scholarly journals Water Resource Monitoring and Assessment for Madurai District, Tamil Nadu, India

2017 ◽  
Vol 05 (04) ◽  
pp. 28-34
Author(s):  
Shafiullah. G ◽  
Suhatharahima Siraj ◽  
Rajani. R
Keyword(s):  
Water Resource ◽  
Tamil Nadu ◽  
Resource Monitoring

Water Resource Mismanagement in Tamil Nadu & Its Impacts on Farmers

2011 ◽  
Vol 3 (12) ◽  
pp. 320-321 ◽  
Author(s):  
P. SHANKAR P. SHANKAR ◽  
◽  
Dr. S. RAMACHANDRAN Dr. S. RAMACHANDRAN
Keyword(s):  
Water Resource ◽  
Tamil Nadu

Theoretical Framework and Research Methods of Poyang Lake Smart Water Resource Monitoring Based on WSN and 3S Technologies

2014 ◽  
Vol 519-520 ◽  
pp. 1229-1234
Author(s):  
Jian Hua Wu ◽  
Jun Gong ◽  
Yue Zhi Hu ◽  
Yang Yang Wan
Keyword(s):  
Water Resource ◽  
Lake Water ◽  
Network Architecture ◽  
Spatial Information ◽  
Poyang Lake ◽  
Sensor Data ◽  
Detection Methods ◽  
Resource Monitoring ◽  
Smart Water ◽  
Time Space

Expounded research background and significance of Poyang Lake smart water resource monitoring, proposed a new theory research framework of Poyang Lake smart water resource monitoring based on WSN and 3S spatial information technologies, explored the related basic theories and methods which applied to the research of water resource smart monitoring, summarized the key issues in the researches of building wireless sensor network architecture and multi-sensor fusion physics platform for Poyang Lake water resource monitoring, methods of multi-sensor information extraction, access, processing and storage, the Poyang Lake water monitoring information spatializiation methods, multi-sensor data anomaly detection methods, and gave the research ideas and problem-solving strategies. Eventually, through the establishment of a practical and reliable Poyang Lake smart water resource monitoring system, improve flexibility, real-time, space visibility of water resource monitoring.

Satellite Precipitation Measurements for Water Resource Monitoring

2009 ◽  
Vol 45 (3) ◽  
pp. 567-579 ◽  
Author(s):  
Chris Kidd ◽  
Vincenzo Levizzani ◽  
Joe Turk ◽  
Ralph Ferraro
Keyword(s):  
Water Resource ◽  
Resource Monitoring ◽  
Satellite Precipitation

Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery

2003 ◽  
Vol 88 (1-2) ◽  
pp. 144-156 ◽  
Author(s):  
Kali E Sawaya ◽  
Leif G Olmanson ◽  
Nathan J Heinert ◽  
Patrick L Brezonik ◽  
Marvin E Bauer
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Water Resource ◽  
Satellite Remote Sensing ◽  
Resource Monitoring ◽  
High Resolution Imagery

scholarly journals Water resource monitoring systems and the role of satellite observations

2011 ◽  
Vol 15 (1) ◽  
pp. 39-55 ◽  
Author(s):  
A. I. J. M. van Dijk ◽  
L. J. Renzullo
Keyword(s):  
Remote Sensing ◽  
Data Assimilation ◽  
Water Use ◽  
Water Resource ◽  
Model Evaluation ◽  
A Priori ◽  
Satellite Observations ◽  
Monitoring Systems ◽  
Resource Monitoring ◽  
Operational Systems

Abstract. Spatial water resource monitoring systems (SWRMS) can provide valuable information in support of water management, but current operational systems are few and provide only a subset of the information required. Necessary innovations include the explicit description of water redistribution and water use from river and groundwater systems, achieving greater spatial detail (particularly in key features such as irrigated areas and wetlands), and improving accuracy as assessed against hydrometric observations, as well as assimilating those observations. The Australian water resources assessment (AWRA) system aims to achieve this by coupling landscape models with models describing surface water and groundwater dynamics and water use. A review of operational and research applications demonstrates that satellite observations can improve accuracy and spatial detail in hydrological model estimation. All operational systems use dynamic forcing, land cover classifications and a priori parameterisation of vegetation dynamics that are partially or wholly derived from remote sensing. Satellite observations are used to varying degrees in model evaluation and data assimilation. The utility of satellite observations through data assimilation can vary as a function of dominant hydrological processes. Opportunities for improvement are identified, including the development of more accurate and higher spatial and temporal resolution precipitation products, and the use of a greater range of remote sensing products in a priori model parameter estimation, model evaluation and data assimilation. Operational challenges include the continuity of research satellite missions and data services, and the need to find computationally-efficient data assimilation techniques. The successful use of observations critically depends on the availability of detailed information on observational error and understanding of the relationship between remotely-sensed and model variables, as affected by conceptual discrepancies and spatial and temporal scaling.

Sign in / Sign up

Export Citation Format

Share Document