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Water waste management is one of the major hassles which is faced by the majority of industries. The industries let the wastewater into flowing streams or rivers near them, polluting the water resources in that locality. To prevent and safeguard the water resources, the government has given much regulation on the quality of the water before it is drained into the water sources. One of the primary problems is the amount of pH which is present in the wastewater. The pH is a highly non-linear quality of the liquids, as a single drop may change the quality to either acidic or alkaline. In this paper, the different proposed methods were used for maintaining the pH of wastewater by using various intelligent controllers. The Nonlinear Autoregressive with External Controller (NARX) and Nonlinear Autoregressive (NAR) under deep neural network is proposed where the NARX model is synthesized based on two different algorithms which involve the Levenberg Marquardt (LM) and Scaled Conjugate Gradient (SCG) for maintaining pH. The controllers are implemented into the process tank of the pilot plant for the determination and neutralization of the pH. The pilot plant is interfaced MATLAB R2019b with the computer as a controller where the controller action for the neutralization is processed. The proposed NAR model did produce better results than the other models, whose settling times were 8.6 seconds and 0.5% overshoot. The NAR model has better results when compared with the other two neural models.

Earth is consisting of land, air and water. Air contains oxygen, nitrogen, carbon dioxide, water vapor, other gases are present above the permissible limit, and it creates effects on human health. It is one of the most important public health issues due to development of urbanization, industrialization and globalization in large cities. Air pollution levels in developed countries have been increased in recent years. In developing countries air pollution levels are still high. In recent years, the health studies have become visible showing harmful health effects in lungs and respirable system. Air pollution is responsible for 7million deaths annually. It affects the health of humans and other living beings in our world. The government has developed the guidelines for air quality and rule to restrict emissions in effort to control air pollution. These updated AQGs provide exact guidelines for PM 10 and pm 2.5. The primary objective of this paper is to study the ambient air quality and its impact on lungs. Particulate matters are the particles suspended in air/atmosphere. Mainly PM10and PM 2.5Ultra fine particles (<1µm) are mainly responsible for causing interruption for human health.PM10 and PM2.5 are characterized by their presence only within the upper respiratory tract. Some PM 2.5 and Ultra fine particles are characterized by their presence deeper regions of alveoli. Ultrafine particles (PM0.1), which are present in the air in large numbers, pose a health risk. They generally enter the body through the lungs but translocation to essential organs. Compared to fine particles (PM2.5) ,they cause more pulmonary inflammation and are retained longer in the lung. Their toxicity is increased with smaller size, larger surface area, adsorbed surface material, and the physical characteristics of the particles. Exposure to PM0.1 induces cough and worsens asthma. Metal fume fever is a systemic disease of lung inflammation most likely caused by PM0.1. The disease is manifested by systemic symptoms hours after severe exposure to PM0.1 could cause systemic inflammation, endothelial dysfunction, and coagulation changes that predispose individuals to cardiovascular disease and hypertension.

Photocatalytic degradation for wastewater treatment is a method that has recently attracted attention. In this research, a synthesized composite of Fe3O4/SiO2/NiO with magnetic properties was used for the photocatalytic degradation of methylene blue dye under UV light. Furthermore, the composites were characterized using XRD, FTIR, BET surface area, SEM-EDS, VSM, and UV-DRS. The results showed that the Fe3O4/SiO2/NiO composite is magnetic with a saturation magnetization of 53.84 emu/g. The Fe3O4/SiO2/NiO composite has a surface area of 128.8 m2/g, large than Fe3O4 and Fe3O/SiO2. The Fe3O4/SiO2/NiO composite has a band gap of 2.83 eV. The photocatalytic activity of Fe3O4/SiO2/NiO composite against the methylene blue dye exhibited high degradation efficiency reaching 98.51 %. The pseudo-first-order is appropriate to describe the kinetics model of photocatalytic degradation on methylene blue dye. The decrease in the degradation efficiency of the Fe3O4/SiO2/NiO composite after 5 times for the photocatalytic degradation of methylene blue dye from 98.02 % to 94.97 % indicates that the catalyst has high stability. Considering these results, the Fe3O4/SiO2/NiO composites could be used as a potential catalyst in industrial wastewater.

Unicellular microalgal culture represents a new opportunity for producing significant biofuel quantities in the future along with other specialty products, due to several major advantages microalgae species present when compared to conventional crops, including much faster growth rates, cultivation in a variety of environments and photobioreactor systems, and almost 100% recycling of nutrients. In the current research, the scaling-up of the cultivation of Chlorella vulgaris microalgae to a 4 m3 pilot-plant photobioreactor is examined, compared to the performance of a 25 L automated laboratory bioreactor. Beyond the size and configuration, the main differences of the two bioreactors are the mode of operation, the illumination nature and depth, the temperature, and pH. Specifically, temperature and illumination are naturally varying from day to day and season to season into the pilot-plant photobioreactor that is set inside a greenhouse. The specific growth factor appears to be higher for microalgal cultivation in the laboratory bioreactor. It is also found that the growth kinetics is severely slowed down during the winter months. This is primarily due to the low temperatures and the poor illumination observed during winter.