西安工程大学学报2024,Vol.38Issue(2) :109-115.DOI:10.13338/j.issn.1674-649x.2024.02.014

基于GIS的灌区土壤投入品残留污染监测预警系统

GIS based monitoring and warning system for residual pollution of soil inputs in irrigation areas

马海霞 郭全恩 展宗冰 刘强德 白玉龙 杨城
西安工程大学学报2024,Vol.38Issue(2) :109-115.DOI:10.13338/j.issn.1674-649x.2024.02.014

基于GIS的灌区土壤投入品残留污染监测预警系统

GIS based monitoring and warning system for residual pollution of soil inputs in irrigation areas

马海霞 1郭全恩 2展宗冰 2刘强德 1白玉龙 1杨城1
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作者信息

  • 1. 甘肃省农业科学院农业经济与信息研究所,甘肃兰州 730070
  • 2. 甘肃省农业科学院,甘肃兰州 730070
  • 折叠

摘要

为了解决工业发展导致的灌区土壤投入品残留污染问题,给出一种基于地理信息系统(geo-graphic information system,GIS)的土壤污染监测预警系统.该系统结合 VOC-PF1型传感器、STM32主控芯片和GSM通信模块,实现了高效的数据采集和通信功能.通过反距离加权(in-verse distance weighted,IDW)插值法进行空间分析,并设立预警阈值,实现对灌区土壤投入品残留污染的实时监测和预警.实验结果表明:该系统的监测精度高达98%,监测时长最高为49 s,具有很高的实用性和效率.研究结果不仅为灌区土壤投入品残留污染监测提供了有效手段,也为环境保护和农业可持续发展提供有力支持.

Abstract

This article aims to solve the problem of residual pollution of soil inputs in irrigation areas caused by industrial development,a soil pollution monitoring and early warning system based on geographic information system(GIS)was proposed.The system combined a VOC-PF1 sensor,an STM32 master chip,and a GSM communication module to achieve efficient data col-lection and communication functions.The spatial analysis was carried out by the in-verse dis-tance weighted(IDW)interpolation method,and the early warning threshold was established to realize the real-time monitoring and early warning of soil input residual pollution in the irrigation area.The experimental results show that the monitoring accuracy of the system is as high as 98%,and the monitoring time is up to 49 s,which has high practicability and efficiency.This study not only provides an effective means for the monitoring of soil input residue pollution in ir-rigation areas,but also provides strong support for environmental protection and sustainable ag-ricultural development.

关键词

地理信息系统/灌区土壤投入品残留/污染监测预警/反距离加权插值

Key words

geographic information system(GIS)/residual soil inputs in irrigation areas/pollution monitoring and warning/inverse distance weighted(IDW)interpolation

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基金项目

甘肃省科技计划(23YFNA0031)

甘肃省科技计划(21YF5NA149)

出版年

2024
西安工程大学学报
西安工程大学

西安工程大学学报

CSTPCD
影响因子:0.473
ISSN:1674-649X
参考文献量24
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