Water quality. Guidance standard for the surveying, sampling and laboratory analysis of phytobenthos in shallow running water

2015 ◽  
Keyword(s):  
Water Quality ◽  
Laboratory Analysis ◽  
Running Water

scholarly journals Kajian kualitas air pada area budidaya kurungan jaring tancap (KJT) di Danau Tutud Desa Tombatu Tiga Kecamatan Tombatu Kabupaten Minahasa Tenggara

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Christian Tokah ◽  
Suzanne L. Undap ◽  
Sammy N.J. Longdong
Keyword(s):  
Water Quality ◽  
Good Condition ◽  
Laboratory Analysis ◽  
Ex Situ ◽  
Primary Data ◽  
Physical Parameters ◽  
Chemical Parameters ◽  
Research Activities ◽  
Physical And Chemical Parameters ◽  
Physical And Chemical

The aim of this study was to measure and assess the physical and chemical parameters of water quality in the area of ​​fixnet cage cultureat Lake Tutud Tombatu TigaVillagewhich included temperature, pH, DO, TDS, NO3, NO2, NH3 and PO4 in a different time.This research was conducted from August to November 2016. The research activities consisted of direct measurements in the field (in situ) using a Horiba instrument and laboratory analysis (ex situ) at the Agency for Industrial Research and Development Research Institute of Standardization and Industrial Manado. Determination points were done by purposive sampling which refers to the physiographic location wherever possible in order to represent or describe these waters.Water quality measured at4 stations using a Horiba at a depth of 0.5 meters from the bottom of the lake.Station I represented Inlet water, Station II where the cultivation A, Station III where the cultivation B and Station IVwhere no cultivation. The data obtained and collected were primary data i.e., measurement of physical and chemical parameters of water quality as well as watching for signs of sick fish, dead fish, and the growth of farmed fish.The results showed the water temperature ranged between 28-29 ° C, TDS 0266-0412 mg/L and chemical parameters for dissolved oxygen 2-5 mg/L, pH 7-8 and for the results of laboratory analysis, N03(0.7 - 6.3 mg/L), NO2(0001-0002 mg/L), NH3 (0180-1920 mg/L), PO4(0020-0209 mg/L). In general, the existence of water quality of lake Tutud were still in good condition except for NH3 concentrationthat exceeded quality standard limitsof Government Regulation No. 82 of 2001. Basically lake Tutud can still be used for fish farming, but the addition of new cages were not recommended.   Keywords: Lake Tutud,water quality, physical parameters, chemical parameters, fix net cage

scholarly journals Rapid Assessment of Water Quality in Teluk Lake by Using Macroinvertebrates (A Family Level Biotic Index)

2018 ◽  
Vol 68 ◽  
pp. 04006
Author(s):  
Siswanta Kaban ◽  
M. Edi Armanto ◽  
M. Rasyid Ridho ◽  
Poedji L. Hariani
Keyword(s):  
Water Quality ◽  
Anthropogenic Activities ◽  
Rapid Assessment ◽  
Working Party ◽  
Biotic Index ◽  
Average Score ◽  
Running Water ◽  
Three Stages ◽  
Polluted Waters

In this study the water quality of Teluk Lake, Jambi Province by biological indices using macroobenthic during December 2017 to March 2018 were evaluated. Macro obenthic have been the most commonly indicator of running water quality to rapidly detect water quality changes. The methodology consisted on three stages: 1) macro invertebrates sampling and and sorting of the organisms in laboratory, 2) taxonomic identification of organisms and 3) determination and scoring with the Biological Monitoring Working Party -Average Score per Taxon (BMWP-ASPT) index. Result of water quality of Teluk Lake based on the diversity of macroinvertebrates was degraded with BMWP-ASPT index below 4. Based on the BMWP-ASPT score of the macroinvertebrates, both of sampling 1 and 2 were polluted with the category of medium and heavily polluted. In general, the decreasing of water quality of Teluk Lake was due to anthropogenic activities, so that the intolerant macro invertebrates could not survive in polluted waters while the tolerant ones can adapt well to the polluted aquatic environment.

scholarly journals Development of an Irrigation Water Quality Database to Identify Water Resources and Assess Microbiological Risks During the Production of Fresh Fruits and Vegetables

2021 ◽  
Vol 3 ◽  
Author(s):  
Elizabeth A. Bihn ◽  
Kurt J. Mangione ◽  
Bill Lyons ◽  
Annette L. Wszelaki ◽  
John J. Churey ◽  
...  
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Irrigation Water ◽  
Geometric Mean ◽  
Specific Conductance ◽  
Irrigation Water Quality ◽  
Reservoir Water ◽  
Probable Number ◽  
Running Water ◽  
E Coli

An Irrigation Water Quality Database was developed to help assess the microbiological quality of irrigation water used in fruit and vegetable production in 15 counties in New York (NY) State. Water samples from Tennessee (TN) were also included in the database. Four water quality parameters, quantified generic Escherichia coli, specific conductance, pH, and turbidity, were tested. Ground, reservoir, and running water were sampled over 2 years (2009 and 2010), covering three seasons each year (spring, summer, and fall). TN data are for all three seasons in 2010 only. Overall in NY (254 total samples), ground water had a geometric mean of 1 most probable number (MPN)/100 ml, reservoir water had a geometric mean of 8 MPN/100 ml, and running water had a geometric mean of 52 MPN/100 ml. Overall in TN (63 total samples), ground water had a geometric mean of 1 colony forming unit (CFU)/100 ml, reservoir water had a geometric mean of 5 CFU/100 ml, and running water had a geometric mean of 38 CFU/100 ml. These values are all below the 126 MPN/100 ml United States Environmental Protection Agency's Ambient Water Quality Standards (AWQS) standard for fresh water. The presence of E. coli had very weak but sometimes statistically signficiant correlatation with water specific conductance, pH, and turbidity, depending on the water source but the r-squared effect was not strong enough to make the other measurements a substitute for testing specifically for E. coli in water.

A landscape-based predictive approach for running water quality assessment: A Mediterranean case study

2016 ◽  
Vol 30 ◽  
pp. 27-31 ◽  
Author(s):  
Alessandro Manfrin ◽  
Pierluigi Bombi ◽  
Lorenzo Traversetti ◽  
Stefano Larsen ◽  
Massimiliano Scalici
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Running Water ◽  
Predictive Approach

scholarly journals Integrating running water monitoring tools with the Micro Biological Survey (MBS) method to improve water quality assessment

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0185156 ◽  
Author(s):  
Lorenzo Traversetti ◽  
Francesca Losito ◽  
Alyexandra Arienzo ◽  
Ottavia Stalio ◽  
Giovanni Antonini ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Water Monitoring ◽  
Running Water ◽  
Biological Survey ◽  
Monitoring Tools ◽  
Improve Water Quality

Composition of macroinvertebrate feeding groups as a bioindicator of running water quality

2000 ◽  
Vol 27 (5) ◽  
pp. 3066-3069 ◽  
Author(s):  
Petra Podraza ◽  
Helmut Schuhmacher ◽  
Mario Sommerhäuser
Keyword(s):  
Water Quality ◽  
Running Water ◽  
Feeding Groups
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