New Research Idea : Selection of Conceptual Hydrologic Models for Estimating Runoff from Arid Watersheds

The selection of ideal conceptual hydrologic model for prediction of surface runoff from any type of watershed is useful for the estimation of future hydrologic conditions of the basin.The predicted runoff is also important for design of hydraulic structure,preparation of watershed management plans ,disaster management etc. related activities.The future runoff will give an idea of future uncertainties that may trouble the watershed and its inhabitants.The hydrologic models which follows the basic physical laws of water balance to estimate the desired output cannot exactly estimate the runoff.There will be some differences with the actual situation and the predicted one.The deviations between the two is allowable but to a certain extent.There are many factors for this deviation.Some models are suitable for some specific types of watersheds.The availability of required dataset is also another important issue.The equalizing constants that are used to linearize interrelationships are also a factor for the error produced by the hydrologic model.That is why selection of a suitable hydrologic model which can estimate at a desired accuracy under the restrictions imposed by the study watershed and dataset availability is important for successful execution of projects involving runoff predictions.The present study tries to select a suitable hydrologic model based on the related factors and decision making algorithms for predicting surface runoff from an arid watershed.The decision making algorithms are popular for their impartial and scientific decision making based on historical,social and expert inputs.The advancements of such algorithms can be utilized to select an ideal hydrologic model which can minimize the error between the predicted and actual output.

Tools Utilized : AHP and Fuzzy,various hydrologic models

Keywords : hydrologic models,decision making algorithms,arid watershed.

Online Innternship Opportunity : Optimal Energy Allocation in Paper Industry by Nature Based Optimization Techniques

Summary • The paper industry is a profitable and essential sector for sustainable livelihood. • Unplanned power allocation among industry units is a major cause of industry losses. • Bio-inspired optimization techniques, such as the Moth Flame Optimization Technique (MFT), Water Cycle Optimization (WCO), and Fish Foraging Algorithm (FFA), are being used to identify optimal solutions. • These population-based algorithms consider every part of the search domain to find the optimal solution. • These techniques can help allocate power optimally and sustainably, ensuring no compromise in the quality of the output and expenditures are allocated for essential needs only. You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers ...

WRF Hydro

The WRF-Hydro® Project creates cutting-edge hydrometeorological and hydrologic models, as well as modelling support tools, to address important water challenges around the world. As an open platform, we aspire to create and promote a diverse and inclusive community of hydrologic scientists and practitioners to satisfy the global demand for water resource planning, hazard prediction, and mitigation. Water has no limits, and neither should the society that studies it. The WRF-Hydro architecture simplifies integrating hydrological models into the WRF framework, offering a scalable environment for hypothesis testing, sensitivity analysis, data assimilation, and environmental prediction. It uses community-based development processes, with NCAR and other NSF entities developing support structures. WRF-Hydro®, an open-source community model, is utilised for a variety of tasks, including flash flood prediction, regional hydroclimate impact assessment, seasonal forecasting of water resources, a...

Five New Ideas for Opening Start Ups in Water Conservation

PPT Link / Video Link Photo by Naja Bertolt Jensen on Unsplash "Water is a key element for the process industry and a core component for recycling and sustainable management. In industry, water fulfills many functions, including its use as raw material, as a means of transport as well as its use for cleaning and cooling"( source ) "The global Smart Water Management market size is expected to grow USD 13.8 billion in 2021 to USD 22.4 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 10.1% during the forecast period"( source ). Intelligent water conservation and management techniques need to be adopted by the industry such that water can be optimally utilized. Now as per the forecast and recent occurrence of extreme events the necessity of such management has become more significant. Based on this need, some start-up businesses can be established which can help to achieve the water conservation goals. Five such ideas are discussed below. 1)Climate Risk Ass...