Using multi-target clustering trees as a tool to predict biological water quality indices based on benthic macroinvertebrates and environmental parameters in the Chaguana watershed (Ecuador)

2011 ◽  
Vol 6 (5) ◽  
pp. 303-308 ◽  
Author(s):  
Luis Dominguez-Granda ◽  
Koen Lock ◽  
Peter L.M. Goethals
Keyword(s):  
Water Quality ◽  
Benthic Macroinvertebrates ◽  
Environmental Parameters ◽  
Quality Indices ◽  
Water Quality Indices ◽  
Biological Water ◽  
Biological Water Quality

scholarly journals Community Analysis and Water Quality of Benthic Macroinvertebrates at Gwangseok stream in Korea

2019 ◽  
Vol 4 (1) ◽  
pp. 97-100
Author(s):  
Man Kyu Huh
Keyword(s):  
Water Quality ◽  
Benthic Macroinvertebrates ◽  
Community Analysis ◽  
Macroinvertebrate Community ◽  
Biotic Index ◽  
Benthic Macroinvertebrate ◽  
Biological Water ◽  
Evenness Indices ◽  
Biological Water Quality

The study was to investigate species composition and biological water quality of benthic macroinvertebrates among localities at Gwangseok stream, Jinhae city in Korea. The identified benthic macroinvertebrates were 781 individuals belonged to 19 species, 14 families, 8 orders, 5 classes and 3 phyla. The value of dominance index (DI) was varied from 0.184 (St. C) to 0.333 (St. A) with a mean of 0.235. DI was significantly different among the four regions. Beck-Tsuda's Biotic Index (BI) was varied from 7 (St. D) to 20 (St. C) with a mean of 14. Total ecological score of benthic macroinvertebrate community (TESB) was varied from 12 (St. D) to 38 (St. B) with a mean of 26.3. Average ecological score of benthic macroinvertebrate community (AESB) was varied from 1.714 (St. D) to 1.900 (St. B) with a mean of 1.821. Benthic macroinvertebrate index (BMI) ) was varied from 22.354 (St. A) to 26.474 (St. D) with a mean of 39.756. Shannon-Weaver index (H´) for mammals at the upper regions (St. A and St. B) was higher than those of low regions (St. C and St. D). Berger-Parker’s index (BPI) was varied from 0.218 (St.. C) to 0.346 (St. A). Richness (R1) was different from each other and R2 was not shown significant differences (p < 0.05). Evenness indices (E1-E5) for four stations were different from each other, however there were not shown significant differences (p < 0.05).

scholarly journals Biological water quality assessment in the degraded Mutara rangelands, northeastern Rwanda

2019 ◽  
Vol 191 (3) ◽  
Author(s):  
Marie-Claire Dusabe ◽  
Torsten Wronski ◽  
Guilherme Gomes-Silva ◽  
Martin Plath ◽  
Christian Albrecht ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Water Quality Assessment ◽  
Biological Water ◽  
Biological Water Quality

Application of water quality indices for evaluating water quality and anthropogenic impact assessment

2018 ◽  
Vol 16 (7) ◽  
pp. 3001-3012
Author(s):  
S. B. Tavakoly Sany ◽  
G. Monazami ◽  
M. Rezayi ◽  
M. Tajfard ◽  
H. Borgheipour
Keyword(s):  
Water Quality ◽  
Impact Assessment ◽  
Anthropogenic Impact ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals PHYSICOCHEMICAL AND BIOLOGICAL WATER QUALITY ASSESSMENT OF LAKE HAWASSA FOR MULTIPLE DESIGNATED WATER USES

2016 ◽  
Vol 9 (2) ◽  
pp. 146-157
Author(s):  
Adimasu Woldesenbet Worako
Keyword(s):  
Water Quality ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Ethiopian Rift ◽  
Trophic State Index ◽  
Monthly Basis ◽  
Biological Water ◽  
State Index ◽  
Rift Valley Lakes ◽  
Biological Water Quality

Lake Hawassa is one of the Major Ethiopian Rift Valley Lakes which is situated in southern regional state, which has a closed basin system and receives water from only Tikurwuha River and runoff from the catchment. Quality of the lake water is vital for the surrounding community for proper and safe use of the lake. The present study was designed to examine the physicochemical and biological water quality suitability for multiple purposes and to determine trophic state index of the lake for a period of three months from December to February, 2011/12. Water samples were collected from the lake on monthly basis and analyzed for all water quality parameters by using standard methods. Data analysis was performed by descriptive, multivariate analysis (MANOVA%

scholarly journals Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed

2018 ◽  
Vol 192 ◽  
pp. 02047
Author(s):  
Yopy Arfan ◽  
Dwita Sutjiningsih
Keyword(s):  
Water Quality ◽  
Regression Model ◽  
Pearson Correlation ◽  
Water Quality Monitoring ◽  
Test Method ◽  
Quality Indices ◽  
Water Quality Indices ◽  
Correlation Test ◽  
Impervious Cover ◽  
Water Ecosystems

Urbanization and industrialization lead to the change of land cover from pervious into impervious. This can impact environmental problems such as water quality degradation that affects human health and water ecosystems. The study aimed to develop a regression-correlation model between impervious cover in Ciliwung watershed and water quality indices in Ciliwung river. The correlation-regression model can be used to predict changes in the status of Ciliwung river water quality due to impervious cover changes. Methods of assessing the indices of water quality are CCME-WQI, NSF-WQI, and STORET within the period of 2005-2016. Monitoring locations from the most upstream to downstream are Atta’awun, Katulampa, Kedung Halang, Pondok Rajeg, Panus Bridge, Kelapa Dua, Condet, Kalibata, MT Haryono and Manggarai. Impervious cover data for each water quality monitoring location is processed using ArcGIS Software. Test of correlation significance between percentage of impervious cover and water quality indices using Pearson Correlation test method. The result of correlation test is significantly a strong inverse relationship between impervious cover and water quality indices. The result of regression test is trend line between impervious cover change and water quality indices that can be used to predict the change of water quality status in Ciliwung River.

Chesapeake Bay Water Quality Indices

1992 ◽  
pp. 1115-1134 ◽  
Author(s):  
Michael S. Haire ◽  
Narendra N. Panday ◽  
Diana K. Domotor ◽  
Dana G. Flora
Keyword(s):  
Water Quality ◽  
Chesapeake Bay ◽  
Quality Indices ◽  
Water Quality Indices

scholarly journals Evaluation of drinking water quality indices (case study: Bushehr province, Iran)

2017 ◽  
Vol 4 (2) ◽  
pp. 73-79 ◽  
Author(s):  
Nematollah Jafarzadeh ◽  
Maryam Ravanbakhsh ◽  
Kambis Ahmadi Angali ◽  
Ahmad Zare Javid ◽  
Darioush Ranjbar Vakil Abadi ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Quality ◽  
Quality Indices ◽  
Water Quality Indices
Sign in / Sign up

Export Citation Format

Share Document