Hydrology Newsletter

Runoff Prediction Models Runoff Prediction Models(RPM) are those models which predict the runoff or flood peak of a watershed or input runoff to a dam etc. Generally, such models require climatic parameters, geomorphology, soil characteristics, and land cover as input against which a runoff model can predict the monthly, weekly, daily, or even hourly runoff. These models can be spatially distributed or lumped, temporally long or short, data-driven or conceptual.  In recent years due to the massive development in data-driven and smart concepts like artificial neural networks(ANN), decision trees, and evolutionary algorithms, application of such techniques are now common to develop RPMs. Among data-driven techniques, ANN is the most popular, followed by evolutional algorithms. But compared to the standalone application of neural networks, hybrid models where ANN with conceptual models like HyMOD or HEC is found to be more successful. Hydrologic models like RPMs need to be calibrated and

Rainwater harvesting is known to be one of the most prominent solutions to the impending vulnerability of many watersheds all over the world due to climate change impacts. The rejuvenation of the watersheds with the help of innovative rainwater harvesting can prevent further deterioration of the basins. Below are the five most intelligent water harvesting methods adopted by the stakeholders to restore their watersheds which ensured their sustainability. Mega muddy rainwater harvesting System/project "Harvested water is used for fish farming, banana plantation, Sericulture, Floriculture and for other purposes." Story of Dhun "the first step for his dream project was to bring water to this dry land and using traditional water harvesting practices the land today has more than 8 waterbodies in it..." Rain Water Harvesting in Kenya, Ethiopia, and Uganda "There is hardly a place in the world where it never rains. Rainwater belongs to everyone. And the methods to coll

Water Conservation in Satara : Case Study

See the video or Download the clickable version The process of forecasting the rainfall after two or less than two-hour is known as Rainfall nowcasts(RN). The model which predicts such a very short-term storm is referred to as the Rainfall Nowcasting model (RNM). Due to the high amount of variability involved the development of accurate nowcast models is a challenging task. Due to the increase in climatic variability and urbanization, the need for such models for the design and development of accommodative infrastructures is increasing. That is why five of the most important research topics related to rainfall nowcasting are delineated below : @Mrinmoy's Page Share your data requirement , @Merchandise or @ Shop Add to Listy

BIRR is referred as the impact of impervious areas on the distribution of water after rainfall. The area, type, and texture of various impervious areas like buildings, pavements, roads, etc. do not allow rainfall to infiltrate the soil cover and enforced the water droplets to flow off the watershed as runoff. The impact of buildings on rainfall redistribution and its effect on water availability can yield interesting and useful research proposals. Five of which are listed below: Impact of BIRR on flood forecasting models Impact of BIRR on hydrologic response Impact of BIRR on desertification Impact of BIRR on water quality Impact of BIRR on watershed vulnerability Click here to download the entire report  or view the video below : Available in Slide share mode also. @Mrinmoy's Page @Merchandise or @ Shop Add to Listy