Abstract: Generalized models for predicting the storage–yield–reliability functions of surface water reservoirs are developed using multiple linear regression and multilayer perceptron, artificial neural networks (ANNs). Linear ...

Abstract: Modeling the activated sludge wastewater treatment plant plays an important role in improving its performance. However, there are many limitations of the available data for model identification, calibration, and verification, ...

Abstract: A recently developed multiple-reservoir version of the modified sequent peak algorithm is used to assess the benefits of integrated reservoir storage-yield-performance planning using data from Iran and England. The results ...

Abstract: This work assessed the effects of joint operation on the performance of multipurpose, multireservoir systems vis-à-vis standalone operation. The analysis used the multipurpose Pong and Bhakra reservoirs in northern India. ...

Abstract: The crop water stress index (CWSI) is a reliable indicator of water status in plants and has been utilized for stress monitoring, yield prediction, and irrigation scheduling. Despite this, however, its use is limited because ...

Abstract: Climate change in the Indian Himalayan region is being manifested in the loss of glaciers and altered patterns of monsoon rainfall. Simultaneously, rapid population growth together with economic development are increasing ...