RISK FACTORS OF CHANGE IN WATER QUALITY OF THE BUREYSKOE RESERVOIR IN THE LARGE LANDSLIDE AREA

2020 ◽  
Vol XIV (4/2020) ◽  
Keyword(s):  
Risk Factors ◽  
Water Quality ◽  
Landslide Area ◽  
Large Landslide

scholarly journals Monitoring drinking water quality in nationally representative household surveys: cross-sectional analysis of 20 Multiple Indicator Cluster Surveys 2014-2019

2020 ◽  
Author(s):  
Robert Edward Shenton Bain ◽  
Richard Johnston ◽  
Shane Khan ◽  
Attila Hancioglu ◽  
Tom Slaymaker
Keyword(s):  
Risk Factors ◽  
Water Quality ◽  
Drinking Water ◽  
Quality Data ◽  
Household Surveys ◽  
Water Services ◽  
Water Quality Data ◽  
E Coli ◽  
Multiple Indicator

Background. The Sustainable Development Goals set an ambitious new benchmark for safely managed drinking water services (SMDW), but many countries lack data on the availability and quality of drinking water. Objectives. To quantify the availability and microbiological quality of drinking water, monitor SMDW and examine risk factors for E. coli contamination in 20 low-and middle-income countries. Methods. A new water quality module for household surveys was implemented in Multiple Indicator Cluster Surveys. Teams used portable equipment to measure E. coli at the point of collection (PoC, n=48323) and at the point of use (PoU, n=51345) and asked respondents about the availability and location of drinking water services. E. coli levels were classified into risk categories and SMDW was calculated at the household- and domain-levels. Multilevel modified Poisson regression was used to explore pre-selected risk factors for contamination. Results. E. coli contamination was commonly detected at PoC (range: 16- 90%) and was even more likely at PoU (range 20-97%). Coverage of SMDW was 56 % points lower than improved drinking water and water quality was the limiting factor for SMDW in 14 out of 20 countries. Detection of E. coli at PoC was associated with use of improved water sources (RR = 0.63 [0.54-0.75]) and accessibility on premises (RR = 0.81 [0.70-0.95]) but not with availability (RR = 0.94 [0.84-1.06]). Households in the richest quintile (RR = 0.67 [0.50-0.90]) and in communities with high (>75%) improved sanitation coverage (RR = 0.95 [0.92-0.99]) were less likely to use contaminated water at PoU whereas animal ownership (RR = 1.08 [1.03-1.14]) and rural residence (RR = 1.11 [1.04-1.18]) increased risk of contamination. Discussion. Water quality data can be reliably collected in household surveys and can be used to assess inequalities in service levels, to track the SDG indicator of safely managed drinking water services, and to examine risk factors for contamination. There is an urgent need to implement scalable and sustainable interventions to reduce exposure to faecal contamination through drinking water.

scholarly journals 22 Biological quality of drinking water for dairy cows - A risk oriented evaluation of influencing factors

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 21-21
Author(s):  
Jason J Hayer ◽  
Benedikt G Schulze Dieckhoff ◽  
Celine Heinemann ◽  
Julia Steinhoff-Wagner
Keyword(s):  
Risk Factors ◽  
Water Quality ◽  
Drinking Water ◽  
Water Samples ◽  
Mixed Model ◽  
Drinking Water Quality ◽  
Resistant Bacteria ◽  
E Coli ◽  
Biofilm Development

Abstract Despite its importance, legal regulations and official guidelines regarding the quality of livestock drinking water are rather unspecific. The study aimed to investigate biological livestock drinking water quality considering influences of risk factors and relations to biofilm development and hygiene status of dairy troughs. On 24 dairy operations in Western Germany, 105 troughs were sampled. Water and biofilm were analyzed for aerobic total viable count (TVC), coliform count (CC), Escherichia coli, methicillin-resistant Staphylococcus aureus (MRSA) and extended-spectrum beta-lactamases building bacteria (ESBL). 33 possible influences on biological water quality for each trough were either recorded or inquired. The troughs surface was examined with protein- and adenosine triphosphate (ATP)-rapid tests for hygiene. A mixed model and Spearman rank correlations (SAS 9.4) were used for estimating the probability of quality impairment in relation to recorded influences. Average TVC in water samples was 4.4 log10 cfu/ml. Coliforms were detectable in 94.3% of all troughs and E. coli in 48.6%. CC seems to be a more sensitive and suitable indicator to check fecal contamination because 16 water samples were positive for CC (>2.0 log10 cfu/ml) but negative for E. coli. MRSA were found in livestock drinking water of a single, and ESBL on three farms, suggesting that troughs might contribute to an exchange of antibiotic resistant bacteria in some dairy farms. Risk factors (P < 0.05) for at least one quality criteria (TVC, CC or E. coli) were water origin, trough type, degree of trough soiling, visible biofilm, ambient temperature and distance to the milking parlor. Water CC (r = 0.46; P < 0.001) and E. coli (r = 0.31; P < 0.01) correlated with their equivalent in biofilm and with hygiene tests on trough surfaces (0.31 >r >0.19; P < 0.05). Biological livestock drinking water quality can be improved by addressing the risk factors and be monitored with hygiene tests.

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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