Method for repairing missing of underground water level monitoring value

A technology of groundwater level and restoration methods, which is applied in complex mathematical operations, data processing applications, machine learning, etc., and can solve problems such as the reduction in the amount of spatiotemporal information of research samples, poor efficiency and accuracy, and affecting scientific rationality.

Active Publication Date: 2019-12-17
江苏省地质工程勘察院 +1
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Problems solved by technology

However, the existing traditional restoration methods for missing groundwater level data are poor in efficiency and accuracy. Restoration methods based on spatio-temporal geostatistics and machine learning often only focus on time or spatial elements when repairing spatio-temporal sequence data, and have no effect on spatio-temporal correlation. The groundwater level data has not only obvious time series characteristics, but also regular spatial ch

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  • Method for repairing missing of underground water level monitoring value
  • Method for repairing missing of underground water level monitoring value
  • Method for repairing missing of underground water level monitoring value

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0062] Nantong City is located in the sedimentary environment of the main area of ​​the Yangtze River Delta. It is dominated by riverbed facies deposition, and the sand layer is particularly developed. Moreover, Nantong City has a subtropical monsoon climate, with rain and heat at the same time, abundant precipitation, and flat terrain, which is convenient for surface water to infiltrate. At the same time, the water system in the research area is developed, which provides sufficient resources for groundwater supply. The Nantong area used in this example is III Confined groundwater level spatiotemporal monitoring data, monthly water level records of 19 monitoring points with a time span of 5 years, all water level spatiotemporal series data are empirical data sources for missing data restoration, such as figure 1 As shown, in the monitoring data...

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Abstract

The invention discloses a method for repairing missing of underground water level monitoring values, which is based on an underground water level space-time sequence characteristic analysis result, carries out research around a space-time missing value hybrid repairing algorithm principle, and abstracts a missing repairing hybrid model considering space-time correlation. By analyzing the characteristics of a geostatistics method and a machine learning algorithm, a ubiquitous kriging spatial interpolation method and a time missing repair algorithm suitable for underground water level monitoringdata are selected, and according to a space-time element extension theory, the single space and time missing repairing algorithm is fused to construct the space-time missing data repairing hybrid model.

Description

technical field [0001] The invention relates to the technique of groundwater level monitoring, in particular to a repair method for missing water level monitoring values. Background technique [0002] Water is the source of life and the basis for the survival and development of animals and plants. For a long time, as an important water supply resource, groundwater has been plagued by problems such as overexploitation and pollution, resulting in frequent occurrence of a series of environmental geological problems such as groundwater level drop, land subsidence, and freshwater salinization. Long-term monitoring of groundwater level is an important basis for understanding the status quo of groundwater development and utilization and planning for sustainable development of water resources. As a typical time-space sequence data, groundwater monitoring water level data has the characteristics of nonlinearity, instability, and strong time-space correlation. It is the basis for gro...

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Application Information

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IPC IPC(8): G06F17/18G06F17/15G06F17/12G06Q50/06G06N20/00
CPCG06F17/18G06F17/15G06F17/12G06N20/00G06Q50/06
Inventor 孙世龙何亮陈锁忠施春华郭华梁莹
Owner 江苏省地质工程勘察院
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