Hydrology Newsletter

The Hummingbirds Optimization Algorithm is a nature-inspired optimization algorithm that mimics the efficient and agile search strategy of hummingbirds in finding optimal solutions to complex problems. This algorithm has been widely adopted in fields such as engineering, computer science, and finance due to its ability to handle large-scale problems, adaptability to different problem domains, and robustness in finding near-optimal solutions. The algorithm's versatility and effectiveness have led to its successful implementation in solving diverse optimization problems across various industries. It has been used in engineering and design to optimize various systems and processes, such as structural design, control systems, and renewable energy. It has also been utilized in data mining and machine learning to enhance the efficiency of algorithms and improve predictive modeling. Future prospects for the algorithm include incorporating parallel computing techniques to enhance speed and...

USF scientists used the CRIS-HAZARD app to analyze flooding during hurricanes, aiding emergency management. Meanwhile, ocean saltwater threatens Philly's drinking water, and COP29 aims to boost climate finance to $300B by 2035. Drought affects over 54% of the US, and 11M face PFAS in drinking water. Innovations in renewable energy are underway with projects in Germany and Israel. Look for the detail news by clicking the link below. Will be live tomorrow at 9:45am #ClimateChange #RenewableEnergy 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 https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition 20...

Waste Minimization Strategies from site selection studies? Publication Date and Time : 28th Nov 2024 01:30pm IST This case study(1) and many other relevant studies(2-4) primarily focus on applying MCDM and GIS for site selection (specifically for landfills and manufacturing facilities) and don't directly address waste minimisation strategies. However, by examining the criteria used in these site selection processes, we can get some insights into factors that indirectly contribute to waste reduction. 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 https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition...

..."the global water crisis will put half the world’s food production at risk of failure within the next 25 years". A report from the Global Commission on the Economics of Water warns that over half the world's food production will be at risk of failure within 25 years due to a rapidly accelerating water crisis. The report found that demand for fresh water will outstrip supply by 40% by the end of the decade due to unprecedented stress on the world's water systems. The report also found that governments and experts underestimate the amount of water needed for people to have decent lives, with most regions relying on trade for food, clothing, and consumer goods. Click here to learn more. Bangkok will host the International Soil and Water Forum 2024, co-organized by the Food and Agriculture Organisation of the United Nations (FAO) and the Ministry of Agriculture of Thailand, December 9–11, 2024.  The world's first action plan on halting soil degradation and water s...

Data science is a rapidly evolving field that plays a crucial role in various industries. It is essential for professionals to stay updated on the latest trends and technologies to harness the full potential of data science in their work. Find below the topics that are included in this self-paced certificate course: Statistical Techniques : Outlier Detection: Chauvenet Method Dixon Thompson Method Rosner's Method Ten Most Recognizable Case Studies of Using Outlier Detection for Model Development Trend Detection What is a Trend and How do you detect a trend in a set of data? Runs Test Correlation Determination Auto and Cross-Correlation Risk and Uncertainty What is Risk and Vulnerability? Weibull’s Method Numerical Analysis Uncertainty Analysis Linear Regression Non-Linear Regression Artificial Intelligence Fundamentals What is Artificial Neural Network(ANN)? Parameter Estimation Training Algorithms Testing of the Network Validation of the Networks Example Problems Training Algorith...