Python语言在水资源质量评价中的应用与展望

Application and Prospect of Python Language in Water Resource Quality Assessment

摘要: 针对当前水资源质量评价工作中存在的传统数据处理软件功能局限、海量数据处理能力不足以及技术集成度低等问题，本文系统分析了Python语言在突破上述瓶颈方面的技术优势，提出了一套基于Python的水资源质量评价系统技术架构，涵盖水质分类评价、水体营养状态评价、黑臭水体污染程度评价及交互式水质地图绘制等典型应用场景。测试结果表明，Python能显著提升数据处理效率与评价科学性，同时实现水资源质量问题的可视化。未来Python语言在水资源管理、水资源质量评价领域具有更加广阔的应用前景。

Abstract: To address the limitations of traditional data processing software in current water quality assessments, such as functional constraints, inadequate capacity for processing massive data, and low technical integration, this paper systematically analyzes Python’s technical advantages in overcoming these bottlenecks. It proposes a Python-based technical framework for a water quality assessment system, covering typical application scenarios such as water quality classification, trophic status evaluation of water bodies, black-odorous water assessment, and interactive water quality mapping. Test results demonstrate that Python significantly improves data processing efficiency and the scientific rigor of assessments, while facilitating the visualization of water resource quality issues. Ultimately, Python shows great potential for broader applications in water resource management and water resource quality assessment.