scholarly journals FIELD OBSERVATION ON WATER QUALITY AND PRODUCTION OF ATTACHED ALGAE AT RIFFLES AND POOLS

1999 ◽  
Vol 43 ◽  
pp. 1037-1042
Author(s):  
Syunsuke IKEDA ◽  
Yuji TODA ◽  
Yoshihisa AKAMATSU
Keyword(s):  
Water Quality ◽  
Field Observation ◽  
Attached Algae

Application of Data Fusion for Uncertainty and Sensitivity Analysis of Water Quality in the Shenandoah River

2019 ◽  
pp. 1383-1410
Author(s):  
Mbongowo Joseph Mbuh
Keyword(s):  
Water Quality ◽  
Data Fusion ◽  
Field Observation ◽  
Water Quality Modeling ◽  
Coefficient Of Determination ◽  
Water Quality Simulation ◽  
Quality Modeling ◽  
Invaluable Tool ◽  
Using Data ◽  
Very High

This article is aimed at demonstrating the feasibility of combining water quality observations with modeling using data fusion techniques for efficient nutrients monitoring in the Shenandoah River (SR). It explores the hypothesis; “Sensitivity and uncertainty from water quality modeling and field observation can be improved through data fusion for a better prediction of water quality.” It models water quality using water quality simulation programs and combines the results with field observation, using a Kalman filter (KF). The results show that the analysis can be improved by using more observations in watersheds where minor variations to the analysis result in large differences in the subsequent forecast. Analyses also show that while data fusion was an invaluable tool to reduce uncertainty, an improvement in the temporal scales would also enhance results and reduce uncertainty. To examine how changes in the field observation affects the final KF analysis, the fusion and lab analysis cross-validation showed some improvement in the results with a very high coefficient of determination.

Application of Data Fusion for Uncertainty and Sensitivity Analysis of Water Quality in the Shenandoah River

2018 ◽  
Vol 9 (3) ◽  
pp. 31-54
Author(s):  
Mbongowo Joseph Mbuh
Keyword(s):  
Water Quality ◽  
Data Fusion ◽  
Field Observation ◽  
Water Quality Modeling ◽  
Coefficient Of Determination ◽  
Water Quality Simulation ◽  
Quality Modeling ◽  
Invaluable Tool ◽  
Using Data ◽  
Very High

This article is aimed at demonstrating the feasibility of combining water quality observations with modeling using data fusion techniques for efficient nutrients monitoring in the Shenandoah River (SR). It explores the hypothesis; “Sensitivity and uncertainty from water quality modeling and field observation can be improved through data fusion for a better prediction of water quality.” It models water quality using water quality simulation programs and combines the results with field observation, using a Kalman filter (KF). The results show that the analysis can be improved by using more observations in watersheds where minor variations to the analysis result in large differences in the subsequent forecast. Analyses also show that while data fusion was an invaluable tool to reduce uncertainty, an improvement in the temporal scales would also enhance results and reduce uncertainty. To examine how changes in the field observation affects the final KF analysis, the fusion and lab analysis cross-validation showed some improvement in the results with a very high coefficient of determination.

scholarly journals FIELD OBSERVATION ABOUT HYDRAULIC FACTORS INFLUENCING WATER QUALITY IN A TIDAL AREA OF THE ARA RIVER

2002 ◽  
Vol 46 ◽  
pp. 929-934 ◽  
Author(s):  
Yoshiki MOTONAGA ◽  
Yoshinori TAKEUTI ◽  
Manabu DOHI ◽  
Tadashi YAMADA
Keyword(s):  
Water Quality ◽  
Field Observation ◽  
Factors Influencing ◽  
Tidal Area

scholarly journals Study of the Characteristics of Flow Structure and Water Quality in IMARI Bay by means of Field Observation and Numerical Model

2010 ◽  
Vol 66 (1) ◽  
pp. 1021-1025
Author(s):  
Seiji SUZUKI ◽  
Akihide TADA ◽  
Tomoki TAIRA ◽  
Masato SAKAGUCHI ◽  
Kentaro MATSUMOTO ◽  
...  
Keyword(s):  
Water Quality ◽  
Numerical Model ◽  
Flow Structure ◽  
Field Observation

scholarly journals FIELD OBSERVATION OF WATER QUALITY CHANGE IN RESPONSI TO TIDAL VARIATION IN NAGATSURA-URA LAGOON

2005 ◽  
Vol 49 ◽  
pp. 1261-1266 ◽  
Author(s):  
Manabu KANESATO ◽  
Hitoshi TANAKA ◽  
Mitsuru TAKASAKI ◽  
Hiroto YAMAJI
Keyword(s):  
Water Quality ◽  
Field Observation ◽  
Quality Change ◽  
Tidal Variation ◽  
Water Quality Change

scholarly journals Management of Arfak Rainbow Fish Based on Bioecologycal Aspect (Case in Some River in Manokwari)

2018 ◽  
pp. 119
Author(s):  
Mariance Y. Kaliele ◽  
Roni Bawole ◽  
Irma E Kawulur
Keyword(s):  
Water Quality ◽  
Chemical Oxygen Demand ◽  
Flow Rate ◽  
Field Observation ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Biological Oxygen Demand ◽  
Water Quality Parameters ◽  
Fish Sample

The aim of this research is to study the bioecological aspect of Arfak Rainbowfish, distribution long-wieght frequency and management of endemic arfak rainbow fish in Manokwari. This study conducted for five months from 7 September 2015 to 9 Januari 2016. Fish sample were collected from Prafi river, Nimbai river and Aimasi river and brought to fisheries laboratory. The method of this research is descriptive methode with field observation. The result of water quality parameters are temperature average 30.01oC±1,06oC, flow rate is slow 0.92±0,12, the pH 7,80±0,12, oxygen solute 5,38±0,24, average biological oxygen demand for Prafi river 4 mg/L, Nimbai river 3.1 mg/L, Aimasi river 5.2 mg/L and chemical oxygen demand for Prafi river 8.3 mg/L, Nimbai river 14.2 mg/L dan Aimasi river 7.4 mg/L. Long-weight relation shows that the growth is alometric negative (b<3). The management that could be done is reboisation and management of catching that should not be done at the time fish is mature or ready to mate.

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