Online Operational Monitoring and Tsi Estimation System of Lakes
نویسندگان
چکیده
In this paper, we will present an online operational monitoring and Trophic State Index (TSI) estimation system of lakes in general. Our work is related to the ecological state of all lakes (including instilling rivers) that would have use of the system by receiving real time statistics. The study aims to present the system potential for instance remote and fast information management, detailed contents and reports, allowance of international distributed cooperation in order to establish or confirm the status of surface water bodies thought to be at risk and finally database processing that follows the European standards. Hence, data storing, analysis and TSI estimation are all performed at one place using only a Web Browser, where some components are available to all users and confidential data is only available to authorized users.
منابع مشابه
The Bernoulli Ritz-collocation method to the solution of modelling the pollution of a system of lakes
Pollution has become a very serious threat to our environment. Monitoring pollution is the rst step toward planning to save the environment. The use of dierential equations, monitoring pollution has become possible. In this paper, a Ritz-collocation method is introduced to solve non-linear oscillatory systems such as modelling the pollution of a system of lakes. The method is based upon Bernoul...
متن کاملOnline Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines
Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...
متن کاملRobust state estimation in power systems using pre-filtering measurement data
State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
متن کاملError Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network
State estimation is essential to access observable network models for online monitoring and analyzing of power systems. Due to the integration of distributed energy resources and new technologies, state estimation in distribution systems would be necessary. However, accurate input data are essential for an accurate estimation along with knowledge on the possible correlation between the real and...
متن کاملOnline Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...
متن کامل