With the aim of reducing the losses from water pollution, a dynamic risk assessment model for water quality is studied in this paper. This model is built on the projection pursuit cluster principle and risk indexes in the complex system, proceeding from the whole structure and its component parts. In this paper, the fuzzy analytic hierarchy process is used to screen out index system and determine index weight, while the further value of an index is simulated by hydrological model. The proposed model adopts the comprehensive dynamic evaluation method to analyze the time dimension data, and evaluates the development tendency by combining qualitative analysis with quantitative analysis. The projection pursuit theory is also employed for clustering the spatial dimension data, the optimal projection vector for calculating risk cluster type to compartmentalize risk, and then local conditions for proposing the regulation scheme. The applicational results show that the model has the strong logic superiority and regional adaptability with strict theoretical system, flexible methods, correct and reasonable results and simple implementation to provide a new way for research on risk assessment models of water quality.
How procurement strategies, manufacturing costs and new technology stack up against development risk in Offshore Wind Projects.
Offshore wind is changing, and it is changing for the better. In 2006, offshore wind deployment costs started rising significantly, from £1.5m/ MW, in 2016 prices, to over £4m/MW in 2012, without a clear indication as to what the price ceiling would be. There was an industry-wide realisation that a significant shift was necessary to avoid losing out on investments to alternati...
Eğirdir Lake basin was selected as the study area because the lake is the second largest freshwater lake in Turkey and groundwater in the basin is used as drinking water. In the present study, 29 groundwater samples were collected and analyzed for physico-chemical parameters to determine the hydrochemical characteristics, groundwater quality, and human health risk in the study area. The dominant ions are Ca2+, Mg2+, HCO32−, and SO42. According to Gibbs plot, the predominant samples fall in the rock–water interactio...
Water quality risk management is a global hot research linkage with the sustainable water resource development. Ammonium nitrogen (NH3-N) and permanganate index (CODMn) as the focus indicators in Huai River Basin, are selected to reveal their joint transition laws based on Markov theory. The time-varying moments model with either time or land cover index as explanatory variables is applied to build the time-varying marginal distributions of water quality time series. Time-varying copula model, which takes the...
The idea of queuing up in the street for water in the heat of summer mightconjure up images of third world countries. New data has predicted that this, with a 20% chance, could be necessary in London in as little as 25 years.New research by Water UKshows thatthe growing population, along withclimate change and variousother factors, islikely to impact the UK’s water supplies. This new article delves into why and how this could happen, so head over to LinkedIn to read the complete article.
When an industrial plant or building decides whether or not to invest in a cooling tower water treatment system, it is a decision that shouldn’t be taken lightly. Petrochemical plants, chemical manufacturers, refineries, and all kinds of large buildings and facilities using cooling towers, whether they’re used as part of the industrial process or for cooling/removing heat from the building. Improperly treating cooling tower feed water, circulation water, and blowdown can lead to several issues; the...
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