A stochastic model for predicting the probability distribution of the dissolved oxygen deficit in streams

1974 ◽  
Author(s):  
I.I. Esen ◽  
R.E. Rathbun
Keyword(s):  
Probability Distribution ◽  
Stochastic Model ◽  
Dissolved Oxygen ◽  
Oxygen Deficit

Methods for studying dissolved oxygen levels in coastal and estuarine waters receiving combined sewer overflows

1995 ◽  
Vol 32 (2) ◽  
pp. 95-103
Author(s):  
José A. Revilla ◽  
Kalin N. Koev ◽  
Rafael Díaz ◽  
César Álvarez ◽  
Antonio Roldán
Keyword(s):  
Dissolved Oxygen ◽  
Coastal Waters ◽  
Computational Cost ◽  
Oxygen Deficit ◽  
Alternative Methods ◽  
Coastal Zones ◽  
Combined Sewer Overflows ◽  
Sewer Systems ◽  
Combined Sewer ◽  
High Computational Cost

One factor in determining the transport capacity of coastal interceptors in Combined Sewer Systems (CSS) is the reduction of Dissolved Oxygen (DO) in coastal waters originating from the overflows. The study of the evolution of DO in coastal zones is complex. The high computational cost of using mathematical models discriminates against the required probabilistic analysis being undertaken. Alternative methods, based on such mathematical modelling, employed in a limited number of cases, are therefore needed. In this paper two alternative methods are presented for the study of oxygen deficit resulting from overflows of CSS. In the first, statistical analyses focus on the causes of the deficit (the volume discharged). The second concentrates on the effects (the concentrations of oxygen in the sea). Both methods have been applied in a study of the coastal interceptor at Pasajes Estuary (Guipúzcoa, Spain) with similar results.

A new discrete distribution arising in a model of DNA replication

2001 ◽  
Vol 38 (03) ◽  
pp. 754-760 ◽  
Author(s):  
Richard Cowan
Keyword(s):  
Dna Replication ◽  
Probability Distribution ◽  
Stochastic Model ◽  
Discrete Distribution ◽  
Recent Theory

During DNA replication, small fragments of DNA are formed. These have been observed experimentally and the mechanism of their formation modelled mathematically. Using the stochastic model of Cowan and Chiu (1992), (1994), we find the probability distribution of the number of fragments. A new discrete distribution arises. The work has interest as an application of the recent theory on quasirenewal equations in Piau (2000).

Use of the water quality index and dissolved oxygen deficit as simple indicators of watersheds pollution

2007 ◽  
Vol 7 (2) ◽  
pp. 315-328 ◽  
Author(s):  
Enrique Sánchez ◽  
Manuel F. Colmenarejo ◽  
Juan Vicente ◽  
Angel Rubio ◽  
María G. García ◽  
...  
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Deficit

scholarly journals DAYA TAMPUNG SUNGAI REMBAGAN TERHADAP BEBAN PENCEMARAN MENGGUNAKAN METODE STREETER-PHELPS

2021 ◽  
Vol 10 (2) ◽  
pp. 209
Author(s):  
Sri Wahyuningsih ◽  
Elida Novita ◽  
Irfan Dwi Satya
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Agricultural Waste ◽  
Oxygen Deficit ◽  
Research Needs ◽  
Agricultural Activities ◽  
Class Iii ◽  
Pollution Load ◽  
Community Activities

Rembagan River is the main tributary of the Bedadung River in Cangkring Village, Patrang District, Jember Region. Various community activities in the Rembagan River area such as bathing, washing, defecating and urinating as well as agricultural activities will produce domestic and agricultural waste. These wast can cause river water pollution, especially water quality degradation. then the research needs to be done an analysis of the capacity of the Rembagan River in receiving pollution costs. The purpose of this study is to find out how much the ability of the Rembagan River to accept the burden of pollutants using the Streeter-Phelps method. Streeter-Phelps modeling takes into account two phenomena, namely the process of measuring dissolved oxygen (deoxygenation) and the process of increasing dissolved oxygen (reaeration). The results obtained from these calculations are oxygen drop curves determined on the basis of oxygen deficit values. The average values of deoxygenation rate and reoxygenation rate were sequentially 1.58931 mg/L/day and 10.09982 mg/L/day. So that self-purification can run well which means the water quality of the Rembagan River was still relatively good. This can be seen in the DO model pattern that goes up in each segment. The actual DO of 5.6760 mg / L was greater than the DO standard of class III quality of 3 mg / L. It can be interpreted that the Rembagan River still has a remaining DO of 2.676 mg / L and was still able to accept pollution cost of 18.8 kg/day. Keywords:  pollution load, Rembagan River, river capacity

Operational Risk Evaluation of an Ice Feature Impact

1990 ◽  
Vol 112 (1) ◽  
pp. 96-101
Author(s):  
A. B. Dunwoody
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Probability Distribution ◽  
Stochastic Model ◽  
Risk Evaluation ◽  
Joint Probability ◽  
Joint Probability Distribution ◽  
Offshore Structure ◽  
Simple Stochastic Model ◽  
General Method

The risk of impact by a particular ice feature in the vicinity of an offshore structure or stationary vessel is of concern during operations. A general method is presented for calculating the risk of an impact in terms of the joint probability distribution of the forecast positions and velocities of the ice feature. A simple stochastic model of the motion of an ice feature is introduced for which the joint probability distribution of ice feature position and velocity can be determined as a function of time. The risk of an impact is presented for this model of the motion of an ice feature. Predictions of the distributions of the time until impact and the drift speed upon impact are also presented and discussed. Predictions are compared against results of a Monte Carlo simulation.

Probability distribution for a stochastic model of the motion of ore during discharge

1971 ◽  
Vol 7 (1) ◽  
pp. 24-28
Author(s):  
V. R. Imenitov ◽  
V. F. Abramov ◽  
V. A. Gorbunov
Keyword(s):  
Probability Distribution ◽  
Stochastic Model

The limiting conditional probability distribution in a stochastic model of T cell repertoire maintenance

2010 ◽  
Vol 224 (2) ◽  
pp. 74-86 ◽  
Author(s):  
Emily R. Stirk ◽  
Grant Lythe ◽  
Hugo A. van den Berg ◽  
Gareth A.D. Hurst ◽  
Carmen Molina-París
Keyword(s):  
T Cell ◽  
Probability Distribution ◽  
Stochastic Model ◽  
Conditional Probability ◽  
T Cell Repertoire ◽  
Cell Repertoire ◽  
Conditional Probability Distribution
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