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Igrade water management system functions11/13/2022 ![]() 2011), which provides a basis for the application of the copula function to analyze the combination risk probability of water pollutants. Moreover, the copula function has been preliminarily applied in flood frequency analysis, drought characteristics analysis, and rainfall frequency analysis (Shiau 2006 Zhang et al. The water-quality risk of a water environment system is regarded as a fuzzy event to establish the fuzzy probabilistic model for calculating the risk rate and for determining whether the water quality exceeds the appropriate standard (Li and Shi 2007), and a cumulative risk assessment system of the water environment in a plain river network area has been established using the control unit division method and the rationality analysis method (Wang et al. 2011), Markov switching theory, the Monte Carlo method, and the copula function (Niu et al. Scholars have analyzed and predicted the water-quality risk probabilities by the gray stochastic risk method (Li et al. Based on the sensitivity analysis, the contributing factors can be controlled to reduce the cumulative risk. The model was sensitive to the number of wastewater treatment facilities and the wastewater treatment rate along the river. These findings suggest that the BP-ANN model is applicable to prediction of cumulative risks to the water environment. The correlation coefficient of the BP-ANN with LM exceeded 80%. After optimization, there were six hidden layers in the model. Levenberg Marquardt backpropagation was the most accurate algorithm, with an MSE of 3.33 × 10−6. Data concerning evaluating indicators and cumulative risk indexes of the Liao River collected from 2005 to 2017 in the cities of Tieling, Shenyang, and Panjin, China, were used as input and output data to train, validate, and test the BP-ANN. Eleven training algorithms were selected and optimized based on the mean square error (MSE) of prediction results. A new comprehensive indicator of cumulative risks was formed by combining the water risk assessment tool proposed by the World Wide Fund for Nature or World Wildlife Fund (WWF), Deutsche Investitions und Entwicklungsgesellschaft mbH (DEG), and the cumulative environmental risk assessment system proposed by the US Environmental Protection Agency (USEPA). It helps to optimize and keep under control the usage of water resources at different levels - households, communities, countries and the whole planet.To analyze the cumulative risks to the water environment, the backpropagation artificial neural network (BP-ANN), a self-adapting algorithm, was proposed in this study. Practice consumption monitoring via IoT-based water management systems.Given that almost $3 billion are spent on fixing the damage caused by leakage yearly, leakage control is essential to keep water resources and budgets safe. Implement leakage control by using smart water management devices equipped with leak and moisture sensors.at hand, integrate predictive maintenance and avoid breakage and downtime of equipment. Using IoT and data solutions for asset management, companies can keep important measurements such as water pressure, temperature, flow, etc. Enhance the efficiency of water systems such as water collectors, treatment plants, distribution mains and wastewater recycling centers.In order to improve and maintain the quality of water, companies use sensors and IoT technology for real-time monitoring and control. Improve water quality and prevent contamination by chemical waste and natural pollution such as acidification. IGRADE WATER MANAGEMENT SYSTEM FUNCTIONS SOFTWARELearn about our agriculture software development services. It implies the introduction of high-tech practices like precision farming, smart irrigation, crop water management, real-time water metering and other applications of Internet of Things in agriculture. Reduce wasting water used in high volumes for agriculture, manufacturing, power production.In this respect, water management technologies and activities pursue the following objectives: Growing population, increasing environmental issues and pressure on the food and agriculture sector make water even a more precious asset. The primary objective of smart water management is reasonable and sustainable usage and recycling of water resources. ![]()
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