Sector wise echoes study and climatology around Jaisalmer

The capability of Weather Radar to see through the thunder clouds and rain has made it a unique observation tool for remotely surveying the atmosphere. Pulsed radar technique has been applied with remarkable success to map the rain field of various duration and intensities along with movement of storms in real time within the effective detection range of radar. It is a very good tool for forecaster to provide better warning for impending storms and heavy rainfall over the area under radar surveillance and thereby losses due to storm can be minimized while their benefits can be continued like water resource management. In the present work attention has been focused on conducting a comprehensive study of frequencies of occurrence of echoes around Jaisalmer up to 200 km from radar site and the surrounding of it has divided into four equal sectors, i.e., sector-1 (NW, 270°-360° ) , sector-2 (NE, 0°-90°) , sector-3 (SE, 90°-180° ) and sector-4 (SW, 180°-270°). Total number of echoes under the study was 28918 for the period from 19th April, 1993 to 31st December, 2010. Total number of echoes analyzed in Sector-1, were 5441(18.8%), in sector-2, number of echoes analyzed were 9554(33.0%), in sector-3, number of echoes analyzed were 9479 (32.8%) and in sector-4, number of echoes analyzed were 4444(15.4%). Radar echoes to be classified month-wise and the lowest number of average echoes observed in the month of December was 0.4%, in the month of November 0.5%, in October and March 1.6% and in the month of January and February 2.0% .The highest number of annual average echoes observed in the month of July was 30.1% followed by August 24.6%, June 17.2%, May 8.3%, April 6.3% and September 5.8%. Height wise echoes analyzed and the highest number of echoes found for 3 km in all the four sectors were 29.0% and the lowest were for 16 km as 0.2%.

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Using Ontologies to Relate Resource Management Actions to Environmental Monitoring Data in South East Queensland

International Journal of Agricultural and Environmental Information Systems ◽

10.4018/jaeis.2011010101 ◽

2011 ◽

Vol 2 (1) ◽

pp. 1-19 ◽

Cited By ~ 4

Author(s):

Jane Hunter ◽

Peter Becker ◽

Abdulmonem Alabri ◽

Catharine van Ingen ◽

Eva Abal

Keyword(s):

Resource Management ◽

Real Time ◽

Water Resource ◽

Water Resource Management ◽

Management Strategies ◽

Monitoring Program ◽

Web Mapping ◽

Management Actions ◽

Semantic Data ◽

Resource Managers

The Health-e-Waterways Project is a multi-disciplinary collaboration between the University of Queensland, Microsoft Research and the South East Queensland Healthy Waterways Partnership (SEQ-HWP). This project develops the underlying technological framework and set of services to enable streamlined access to the expanding collection of real-time, near-real-time and static datasets related to water resource management in South East Queensland. More specifically, the system enables water resource managers to access the datasets being captured by the various agencies participating in the SEQ HWP Ecosystem Health Monitoring Program (EHMP). It also provides online access to the statistical data processing tools that enable users to analyse the data and generate online ecosystem report cards dynamically via a Web mapping interface. The authors examine the development of ontologies and semantic querying tools to integrate disparate datasets and relate management actions to water quality indicators for specific regions and periods. This semantic data integration approach enables scientists and resource managers to identify which actions are having an impact on which parameters and adapt the management strategies accordingly. This paper provides an overview of the semantic technologies developed to underpin the adaptive management framework that is the central philosophy behind the SEQ HWP.

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Evaluation of plumbed rainwater tanks in households for sustainable water resource management: a real-time monitoring study

Journal of Cleaner Production ◽

10.1016/j.jclepro.2012.11.006 ◽

2013 ◽

Vol 42 ◽

pp. 204-214 ◽

Cited By ~ 45

Author(s):

Shivanita Umapathi ◽

Meng Nan Chong ◽

Ashok K. Sharma

Keyword(s):

Resource Management ◽

Real Time ◽

Water Resource ◽

Water Resource Management ◽

Real Time Monitoring ◽

Sustainable Water Resource ◽

Monitoring Study ◽

Sustainable Water Resource Management ◽

Rainwater Tanks

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Optimal and Real-Time Control of Water Infrastructures

Oxford Research Encyclopedia of Environmental Science ◽

10.1093/acrefore/9780199389414.013.627 ◽

2021 ◽

Author(s):

Ronald van Nooijen ◽

Demetris Koutsoyiannis ◽

Alla Kolechkina

Keyword(s):

Resource Management ◽

Control Theory ◽

Automatic Control ◽

Control Systems ◽

Real Time ◽

Water Resource Management ◽

Water Cycle ◽

Water Systems ◽

Real Time Control ◽

Time Control

Humanity has been modifying the natural water cycle by building large-scale water infrastructure for millennia. For most of that time, the principles of hydraulics and control theory were only imperfectly known. Moreover, the feedback from the artificial system to the natural system was not taken into account, either because it was too small to notice or took too long to appear. In the 21st century, humanity is all too aware of the effects of our adaptation of the environment to our needs on the planetary system as a whole. It is necessary to see the environment, both natural and hman-made as one integrated system. Moreover, due to the legacy of the past, the behaviour of the man-madeparts of this system needs to be adapted in a way that leads to a sustainable ecosystem. The water cycle plays a central role in that ecosystem. It is therefore essential that the behaviour of existing and planned water infrastructure fits into the natural system and contributes to its well-being. At the same time, it must serve the purpose for which it was constructed. As there are no natural feedbacks to govern its behaviour, it will be necessary to create such feedbacks, possibly in the form of real-time control systems. To do so, it would be beneficial if all persons involved in the decision process that establishes the desired system behaviour understand the basics of control systems in general and their application to different water systems in particular. This article contains a discussion of the prerequisites for and early development of automatic control of water systems, an introduction to the basics of control theory with examples, a short description of optimal control theory in general, a discussion of model predictive control in water resource management, an overview of key aspects of automatic control in water resource management, and different types of applications. Finally, some challenges faced by practitioners are mentioned.

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