the quality of the river water is assessed in different months in different stations to evaluate the change in the quality in re1ation with the various point sources along the river. thirteen parameters were measured in the samples manually taken from three meters off shore in 20 cm. depth in four points representing the quality in four reaches under consideration. the results revealed that nat...

Most often, our waterways are being polluted by municipal, agricultural and industrial wastes. When this happens, much of the available dissolved oxygen is consumed by aerobic bacteria in decomposing the waste, thereby robbing other aquatic organisms of the oxygen they need to live. In this paper, we consider the solution of the optimal control problem for the modified Dissolve Oxygen(DO)/ Biol...

the accurate estimation of reaeration rate coefficient, because of its effects on dissolved oxygen in rivers, is one of the most important initial steps of water quality management. the main goal of this paper is to evaluate the effects of reaeration rate coefficient on the river water dissolved oxygen, case study dinachal river, iran. to achieve these aims, water quality samples were collected...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

In this paper, we consider the mathematical formulation and analysis of an optimal control problem for a nonlinear Dissolve Oxygen(DO)/ Biological Oxygen Demand(BOD) system with logistic growth term. In the BOD/DO system studied by Bermúdez [2] this logistic growth term is not included. We study the existence and uniqueness of solution for the nonlinear system as well as the existence and uniqu...

This paper presents a novel, real-time, minimal-latency technique for dissolve detection which handles the widely varying camera techniques, expertise, and overall video quality seen in amateur, semi-professional, and professional video footage. We achieve 88% recall and 93% precision for dissolve detection. In contrast, on the same data set, at a similar recall rate (87%), DCD has more than 3 ...

We survey in a uni...ed framework the recent literature on partnership dissolution in settings where agents have interdependent values. Contrary to the private values case where the main obstacle that hinders the construction of e¢cient trading mechanisms is the asymmetry in initial endowments, we ...nd that informational asymmetries play here a major role. For settings where the ...rst-best ca...

This preliminary study developed a novel cellulose pretreatment method for cost-effective cellulosic utilization using a modified cuprammonium solution as a solvent to dissolve cellulose followed by molecular oxygen/Fenton depolymerization. The modified cuprammonium solution is composed of cuprammonium solution and a special catalyst that could efficiently enhance cellulosic oxygen sensitivity ...