Discrete processing method of river reach for prediction of leakage and diffusion of river pollutants

Abstract

The invention discloses a river reach discretization treatment method for river pollutant leakage and diffusion prediction. According to the method, a river reach to be predicted is discretized to determine a relationship between a river flow cross sectional area and a water level by virtue of a conversion relationship between a geodetic coordinate system and a space rectangular coordinate system, so that a closed Saint-Venant equation set can be obtained under the condition of unknown river flow cross sectional area. By the method, pretreatment work for river pollutant leakage and diffusion prediction can be rapidly completed, so that river pollutant leakage and diffusion can be accurately predicted under the condition of finite and old hydrological data.

Description

technical field [0001] The invention relates to the field of prediction of leakage and diffusion of river pollutants, in particular to a discretization processing method for the prediction of leakage and diffusion of river pollutants. Background technique [0002] In February 2006, the State Council issued the "National Medium- and Long-Term Science and Technology Development Plan (2006-2020)", which listed "public safety" as a key area, and clearly proposed the development of emergency rescue technology for hazardous chemical leakage and nuclear, biological and chemical terror sources. remote detection technology, etc. Nearly a thousand large and small rivers flow vertically and horizontally on my country's 9.6 million square kilometers of land. These rivers flow through complex terrain and diverse climates, and are closely related to people's production and life. Therefore, if the water source (especially the drinking water source) in a certain area is seriously polluted,...

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Problems solved by technology

[0015] In fact, the hydrological data of most rivers in my country are very limited, and the work of collecting high-density hydrological data for rivers has not been completed. Through the above methods, only the cross-sectional area of ​​a few points of the river can be obtained, which is difficult to satisfy the Saint-Venant equation On the other hand, although the hydraulic properties of rivers have statistical characteristics, due to the large climate change in my country in recent years, the cross-sectional area obtained through hydrological data may not accurately represent the actual situation to be predicted. value, using "outdated" data may bring large errors to the forecast

Therefore, the above method has certain limitations, especially for predicting the pollution spread in some unknown rivers where hydrological data are scarce.

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