The study of drought factors to analyze and manage water is very important. The main contributing factor to drought is unusual summer weather wind pressure and air mixtures include water vapor and water droplets. In this factors can be analyzed for rainfall in the lower central river basin area and the preliminary data of the research used to analyze drought from Thai Meteorological Department (TMD). This research analyzes the factors that cause drought including rainfall temperature pressure wind and precipitation. The Multiple linear regression analysis used to determine the relationship of factors causing drought. It was found that rainfall had a statistically significant relationship with temperature and pressure. In addition using the Geographic Information System (GIS) an analysis of rainfall in the lower central river basin from October 1920 to September 2021 to found that from August to October there is a lot of heavy rainfall according to the multiple linear regression equation. Therefore the created multiple linear regression equations can be effectively used in the analysis of drought areas in the lower central river basin area.

This research aimed to study the causes of changes in water quality and compare the water quality in Khlong Bang Khen Mai when the seasons and sampling points are different. These factors may cause a change in water quality. A total 50 of water samples were collected from 5 sampling points each point approximately 300 meters apart for a total distance of 1.5 kilometers. They cover three seasons such as winter (October 2020 to February 2021) summer (March to May 2021) and rainy (June and July 2021). Three parameters of this research which consist of both the chemical and physical quality parameters are pH Dissolved Oxygen (DO) and Electrical Conductivity (EC). The result shows that the average pH has ranged from 7.10 - 7.74 the dissolved oxygen (DO) was in 1.80 - 2.84 mg/L and the electrical conductivity (EC) was in the range of 327 - 517 μs/cm. A two-way analysis of variance is a statistical method used to compare the water quality in Khlong Bang Khen Mai. The results indicate that the test differences between seasons affected the change in water quality in all parameters with a statistically significant level of 0.05. Afterward the comparison of multiple comparisons by Scheffes method showed that the pH and dissolved oxygen (DO) in the rainy season were significantly different from winter and summer at the level of 0.05. For the electrical conductivity (EC) there was significant differences between summer and winter at the 0.05 level.

The purposes of this research were to investigate and present the component of digital platform to support financial transactions for the elderly. The data were collected using questionnaires which aimed to collect the data from 385 elderly. The collected data were analyzed by Exploratory factor analysis Elements are extracted using parent element method and orthogonally rotated element axis with Varimax method. The findings of the data analysis indicate that digital platform to support financial transactions for the elderly. The eigen values were in the range of 1.48 to 16.75. The sum of squared loading cumulative ware 64.30. There were four factors: 1) Digital Platform Features 2) Security for digital platforms 3) Conducive to physical performance of the elderly and 4) Types of digital platform service usage.

Voltage drop is one of the power quality problems affecting power users. This happens due to the higher demand for electric power. Or a short circuit in the transmission system. This causes a voltage drop is one of the power quality problems affecting power users. This happens due to the higher demand for electric power. Or a short circuit in the transmission system. This results in drop in Solving of voltage drop problems in power distribution model with distributed generator were presented with MATLAB program by installing a generator in the distribution system. Therefore simulated a case study 5 case 1 simulation by not installing a generator at any bus case 2 simulation by installing a Generator at bus 1 case 3 Simulation by installing a Generator at bus 18 case 4 simulation by Generator installed at bus 33 and case 5 simulation by Generator installed at bus 13 17 21 31 to study the suitable location of generator installation to solve the problem of voltage drop.

Analysis of the connection between herd immunity and vaccination uses a model for spreading infectious diseases with injections vaccines in three forms. The results were analyzed using complete graph to determine the relationship of group immunity to vaccination under the three forms hypothesis of vaccinations against the spread of infectious diseases and drawing a graph from Gephi program. The results showed that herd immunity was directly related to the number of people vaccinated. If the number of people vaccinated is high herd immunity will occur. But if the number of people vaccinated is low herd immunity will be difficult.