Coastal wetland high-resolution month-by-month soil salinity monitoring method and coastal wetland high-resolution month-by-month soil salinity monitoring system

A high-resolution, soil-based technology, applied in the field of soil salinity monitoring, can solve complex and difficult problems and achieve the effect of improving prediction accuracy

Active Publication Date: 2020-11-03
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When datasets have a large number of predictors and a large number of data records, they become increasingly complex and difficult, leading to overfitting in practical inversions

Method used

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  • Coastal wetland high-resolution month-by-month soil salinity monitoring method and coastal wetland high-resolution month-by-month soil salinity monitoring system
  • Coastal wetland high-resolution month-by-month soil salinity monitoring method and coastal wetland high-resolution month-by-month soil salinity monitoring system
  • Coastal wetland high-resolution month-by-month soil salinity monitoring method and coastal wetland high-resolution month-by-month soil salinity monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] 1. Taking the nature reserve at the mouth of the Yellow River in Dongying City as the research area, predict the change of soil salinity.

[0104] Implementation steps:

[0105] Step 1. Establish the database of 0-20cm soil salinity data and soil salinity predictors: Obtain basic data related to soil salinity through field investigation and preparation, and establish a soil salinity database based on the ArcGIS platform; use statistical surveys, remote sensing and geographic information systems Obtain multi-source joint data sets, collect soil salinity predictors, and establish a database of soil salinity predictors.

[0106] Among them, the method of obtaining soil salinity data is to use a ring knife with a diameter of 10cm to take five soil samples in a 30m*30m quadrat according to the five-point sampling method, mix them into one soil sample, and use a conductivity meter in the laboratory Measure the salinity value SAL in the system, record the sampling time and th...

Embodiment 2

[0124] Taking the industrial and agricultural area of ​​the mouth of the Yellow River in Dongying City as the research area, the change of soil salinity is predicted.

[0125] Implementation steps:

[0126]First, establish a database of 0-20cm soil salinity data and soil salinity predictors: obtain basic data related to soil salinity through field investigation and preparation, and establish a soil salinity database based on the ArcGIS platform; use statistical surveys, remote sensing and geographic information systems Obtain multi-source joint data sets, collect soil salinity predictors, and establish a database of soil salinity predictors.

[0127] Among them, the soil salinity data acquisition method is to use a 10cm-diameter ring knife to take five soil samples in a 30m*30m quadrat according to the five-point sampling method, mix them into one soil sample, and use a conductivity meter in the laboratory Measure the salinity value SAL in the system, record the sampling time...

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Abstract

The invention relates to a coastal wetland high-resolution month-by-month soil salinity monitoring method and a coastal wetland high-resolution month-by-month soil salinity monitoring system. The method comprises the following steps: establishing a soil salinity database and a predictor database; performing land utilization type classification on the research area by adopting a machine learning method of a support vector machine to obtain an industrial and agricultural area and a natural reserve area; according to the soil salinity database and the prediction factor database, respectively establishing a natural conservation area soil salinity prediction model and an industrial and agricultural area soil salinity prediction model by adopting a random forest algorithm; analyzing the naturalconservation area soil salinity prediction model and an industrial and agricultural area soil salinity prediction model by adopting a cross validation method; obtaining a soil salinity predictor database of the research area; and predicting the soil salinity according to the natural conservation area soil salinity prediction model, the industrial and agricultural area soil salinity prediction model and the soil salinity prediction factor database of the research area. The method can improve the prediction precision of the soil salinity.

Description

technical field [0001] The invention relates to the field of soil salinity monitoring, in particular to a high-resolution monthly soil salinity monitoring method and system for coastal wetlands. Background technique [0002] The sea level rise caused by climate warming and the runoff reduction caused by human activities control a series of changes in the hydrological structure, function and process of coastal wetlands, which in turn lead to severe soil salinization. Soil salinization affects the structure and function of local ecosystems by interfering with biogeochemical elements such as carbon, nitrogen, and phosphorus. In recent decades, it has become a serious environmental hazard, posing a considerable threat to the limited soil resources and ecosystem health of coastal wetlands. Therefore, many researchers conducted field observations to monitor changes in soil salinity. However, due to the large temporal and spatial heterogeneity of soil salinity, it is difficult fo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/24G06Q10/04G06F16/21G06K9/62G06Q10/06
CPCG01N33/24G06Q10/04G06F16/211G06Q10/0639G06F18/2411
Inventor 崔保山隋皓辰杜际增闫家国马旭
Owner BEIJING NORMAL UNIVERSITY
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