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250 million people worldwide suffer from visual impairment. 64% of them wear glasses. More than 80 percent of all eyeglasses worn today have plastic lenses. Plastic lenses made of polycarbonate discs are created through the process of machining which requires the use of a coolant. The ensuing wastewater contains chips, water, and coolant. In the studied facility, the chips are separated by filtration. Water and coolant are returned to the machine tool. Due to the low particle weight some of the plastic dust flotates and creates foam. If there is too much foamed dust, a skimmer is added. In order to avoid machine damage and product quality deterioration, the mixture in circulation is changed every 24 hours. For the purpose of the study, wastewater was sampled from the plastic lenses facility. It was characterized by a high COD value of 11 200 - 20800 mg/L, a turbidity of 260-870 NTU, and a colour of about 200 mg/L. Wastewater with these parameters should not be discharged into the sewage system. For their treatment, a coagulation process (PAX 18 and PAX XL 19 H, Tanfloc SG) and Fenton process were applied. The application of aluminum coagulants resulted in a maximum reduction of COD of 55%. Maximum COD reduction after the Fenton process was 50.7%.

Because of its better physio-chemical qualities, biofuel is indeed a viable substitute source of energy for diesel vehicles. The biofuels used in this study is synthesized from pumpkin seed oil using the esterification reaction technique. The biodiesel was synthesized under ideal conditions and was employed to evaluate the impact of injection pressure varying from 200 to 275 bar in 25 bar increments and was tested for its effectiveness, combustions and the emission performance of 1 cylinder, 4 stroke DI diesel engine at a regular momentum of 1500 rpm using 25% Pumpkin seed biodiesel (PSBD25). The outcomes demonstrated that the BTE of PSBD25 be raised by 1.68 %, the release of CO, HC, and smoke were diminished, but NO emissions were boosted at higher IP of 250 bar compared to the standard IP of 200bar. Pressure of Cylinder and heat release rate for PSBD25 were increased for PSBD25, but ignition delay was shortened when compared to PSBD25 at standard IP of 200 bar. It is concluded that, there is a greater progress in performance and ignition features, as well as a reduction in exhaust gas release for PSBD25 with the exception of NO emissions at 250 bar IP at maximum load conditions.

In coastal lagoons, eutrophication is a significant ecological and environmental problem. The majority of the pollution and deterioration problems that coastal zones and their ecosystems face are due to human influence through urbanization and industrialization. In this research, evaluations of water quality were made throughout a few lagoons in India during both the wet and dry seasons to establish their suitability for harboring aquatic life and the impact of seasonality on their quality. In order to reduce the effect of environmental influences on sensor based on nanoparticle sensitive film, an enhanced deep Back Propagation (BP) neural system was developed. The incompatibility between high performance and low calculation time was typically found in today’s modern sensor compensation techniques. Moreover, higher recognition errors were always the outcome of weak self-learning abilities. To solve these problems, a 16-layer deep BP neural network model was developed after hyper parameter searching. In Addition, the stochastic gradient descent (SGD) method and the mini-batch method were employed to achieve a proper balance between model performance and training time difficulties. The enhanced deep BP neural network was a great compensation solution for the sensor used in complicated environments due to its self-learning and self-adaptability. The proposed method is named as Imp_BPNN_SGD is analyzed in terms of various parameters and found that it achieves 35.6% of RMSE, 21.6% of MAE, 19.6% of RAE and 97.2% of D2

In order to provide corresponding suggestions for the establishment and development of China's carbon trading market mechanism, the three-party game model of the competent government departments, carbon emission enterprises and third-party verification institution in the initial allocation of carbon emission rights and the rotation bargaining game model in the secondary carbon trading market are solved and analyzed in this paper. The results show that the competent government departments should improve the review efficiency effectively to reduce cost by outsourcing the review work to universities, research institutes and other scientific research units and increasing punishment for the collusion behavior between the carbon emission enterprises and third-party verification institution. At the same time, the competent government departments should adopt the regular regulatory policies to deal with collusion behavior and reduce the sampling proportion to cut cost of government review. The trading center should directly determine transaction price in combination with the forces of buyers and sellers, and make matchmaking trading directly by selecting the qualified buyers and sellers at the secondary carbon trading market in process of bilateral open bidding.