Scheme for Analysis of Industrial Water

1954 ◽  
Vol 46 (5) ◽  
pp. 970-974 ◽  
Author(s):  
J. H. Phillips ◽  
K. G. Stoffer
Keyword(s):  
Industrial Water

Preparation and Application of Double-Hydrophilic Copolymer as Scale and Corrosion Inhibitor for Industrial Water Recycling

2017 ◽  
Vol 54 (6) ◽  
pp. 467-478
Author(s):  
Tiantian Wang ◽  
Yuming Zhou ◽  
Qingzhao Yao ◽  
Ao Zhang ◽  
Jun Li ◽  
...  
Keyword(s):  
Corrosion Inhibitor ◽  
Water Recycling ◽  
Industrial Water

Influence of Price and Rate Structures on Municipal and Industrial Water Use.

1984 ◽  
Author(s):  
J. J. Boland ◽  
B. DZiegielewski ◽  
D. D. Baumann ◽  
E. M. Optiz
Keyword(s):  
Water Use ◽  
Industrial Water ◽  
Industrial Water Use

scholarly journals Economic Determinants of Industrial Water Demand: A Review of the Applied Research Literature

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1684
Author(s):  
Pilar Gracia-de-Rentería ◽  
Ramón Barberán
Keyword(s):  
Water Demand ◽  
Research Literature ◽  
Industrial Water ◽  
Methodological Issues ◽  
Economic Determinants ◽  
Future Studies ◽  
Know How ◽  
Level Of Activity ◽  
Industrial Water Demand ◽  
Available Information

This paper surveys the empirical, economic literature focused on the determinants of industrial water demand. Both the methodological issues and the outcomes of the previous studies are presented and discussed. Attention is given to key methodological issues, such as the available information, the type of data used, the specification of the variables, the choice of the estimated function, its functional form, and the estimation techniques used, highlighting the issues that require greater attention in future studies. Regarding the results, we focus on the estimated elasticities in order to know how the price of water, the level of activity, and the prices of the other inputs influence the demand for water.

scholarly journals Elevated Incidences of Antimicrobial Resistance and Multidrug Resistance in the Maumee River (Ohio, USA), a Major Tributary of Lake Erie

2021 ◽  
Vol 9 (5) ◽  
pp. 911
Author(s):  
Maitreyee Mukherjee ◽  
Leah Marie ◽  
Cheyenne Liles ◽  
Nadia Mustafa ◽  
George Bullerjahn ◽  
...  
Keyword(s):  
Multidrug Resistance ◽  
Antimicrobial Resistance ◽  
High Resistance ◽  
Lake Erie ◽  
Control Measures ◽  
Industrial Water ◽  
Western Basin ◽  
E Coli ◽  
Major Tributary ◽  
Very High

Maumee River, the major tributary in the western basin of Lake Erie, serves as one of major sources of freshwater in the area, supplying potable, recreational, and industrial water. In this study we collected water samples from four sites in the Maumee River Bay between 2016–2017 and E. coli was isolated, enumerated, and analyzed for antimicrobial resistance (AMR) and multidrug resistance (MDR). Strikingly, 95% of the total isolates were found to be resistant to at least one antibiotic. A very high resistance to the drugs cephalothin (95.3%), ampicillin (38.3%), tetracycline (8.8%), gentamicin (8.2%), ciprofloxacin (4.2%), cefoperazone (4%), and sulfamethoxazole (1.5%) was observed within isolates from all four sampling sites. Percentages of AMR and MDR was consistently very high in the summer and fall months, whereas it was observed to be lowest in the winter. A remarkably high number of the isolates were detected to be MDR—95% resistant to ≥1 antibiotic, 43% resistant to ≥2 antibiotics, 15% resistant to ≥3 antibiotics, 4.9% resistant to ≥4 antibiotic and 1.2% resistant to ≥5 antibiotics. This data will serve in better understanding the environmental occurrence and dissemination of AMR/MDR in the area and assist in improving and establishing control measures.

Spatiotemporal Differences in Relative Efficiency of Regional Industrial Water Utilization in Xinjiang

2013 ◽  
Vol 726-731 ◽  
pp. 3559-3563
Author(s):  
Wen Hui Lv ◽  
Zhi Gang Gao
Keyword(s):  
Relative Efficiency ◽  
Water Distribution ◽  
Industrial Structure ◽  
Industrial Water ◽  
Water Usage ◽  
Water Utilization ◽  
Productive Water ◽  
Use Efficiency ◽  
Using Data ◽  
Regional Product

DEA was used to estimate the relative efficiency of industrial water in Xinjiang. Using data from 2005 to 2010 for fifteen prefectures in Xinjiang, this research selected productive water usage, employed persons, land area and fixed asset investment as the inputs, and chose gross regional product as the output. The scale redundancy ratio and technical redundancy ratio were also calculated. On the basis, the water utilization relative efficiency was calculated for every prefecture and the spatial-temporal variation of regional industrial water distribution were discussed. The spatial analyses show that the relative efficiency of industrial water utilization is distinctly different among the fifteen prefectures. Agriculture-oriented areas have relatively low water use efficiency, mainly due to the large proportion of agricultural water and seriously wasted water. Every prefecture should adjust the industrial structure and strengthen the agricultural water's conservation according to local condition.

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