistula and Brda rivers as a result of sewage treatment plant operation

2008 ◽  
Vol 37 (2) ◽  
Author(s):  
Maciej Walczak
Keyword(s):  
Water Quality ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Sewage Treatment Plants ◽  
Plant Operation ◽  
Treated Sewage ◽  
Microbiological Parameters ◽  
Microbial Indices

Changes of microbial indices of water quality in the Vistula and Brda rivers as a result of sewage treatment plant operationThis paper reports the results of studies of microbiological changes in the water quality of the Vistula and Brda rivers after the opening of sewage treatment plants in Bydgoszcz. The study involved determining the microbiological parameters of water quality. Based on the results obtained, it was found that the quality of the water in both rivers had improved decidedly after the opening of the plants, although an increased number of individual groups of microorganisms was found at the treated sewage outlet from one of the plants.

PENGARUH KONDISI EKOSISTEM DARAT KORIDOR SUNGAI TERHADAP DANAU RAWA PENING

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
E. Hanggari Sittadewi
Keyword(s):  
Water Quality ◽  
Water Hyacinth ◽  
River Corridors ◽  
River Corridor ◽  
Environment Degradation

Environment degradation in Rawa Pening’s lake is caused of descend lake’s functions for some potentions and activities around the lake. Some problems in the Rawa Pening’s lake has emerged i.e : decrease water quality of lake, abundance of water hyacinth growth and increase sediment in the bottom lake. A research about infl uences of land ecosystem on Panjang and Galeh river corridors for Rawa Pening’s lake has been done. Two rivers named Galeh and Panjang are the largest water contribution in Rawa Pening’s lake. That caused the land characteristic ecosystem of that river corridors gives infl uences in the Rawa Pening’s lake.Key words: land ecosystem, river corridor, water contribution, Rawa Pening Lake.

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