The present study is focused on the determination of physicochemical parameters such as color, odor, pH value (at 25^oC), total hardness, turbidity, total dissolved solids content, dissolved oxygen content, chemical oxygen demand, fluoride content, chloride content, magnesium content, residual free chlorine content, sulfate content, total alkalinity content, iron content, cadmium content, mercury content, arsenic content, chromium content and lead content of various water samples collected from different sampling points (pond, stream, bore-well, etc.) in Surya Nagar of Madurai district in Tamil Nadu, India. In order to ensure that the water is safe for drinking and other uses, the above-mentioned parameters were analyzed and compared with the standard permissible limits to assess the best designated use of this water for various purposes. Escherichia coli (E. coli) and total coliform study was also made. The results obtained indicate that this water can be used for agricultural purposes, cattle washing, human bathing, etc. and proper purification is needed, when used for the drinking purpose.

Greenhouse environmental factors are the key factors in improving crop production decisions and economic benefits. In order to build a demand-oriented greenhouse environmental factor prediction model, the study monitored the environment of 10 solar greenhouses in the spring, autumn, and winter of 2021, collected six environmental indicators, including air temperature and humidity, soil temperature and humidity, light intensity, and carbon dioxide, and conducted correlation analysis on the multiple relationships of environmental factors in different seasons by using the path analysis method. Based on the correlation analysis, the regression model of some environmental indicators in different seasons is established by using stepwise regression analysis, and the accuracy of the model is verified.  The results showed that in spring, the air temperature and soil temperature fitted well (R² =0.85, 0.85), but the air humidity and soil humidity model were poor (R²=0.66, 0.08). In autumn, the air temperature and soil temperature (R²=0.71, 0.95), while the air humidity and soil humidity were poor (R² =0.38, 0.40). In winter, the air temperature and soil temperature (R²=0.81, 0.76), while the air humidity and soil humidity were poor (R² =0.38, 0.54). To sum up, the established greenhouse environmental factor coupling model is suitable for simple greenhouse environmental prediction, enabling greenhouse managers to easily predict the trend of greenhouse environmental change, and laying a foundation for the subsequent establishment of a simpler and more accurate greenhouse factor model.

The agriculture sector on the whole planet has been subjected to abrupt climate changes, sudden floods and continuous drought. The nutrition of the planet is in danger taking into account the rate of population growth combating with water resources scarcity on some places. There is a need of improving contemporary irrigation methods, their strategies and management. The efforts of many scientists are directed to develop integrative models for investigating soil water and salute transport processes under different boundary conditions. The MOHID-Land model has been developed in 2016 and simulates the full soil-water-plant-atmosphere transfer system and help to improve agricultural water management. In this paper has been simulated the soil water dynamics of drip irrigated pepper observed in the Experimental field of the Agrarian University - town of Plovdiv, Bulgaria. The obtained data by the simulations has been compared with experimental data performed on 3 depths in two soil layers.