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Polyhouse type solar dryer (PSD) consist of drying chamber, drying trays and exhaust fan was developed for drying fruits and vegetables. The relative humidity (RH) inside the PSD varied in between 21 to 74% as compared to outside RH which ranged from 40 to 75%. The performance was found suitable and resulted in efficient drying at low RH. The thermal performance test for PSD under full and no load testing conditions were calculated. The temperature inside the dryer was 62 to 76% higher than the ambient conditions. PSD was helpful in reducing the drying ranging from 33 to 53%. The capacity of PSD was 100-150 kg per batch. The economic cost of solar dryer was compared with mechanical drying for beneficial to local producer. The cost of PSD Rs 80,000 could recover within the period of 1.5 years by adopting solar drying technology.

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Water distribution networks are crucial for supplying consumers with quality and adequate water. A water distribution system comprises connected hydraulic components which ensure water supply and distribution to meet demand. Optimization of water distribution networks is carried out to minimize resource utilization and expenditure or maximize the system’s efficiency and higher benefits. Genetic algorithms signify an effective search technique for non-linear optimization problems and have gained acceptance among water resources planners and managers. This paper reviews various developments in the optimization of water distribution systems using the technique of genetic algorithms. These developments are pertinent to creating novel systems for distributing water and the expansion, reinforcement, and rehabilitation process for prevailing water supply mechanisms. Graphical Abstract

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Global atmospheric general circulation models (GCMs) were developed to simulate the current climate and are used to predict climate change. Several Global Climate Models (GCM’s) are available for understanding and projecting climate change. GCM requires to be downscale on a basin-scale and combined with applicable hydrological models considering all components of the hydrologic process. The performance of such coupling models, such as groundwater recharge quantification, should help to make correct adaptation strategies. Climate change has the ability to affect both the quality and quantity of available groundwater, mainly through impact on recharge, evapotranspiration, pump-age and abstraction. As a consequence, groundwater is a significant contributor to the streamflow in areas with fairly shallow water resources, knowing how climate change could impact groundwater supplies is crucial for long-term water resource management. The effect of climate change on groundwater systems is very difficult to predict. Part of the uncertainty of climate predictions is embedded of possibilities. Better insights, a more profound knowledge of mechanisms and modeling skills are required to determine this critical resource’s potential in the face of predicted climate change.