Determination of Fecal Coliform Loading and its Impact on River Water Quality for TMDL Development

2006 ◽  
Vol 2006 (9) ◽  
pp. 3851-3874 ◽  
Author(s):  
Brajesh Gautam ◽  
Murthy Kasi ◽  
Wei Lin
Keyword(s):  
Water Quality ◽  
River Water ◽  
Fecal Coliform ◽  
River Water Quality

scholarly journals Evaluation of Uncertainty Propagation Predictions in River Water Quality Modeling

2021 ◽  
Author(s):  
André Fonseca ◽  
Cidália Botelho ◽  
Rui Boaventura ◽  
Vitor Vilar
Keyword(s):  
Water Quality ◽  
Monte Carlo ◽  
River Water ◽  
Fecal Coliform ◽  
Statistical Evaluation ◽  
Water Quality Modeling ◽  
River Water Quality ◽  
Evaluation Framework ◽  
Sensitivity Analyses ◽  
Quality Modeling

Abstract The uncertainty on model predictions to evaluate river water quality is often high to delineate appropriate conclusions. This study presents the statistical evaluation of the water quality modeling system Hydrologic Simulation Program FORTRAN as a tool to improve monitoring planning and mitigate uncertainty in water quality predictions. It also presents findings in determining HSPF model’s sensitivity analysis concerning water quality predictions. The computer model was applied to Ave River watershed, Portugal. The hydrology was calibrated at two stations from January 1990 to December 1994 and validated from January 1995 to December 1999. A two-step statistical evaluation framework is presented based on the most common hydrology criteria for model calibration and validation and, a Monte Carlo methodology uncertainty evaluation approach coupled with multi parametric sensitivity analyses to assess model uncertainty and parameter sensitivity. Fourteen HSPF water quality parameters probability distributions are used as input factors for the Monte Carlo simulation. The simulation results for in stream fecal coliform concentrations was found to be most sensitive to parameters that represent first order decay rate and surface runoff that removes 90 percent of fecal coliform from pervious land surface rather than accumulation and maximum storage rates. Regarding oxygen governing process (DO, BOD, NO3, PO4), benthal oxygen demand and nitrification/denitrification rates were the most sensitive parameters.

scholarly journals Kualitas Air Sungai Dimembe Di Sekitar Pertambangan Emas Tanpa Izin Kecamatan Dimembe Kabupaten Minahasa Utara

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 36
Author(s):  
Christian D. Makatipu ◽  
Harry S.J. Koleangan ◽  
Audy Wuntu
Keyword(s):  
Water Quality ◽  
River Water ◽  
Metal Content ◽  
Quality Standard ◽  
River Water Quality ◽  
Test Results ◽  
Sample Point ◽  
Standard Set ◽  
Sample Points

Telah dilakukan penelitian untuk menentukan tingkat pencemaran air sungai Dimembe  dengan Parameter yang diukur adalah pH, TDS, TSS, DO, BOD, COD serta penentuan kadar logam yaitu Hg, Pb, Cd, Mn dan Cu. Hasil pengujian setiap parameter pada keempat titik sampel secara berturut-turut sebagai berikut : pH : T1 (7,4) T2 (7,06) T3 (7,14) dan T4 (7,35). COD : 2, 8, 3 dan 3 mg/L. BOD : 1, 1,2, 1 dan 1 mg/L. DO : 6,44, 6,64, 6,85 dan 6,64 mg/L.   TSS : 11, 10,5, 12 dan 9,5 mg/L. TDS : 210, 198, 230 dan 242 mg/L. Hg : < 0,0004 mg/L pada keempat titik sampel. Cu :< 0.0004 mg/L pada keempat titik sampel. Pb : T1 < 0,0006 mg/L, T4 < 0,0008 mg/L sedangkan untuk T2 dan T3 tidak terbaca pada alat yang digunakan karena jumlah kandungan logamnya sedikit. Mn :< 0,0008 mg/L pada setiap titik sampel. Cd : 0.002, 0.002, 0.002, dan 0.0014 mg/L. Hasil pengujian untuk setiap parameter dan kandungan logam memiliki nilai yang tidak melewati batas standar baku mutu yang ditetapkan dalam PP No. 82 Tahun 2001 sehingga dapat dinyatakan kualitas air sungainya masih baikResearch has been carried out to determine the level of contamination of Dimembe river water with the parameters measured are pH, TDS, TSS, DO, BOD, COD and determination of metal content namely Hg, Pb, Cd, Mn and Cu. The test results for each parameter on the four sample points are respectively as follows: pH: T1 (7.4) T2 (7.06) T3 (7.14) and T4 (7.35). COD: 2, 8, 3 and 3 mg / L. BOD: 1, 1,2, 1 and 1 mg / L. DO: 6.44, 6.64, 6.85 and 6.64 mg / L. TSS: 11, 10,5, 12 and 9.5 mg / L. TDS: 210, 198, 230 and 242 mg / L. Hg: <0,0004 mg / L on all four sample points. Cu: <0,0004 mg / L on all four sample points. Pb: T1 <0,0006 mg / L, T4 <0,0008 mg / L while for T2 and T3 it is not readable on the tool used because of the small amount of metal content. Mn: <0,0008 mg / L at each sample point. Cd: 0.002, 0.002, 0.002, and 0.0014 mg / L. The test results for each parameter and metal content have values that do not exceed the limits of the quality standard set in PP No. 82 of 2001 so that the river water quality can be stated is still good

scholarly journals Penentuan Status Mutu Air Dengan Metode Indeks Pencemaran Dan Strategi Pengendalian Pencemaran Sungai Ogan Kabupaten Ogan Komering Ulu

2019 ◽  
Vol 17 (3) ◽  
pp. 486
Author(s):  
Enda Kartika Sari ◽  
Oki Endrata Wijaya
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
River Water ◽  
Control Strategy ◽  
Pollution Control ◽  
Fecal Coliform ◽  
Pollution Index ◽  
Water Bodies

Sungai Ogan merupakan sumber air bagi intake PDAM  Kabupaten Ogan Komering Ulu. Kenyataan tersebut, dipandang perlu untuk menentukan evaluasi kualitas air Sungai Ogan yang bersifat kompleks dengan melibatkan banyak parameter yang berpengaruh terhadap badan air serta perlu merumuskan strategi pengendalian pencemaan air yang perlu dilakukan. Penggunaan indeks kualitas air dapat mempermudah penentuan kualitas badan air serta mempermudah juga dalam pemberian informasi kepada pihak yang membutuhkan. Tujuan penelitian ini adalah menentukan status mutu air dan strategi pengendalian pencemaran air sungai Ogan Kabupaten Ogan Komering Ulu. Metode yang digunakan dalam penelitian ini adalah metode purposive sampling dengan menggunaan perhitungan indeks pencemaran air di 5 titik lokasi sampling. Penentuan status mutu air menggunakan metode indeks pencemaran menurut Kepmen LH 115/2003. Parameter yang diamati dan diukur ada 10 paramater dengan menggunakan metode Standar Nasional Indonesia (SNI) pengukuran kualitas air dan limbah, Menurut Peraturan Gubernur Sumatera Selatan No 16/2005 meliputi sifat fisika, kimia dan biologi dari badan air sungai yaitu suhu, kekeruhan, TSS, pH, DO, BOD, Nitrat, Phospat, MBAS dan Fecal Coliform. Hasil yang didapatkan Status mutu air dengan menggunakan indeks pencemaran stasiun 1-5. termasuk dalam kategori tercemar ringan dengan kisaran nilai 1,3 – 2,3. Strategi pengendalian pencemaran sungai dapat dilakukan dengan pengurangan beban pencemaran yaitu dengan melibatkan masyarakat dalam pengelolaan lingkungan sungai dan perlu melakukan efektifitas pengelolaan dan manajemen IPAL yang lebih baik yang lebih melibatkan peran serta masyarakat dalam teknis pengelolaannya, serta perlunya pemantauan rutin kualitas air sungai dan memetakan sumber-sumber pencemar potensial pada setiap lokasi sehingga permasalahan akan cepat teratasi.The Ogan River is a source of water for the intake of the Ogan Komering Ulu Regency PDAM. This fact is deemed necessary to determine the evaluation of the water quality of the Ogan River which is complex by involving many parameters that affect the water body and needs to formulate a water pollution control strategy that needs to be done. The use of a water quality index can facilitate the determination of the quality of water bodies and also facilitate the provision of information to those in need. The purpose of this study was to determine the status of water quality and the control strategy of Ogan Komering Ulu District water pollution. The method used in this study was purposive sampling method by using the calculation of the water pollution index in 5 sampling locations. Determination of water quality status using the pollution index method according to Kepmen LH 115/2003. The parameters observed and measured were 10 parameters using the Indonesian National Standard (SNI) method of measuring water and waste quality, According to the Governor of South Sumatra Regulation No. 16/2005 covering physical, chemical and biological properties of river water bodies namely temperature, turbidity, TSS, pH, DO, BOD, Nitrate, Phosphate, MBAS and Fecal Coliform. Results obtained status of water quality by using station pollution index 1-5. included in the category of light polluted with a range of values 1.3 - 2.3. River pollution control strategies can be carried out by reducing pollution load, namely by involving the community in managing the river environment and need to make better management and management of WWTPs that are more involved community in its technical management, as well as the need for regular monitoring of river water quality and mapping potential pollutant sources at each location so that problems will be quickly resolved

Identifiability and uncertainty analysis of the River Water Quality Model No. 1 (RWQM1)

2001 ◽  
Vol 43 (7) ◽  
pp. 329-338 ◽  
Author(s):  
P. Reichert ◽  
P. Vanrolleghem
Keyword(s):  
Water Quality ◽  
River Water ◽  
Water Quality Model ◽  
River Water Quality ◽  
Model Parameters ◽  
Water Quality Modelling ◽  
Quality Model ◽  
Model Predictions ◽  
Selection Of

State of the art models as used in activated sludge modelling and recently proposed for river water quality modelling integrate the knowledge in a certain field. If applied to data from a specific site, such models are nearly always overparameterised. This raises the question of how many parameters can be fitted in a given context and how to find identifiable parameter subsets given the experimental layout. This problem is addressed for the kinetic parameters of a simplified version of the recently published river water quality model no. 1 (RWQM1). The selection of practically identifiable parameter subsets is discussed for typical boundary conditions as a function of the measurement layout. Two methods for identifiable subset selection were applied and lead to nearly the same results. Assuming upstream and downstream measurements of dissolved substances to be available, only a few (5-8) model parameters appear to be identifiable. Extensive measurement campaigns with dedicated experiments seem to be required for successful calibration of RWQM1. The estimated prior uncertainties of the model parameters are used to estimate the uncertainty of model predictions. Finally an estimate is provided for the maximum possible decrease in prediction uncertainty achievable by a perfect determination of the values of the identifiable model parameters.

Klamath River Water Quality and Acoustic Doppler Current Profiler Data from Link River Dam to Keno Dam, 2007

2008 ◽  
Author(s):  
Annett B. Sullivan ◽  
Michael L. Deas ◽  
Jessica Asbill ◽  
Julie D. Kirshtein ◽  
Kenna D. Butler ◽  
...  
Keyword(s):  
Water Quality ◽  
River Water ◽  
Acoustic Doppler Current Profiler ◽  
River Water Quality ◽  
Klamath River ◽  
Current Profiler ◽  
Profiler Data

MODELING THE ORGANIC REMOVAL AND OXYGEN CONSUMPTION BY BIOFILMS IN AN OPEN-CHANNEL FLOW

1994 ◽  
Vol 30 (2) ◽  
pp. 53-61 ◽  
Author(s):  
Shiyu Li ◽  
Guang Hao Chen
Keyword(s):  
Water Quality ◽  
Oxygen Consumption ◽  
River Water ◽  
Channel Flow ◽  
Diffusion Layer ◽  
Open Channel ◽  
Open Channel Flow ◽  
River Water Quality ◽  
Monod Kinetics ◽  
Organic Removal

A mathematical model is proposed to predict the removal of dissolved organic substances and the consumption of dissolved oxygen by attached biofilms in an open-channel flow. The model combines the biofilm equations with the conventional Streeter–Phelps type equations of river water quality by considering the mass transfer of organics and oxygen in the river water through the diffusion layer into the biofilm. It is assumed that the diffusion and reaction within the biofilm are of steady-state, and follow Monod kinetics. The model is solved numerically with a trial-and-error method. The simulation results of the model for an ideal case of river flow and biofilm show that the organic removal rate and oxygen consumption rate caused by the biofilm are greater than that by suspended biomass. The effects of diffusion layer thickness, flow velocity, and biofilm thickness on the change of river water quality are discussed.

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