journal article·2026-07-26

Research on the Construction of Landfill GIS “One Map” Information Management System Platform

Jiantao Zhang, Di Wang, Shufang Zhai

Applied Sciences· Volume 16· Issue 15
Publisher page

Abstract

Landfilling remains a widely used method for municipal solid waste disposal but may pose long-term risks to soil and groundwater. To address the fragmented management of landfill-related environmental information, this study developed a geographic information system (GIS)-based “One Map” framework that integrates landfill facilities, hydrogeological information, environmental monitoring data, pollutant indicators, and sensitive receptors into a unified spatial database. The framework links spatial features with attribute information and supports visualization, multi-criteria queries, statistical analysis, groundwater-quality assessment, and the preliminary screening of potentially undetected environmental risks. A municipal solid waste landfill in Xichuan County, Nanyang City, China, was selected as a case study, and groundwater quality was evaluated using the single-factor pollution index and Nemerow comprehensive pollution index. No Class III standard exceedance was identified at the five monitoring wells during the sampling event; however, the available hydrogeological and operational data were insufficient to attribute differences among wells to landfill-derived contaminant transport. The primary contribution is not a new GIS engine, but a landfill-specific data model and workflow that integrate fragmented survey outputs into a spatial decision-support environment. Because the case study comprises five wells and a single monitoring campaign, the findings represent a point-specific workflow demonstration rather than temporal or regional validation. Interpretation followed a source–pathway–receptor framework, but source attribution remained constrained by the absence of contemporaneous hydraulic-head data, a verified operational chronology, and quantitative leachate-management records. Repeated monitoring, an upgradient baseline, and a denser well network are required for stronger environmental inference.
Source: crossref · Quality: baseline

Affiliations

School of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China

China Institute of Geological Environment Monitoring, Beijing 100010, China

Funding

National Natural Science Foundation of China

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