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A One-dimensional Salinity Measurement Model in the Chao Phraya River with the Chao Phraya Barrage Dam Using a Shooting Method
(2023-03-01)
Vanishkorn, Buddhaporn
;
Pochai, Nopparat
Sea water receding from the Gulf of Thailand causes salinity diffusion in the Chao Phraya River, Thailand, and the amount of northern water is reduced in the dry season. It has an impact on people, particularly the generation of tap water. The Samlae raw water pumping station is the major pumping station. The Ban Krachaeng subdistrict is located in Mueang district, Pathum Thani province, and is affected by saltwater intrusion, which causes the salinity level to exceed the recommended threshold. In order for the Metropolitan Waterworks Authority (MWA)'s water supply system to achieve the standard, the salinity index at the Samlae raw water pumping station is controlled to not exceed the surveillance threshold of 0.25 g/l in this research. A barrage dam consists of a number of large gates that can be opened or closed to control the amount of fresh water passing through. There is a Chao Phraya barrage dam which is across the Chao Phraya River at Chai Nat, the northern part of the focused area. The objective of this research is to demonstrate a onedimensional steady-state salinity measurement model in a river with a barrage dam. Irrigation is done in rivers with dams using the shooting method to estimate the solution. The results obtained from simulating simulated salinity measurements from Phra-Nakhon Tai Power Plant Station to Samlae Station demonstrated that the shooting method can be used to accurately estimate the solution. Freshwater flow velocity and salinity dissolving efficiency were discovered to be the most important elements controlling salinity levels. The suggested salinity control approach may help to regulate the salinity level until it reaches a normal level.
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Irrigation water management strategies for salinity control in the chao phraya river using sualyev finite difference method with lagrange interpolation technique
(2021-01-01)
Othata, Pornpon
;
Pochai, Nopparat
—The problem of salinity in tap water is a very important problem. Drinking water that is higher than the World Health Organization designation can greatly affect peo-ple’s health. In this research, a salinity management model is also applied in a river with a dam with an interpolation process for initial and boundary conditions. An unconditionally stable explicit finite difference scheme with the Lagrange interpolating polynomials for the initial and boundary conditions is utilized to estimate the saltiness level with a few conditions of a proposed model. The suggested computational technique allows for a clear consensus on the effects of realistic implementations for water supply processes.
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A non-dimensional mathematical model of salinity measurement in the chaophraya river using a new fourth order finite difference method with the saulyev technique
(2020-12-01)
Camcoon, Nataya
;
Pochai, Nopparat
Salinity in a river is a measure of the content of salts in water. Salinity intrusion problem pose hazards for a river as well as affecting human health and agriculture. There are two methods to measure the salinity in a river. First, the sampling water method by monitoring stations has been using to collect the actual data. Second, a mathematical model is introduced to predict the salinity in a river. In this research, a mathematical model of salinity measurement in a river with releasing fresh water from a diversion dam effect is proposed. There are two finite difference techniques are introduced to approximate the model solution. The traditional forward time centered space techniques are also introduced. A new fourth order finite difference method is employed to accurately approximate the salinity in a river. A part of the Chaopraya river which is closed to the estuary is experimented. The actual problem is focused in this research. The experiment suggested can be used in many practical measurements of the salinity. The proposed method will predict the salinity level in a period on the future. The computational salinity measurement gives precisely results when the actual salinity and numerical salinity are compared. The proposed numerical simulation can be applied to a salinity forecasting.
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A one-dimensional mathematical simulation to salinity control in a river with a barrage dam using an unconditionally stable explicit finite difference method
(2019-12-01)
Othata, Pornpon
;
Pochai, Nopparat
Salinity refers to the amount of salt in rivers, where the salt can be in many different forms. There are two main methods of defining the concentration of salt in water such as the total dissolved solid measurement (TDS) and the electrical conductivity measurement (EC). The salinity is measured by evaporating water to dryness and weighing the solid residue. The electrical conductivity measurement is measured by passing an electric current through the water and measuring how readily the current flows. The total amount of salt in the water can affect the taste of water. The World Health Organization’s guideline on water palatability is that water with a salinity level of less than about 0.50–0.60 g/L is generally considered to be of a standard level. The drinking-water becomes significantly and increasingly unpalatable at salinity levels greater than about 1.0 g/L. In this research, a one-dimensional mathematical model of salinity measurement in a river is proposed. A modified model of salinity control in a river with a barrage dam is also introduced. An unconditionally stable explicit finite difference technique is used to approximate the salinity level under several conditions from the proposed model. The proposed computational technique gives good agreement results in realistic scenarios for water supply processes.
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A numerical treatment of a couple mathematical models of ground water flow in rice field near marine shrimp aquaculture farm
(2012-02-08)
Pongnoo, Nattawoot
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Pochai, Nopparat
The high level salinity in soil is a main problem of a plant grows less in rice field near marine shrimp aquaculture farm. The salinity in soil and ground water flow are required for soil quality assessments. The modeling often involves numerical methods to solve the equations. In this research, two mathematical models are used to simulate the salinity in the ground with varied flow velocity. The first is a potential flow model that provides the velocity field of the ground water flow. The second is a dispersion model, where the commonly used governing factor is the two-dimensional dispersion equation that gives the salinity fields. In the simulation process, we used the finite difference method for the both models. Finally, we present a numerical simulation that confirms the results of the technique.
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A Numerical computation of non-dimensional form of a mathematical model of soil salinity profile in a rice field near marine shrimp aquaculture farm
(2011-04-08)
Pongnoo, Nattawoot
;
Pochai, Nopparat
The high level salinity of soil is a main problem of a plant grows less in rice field near marine shrimp aquaculture farm. The electrical conductivity of soil is an indicator of soil salinity assessment. The methods to detect the amount of salinity of soil are field measurement and mathematical simulation. In this paper, the direct current model of electric conductivity of soil is used. The Lax-Wendroff method is used to approximate the conductivity of soil in the area near marine shrimp aquaculture farm.

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