Effects of human activities on benthic macroinvertebrate community composition and water quality in the upper catchment of the Mara River Basin, Kenya

2015 ◽  
Vol 20 (2) ◽  
pp. 128-137 ◽  
Author(s):  
Zipporah Gichana ◽  
Murithi Njiru ◽  
Phillip Okoth Raburu ◽  
Frank Onderi Masese
Keyword(s):  
Water Quality ◽  
Community Composition ◽  
River Basin ◽  
Human Activities ◽  
Macroinvertebrate Community ◽  
Benthic Macroinvertebrate

Quantifying the impact of human activities on water quality based on spatialization of social data: a case study of the Pingzhai Reservoir Basin

2020 ◽  
Vol 20 (2) ◽  
pp. 688-699 ◽  
Author(s):  
Yongrong Zhang ◽  
Zhongfa Zhou ◽  
Haotian Zhang ◽  
Yusheng Dan
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Human Activities ◽  
Water Environment ◽  
Oxygen Demand ◽  
Pollution Source ◽  
Pollution Load ◽  
Social Data ◽  
Reservoir Basin ◽  
The Impact

Abstract In water pollution source research, it is difficult to quantify the impact of human activities on water quality. Based on pollution load theory and the concept of spatialization of social data, this study integrates land-use type, slope gradient, and spatial position, and uses the contribution of human activities to quantify the impact of farmland fertilizers, livestock and poultry wastes, and human domestic pollution on water quality in the study area. The results show that livestock manure is the largest source of total phosphorus (TP) and total nitrogen (TN) discharges in the research area, and domestic pollution is the largest source of chemical oxygen demand (COD) discharges. The total equal standard pollution load (as well as the load of each pollution source and its pollutant amount) is the highest in the Nayong River Basin and the lowest in the Baishui River Basin. The contributions of human activities to TP and TN have similar spatial distributions. The impact of human activities on COD discharge is minimal. The quantitative results of this model are basically consistent with the actual conditions in the Pingzhai Reservoir Basin, which suggests that the model reasonably reflects the impact of human activities on the water environment of the basin.

scholarly journals Metal-induced shifts in benthic macroinvertebrate community composition in Andean high altitude streams

2010 ◽  
Vol 29 (12) ◽  
pp. 2761-2768 ◽  
Author(s):  
Raúl A. Loayza-Muro ◽  
Rafaela Elías-Letts ◽  
Jenny K. Marticorena-Ruíz ◽  
Edwin J. Palomino ◽  
Joost F. Duivenvoorden ◽  
...  
Keyword(s):  
High Altitude ◽  
Community Composition ◽  
Macroinvertebrate Community ◽  
Benthic Macroinvertebrate

The effects of geothermal water inflow on longitudinal changes in benthic macroinvertebrate community composition of a temperate stream

2013 ◽  
Vol 38 (5) ◽  
pp. 255-263 ◽  
Author(s):  
Ivana Živić ◽  
Miroslav Živić ◽  
Djuradj Milošević ◽  
Katarina Bjelanović ◽  
Sanja Stanojlović ◽  
...  
Keyword(s):  
Community Composition ◽  
Macroinvertebrate Community ◽  
Geothermal Water ◽  
Water Inflow ◽  
Benthic Macroinvertebrate ◽  
Longitudinal Changes ◽  
Temperate Stream

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 Assessing the ecological impact of banana farms on water quality using aquatic macroinvertebrate community composition

2017 ◽  
Vol 25 (14) ◽  
pp. 13373-13381 ◽  
Author(s):  
Ola Svensson ◽  
Angelina Sanderson Bellamy ◽  
Paul J. Van den Brink ◽  
Michael Tedengren ◽  
Jonas S. Gunnarsson
Keyword(s):  
Water Quality ◽  
Community Composition ◽  
Ecological Impact ◽  
Macroinvertebrate Community ◽  
Aquatic Macroinvertebrate
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