scholarly journals Water quality of macrophyte habitats in rural Japan

2006 ◽  
Vol 51 (3) ◽  
pp. 133-138 ◽  
Author(s):  
Hiroyuki Kobayashi ◽  
Makoto Yamamoto ◽  
Makoto Kunihiro
Keyword(s):  
Water Quality ◽  
Macrophyte Habitats

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.

STUDI PERBANDINGAN KUALITAS AIR BERSIH DALAM KAITANYA DENGAN AKTIVITAS MASYARAKAT DI SEKITAR SUMBER AIR PADA DESA WAINITU, BATUMERAH, AMAHUSU, DAN HALONG

2017 ◽  
Vol 13 (2) ◽  
pp. 111-119
Author(s):  
Lela Uyara ◽  
Pieter Kunu ◽  
Silwanus M Talakua
Keyword(s):  
Water Quality ◽  
Quality Standard ◽  
Total Coliform ◽  
Quality Analysis ◽  
Clean Water ◽  
Water Quality Analysis ◽  
E Coli ◽  
Microbiological Parameters ◽  
Standard Quality

The study aims to determine the quality of clean water in the villages of Wainitu, Batumerah, Amahusu and Halong by comparing the result of water quality analysis with water quality standard. Water quality analysis includes Physiscal, Chemical, and Microbiological parameters. This research uses descriptive method, this method describes systematics, accurate about facts and characteristic of the quality of clean water of each research location. The results showed that the source of clean water in the village of Batumerah did not meet the standard of clean water quality standards indicated by the number of E. coli and the high total coliform.  Keywords: standard quality of clean water, water quality, Wainitu, Batumerah, Amahusu and Halong villages   ABSTRAK Penelitian yang bertujuan untuk menetapkan kualitas air bersih di Desa Wainitu, Batumerah, Amahusu dan Halong, dengan membandingkan hasil analisis kualitas air dengan standar baku mutu air bersih. Analisis kualitas air meliputi parameter fisika, kimia dan mikrobiologi. Penelitian ini menggunakan metode deskriptif; metode ini menggambarkan sicara sistematis, akurat, fakta dan karakteristik mengenai kualitas air bersih di masing-masing lokasi penelitian. Hasil penelitian menunjukkan bahwa sumber air bersih di Desa Batumerah tidak memenuhi standar baku mutu air bersih yang ditunjukkan oleh jumlah E. coli dan total Koliform yang tinggi. Kata Kunci: baku mutu air bersih, Desa Wainitu, Batumerah, Amahusu dan Halong, kualitas air

INFLUENCE OF ROSIA POIENI AND ROSIA MONTANA MINING AREAS ON THE WATER QUALITY OF THE ARIES RIVER

2011 ◽  
Vol 10 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Erika Levei ◽  
Marin Senila ◽  
Mirela Miclean ◽  
Bela Abraham ◽  
Cecilia Roman ◽  
...  
Keyword(s):  
Water Quality ◽  
Mining Areas ◽  
Rosia Montana

Predictive performance modeling of Habesha brewery wastewater treatment plant using artificial neural networks

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Neural Networks ◽  
Water Quality ◽  
Wastewater Treatment ◽  
Artificial Neural Networks ◽  
Performance Modeling ◽  
Predictive Performance ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Artificial Neural

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

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