System and method for controlling multistage groundwater levels in adjacent areas

Abstract

The invention discloses a system and method for controlling multistage groundwater levels in adjacent areas, and relates to the technical field of outdoor groundwater level control. The system comprises a pumping subsystem, a recharging subsystem and a regulation and storage subsystem; wherein the pumping subsystem includes a pumping field quadrat and a pumping channel; the regulation and storagesubsystem includes a regulation and storage tank; the recharging subsystem includes a first recharging field quadrat, a second recharging field quadrat, a first recharging channel and a second recharging channel; a first submersible pump connected to a first liquid level relay is disposed in the pumping channel; a solenoid valve on a water supply pipe communicating with the first recharging channel and the regulation and storage tank is connected with a second liquid level relay; a solenoid valve on a water supply pipe communicating with the second recharging channel and the regulation and storage tank is connected with a third liquid level relay; and the signal lines of the liquid level relays are arranged at positions at different burial depths. The system regards the groundwater level burial depth as a single variable controllable factor, and realizes the control of the burial depth of the multistage groundwater levels in outdoor adjacent areas.

Description

technical field [0001] The invention relates to the technical field of groundwater level control in the field, in particular to a control system and method for multi-level groundwater level control in adjacent areas. Background technique [0002] In arid and semi-arid regions, the buried depth of groundwater table is one of the key factors affecting the distribution, migration and surface ecology of water and salt in the vadose zone. Many scholars have carried out research on the effect of buried water table depth. and human factors are complex, the space and time are highly random, and it is difficult to obtain regular conclusions. Therefore, indoor experiments are mainly used. Commonly, the undisturbed soil is collected back to the laboratory for undisturbed backfilling. Groundwater, artificially set different water levels and buried depths, and carry out related research, but this method destroys the original soil structure, and the artificial soil column has obvious boun...

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Problems solved by technology

[0002] In arid and semi-arid regions, the depth of groundwater table is one of the key factors affecting the distribution, migration and surface ecology of water and salt in the vadose zone. Many scholars have carried out research on the effect of groundwater table depth. and human factors are complex, the space and time are highly random, and it is difficult to obtain regular conclusions. Therefore, indoor experiments are mainly used. Commonly, the undisturbed soil is collected back to the laboratory for undisturbed backfill, and the water source is configured or recovered. Groundwater, artificially set different water levels and buried depths, and carry out related research, but this method destroys the original soil structure, and the artificial soil column has obvious boundary effects, and the external environmental conditions are also far from the actual situation. The conclusions obtained are difficult to effectively guide production practice , it is more difficult to transform the results

In current field test monitoring, it is common to deploy relevant observation equipment at different depths of water levels in the survey area to carry out research, that is, in-situ monitoring experiments. The water quality will change to a certain extent, and the deployment and research of monitoring equipment is relatively inconvenient, and variable factors are difficult to control, which brings great difficulties to obtain regular conclusions and reveal related mechanisms

Constructing a model and using computer simulation can make up for the shortcomings of the above two methods to a certain extent, but the generalization and calibration of the model need to be based on the actual monitoring results, so the model results are also lacking in guiding production practice

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