Hydrology Newsletter

Proposed Methodology Vulnerability in pineapple industries due to climate change Justification : The pineapple is a tropical plant with edible fruit, and it is the most economically important plant in the Bromeliaceae family. Pineapple cultivation is restricted to hilly regions in northeastern India and coastal regions of peninsular India with high rainfall and humidity. It is also commercially grown in the interior plains with medium rainfall and supplementary irrigation. Pineapple is primarily grown under rainfed conditions. Supplemental irrigation aids in the production of large fruits in areas with abundant rainfall. Irrigation also helps to establish an off-season planting to maintain its year-round production. In case of scanty rainfall and hot weather, irrigation may be provided once in 20-25 days. The success of Pineapple cultivation depends on various climatic parameters as well as soil characteristics and irrigation requirements. Now due to global warming, the regular pattern

Internship opportunities in Hydroinformatics There are a variety of internship opportunities available in the field of Hydroinformatics Engineering. The list below contains the most relevant internship opportunities from India and around the world. The list is not sorted and arranged at random. You can use ODM  to rank the opportunities and arrange them as needed. H2i The Singapore Delft Water Alliance (SDWA), a Center of Excellence that conducted a wide range of research in urban and coastal water resource management and disseminated its findings on a national and international scale, served as the basis for H2i. This company accepts interns year-round and on an application basis. Link: https://www.h2i.sg/h2i-welcomes-interns/ UNU-INWEH Using open Earth data, UNU-INWEH has created a Historical Flood Mapping tool that generates inundation maps for significant floods in the Global South from 1984 to the present and is currently looking for an intern to help us create a Flood Risk Index.

The interest in and application of data science and machine learning has grown rapidly in recent years. Data science is being used in every traditional subject to reframing well-established, straightforward ideas. The outdated item is dressed in a fresh outfit. Computer-based data mining and synthesis are replacing traditional data analysis techniques. Similarly, the use of data science in water resource management and development is increasing. The need for personnel who are knowledgeable about the pertinent data science as well as the established principles of developing water resources is also present. After reviewing the relevant literature related to data science applications on water-resource development, also known as Hydroinformatics Engineering, it was discovered that would-be hydro informatics engineers must be familiar with the following techniques if they want to pursue a career in this field. 1)Multi-Criteria Decision-Making Techniques Concept & Applications Lecture No

Youtube / Slideshare Smart Use of Water and Electricity for Reducing Climate change impact: How? The average American family uses approximately 70% of its 300 gallons of water per day indoors. The majority of household water comes from public sources, such as a water tower, which gets 63% of its water from surface water sources like rivers, lakes, and streams. The remaining 37% is pumped from aquifers and other groundwater sources. Your neighborhood's water supply is strained due to the combined water use of all of the residents. Water shortages may require some communities to update their outdated wastewater treatment and delivery systems. This could lead to higher consumer water prices, water rationing to manage any shortages, and costly water treatment projects to upgrade outdated facilities.(Read in detail at  NEEF ) Again,almost all forms of electricity generate waste. For example, natural gas releases carbon dioxide and nitrogen oxide. Earth's atmosphere traps these gases

Since the demand for data science experts has suddenly increased over the past few years, the popularity of data science courses has been growing quickly. The importance of such courses has grown significantly due to the need for data analysis techniques that aid in objective and useful decision-making. Expertise in techniques like Decision Tree Techniques, MCDMs, Optimization Techniques, Artificial Intelligence, etc., as well as programming languages like Python, R, etc., is in high demand, particularly in the engineering and management fields of science. Techniques and algorithms, as in any sustainable and developing field, are widely used in water resource management and engineering studies for fast and optimal problem-solving and accurate decision-making. The introduction of ICT technologies such as IoT and other Distributed Control Systems sparked water resource practitioners' interest in data science technologies aided by various algorithms and ICT routines. The interest is s