Water transfer method based on environment monitoring feedback

Abstract

The invention relates to a water transfer method based on environment monitoring feedback, and in particular relates to a method for adjusting the water environmental capacity through artificial water transfer, belonging to the field of water conservancy projects. The method provided by the invention comprises the following steps: setting a remote water-quality monitoring station in a lake; carrying out water transfer decision-making by using a water transfer planning center; and carrying out scheduling by using a remote gate control system. The method disclosed by the invention has the advantages that the characteristic quantity of water quality of lake water can be monitored in real time; the water transfer quantity can be accurately calculated according to hydrological forecasting results; and a water transfer gate can be automatically remotely opened so as to carry out water transfer.

Description

technical field [0001] The invention relates to a water diversion method based on environmental monitoring feedback, which belongs to the field of water conservancy engineering, and specifically relates to a method for adjusting water environment capacity through artificial water diversion. Background technique [0002] For a long time, lake water quality surveys have been carried out through routine manual sampling and testing, which is time-consuming and labor-intensive. The emergence and development of remote sensing technology RS has brought a new approach to the investigation and evaluation of inland lake water quality, which has received widespread attention and a large number of applications. Water quality remote sensing monitoring methods can reflect the distribution and changes of water quality in space and time, and meet the current real-time and large-scale evaluation requirements for water quality surveys. By studying the relationship between the spectral charac...

AI Technical Summary

Problems solved by technology

[0003] Although remote sensing technology has made a lot of substantial progress in water quality research, there are still many problems: for example, the monitoring accuracy is not high, and various algorithms are mainly based on empirical and semi-empirical methods; algorithms are local, local and seasonal. Poor adaptability, applicability, and portability; few water quality parameters are monitored, mainly focusing on suspended sediments, chlorophyll, transparency, turbidity and other parameters; remote sensing water quality monitoring has a small range of bands, mostly concentrated in the visible and near-infrared ranges, microwave remote sensing less research

The water quality monitoring, intelligent analysis and feedback system developed by integrating 3S technology has no specific development results

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