城市供水和废水的预测混合模型:在 rkiye中展示的全球框架

Mehmet Melikoglu
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引用次数: 0

摘要

本文介绍了一种新的混合经验分析模型框架,用于城市取水和废水产生的预测预测。应用于t rkiye,该框架生成了对城市水系统的设计、模拟和运营规划至关重要的定量预测。它严格地评估了这些先进模型的预测能力。预测显示,到2030年,土耳其的城市取水量将在72亿至80亿立方米之间,到2040年将达到74亿至86亿立方米,同年的废水排放量估计在57亿至75亿立方米之间,61亿至89亿立方米之间。预测得到了稳健的统计验证,包括高决定系数(R2)和低平均绝对百分比误差(MAPE)值,并与之前的2035年预测具有很强的兼容性(106 %-116 %匹配)。这个高度适应性和可转移的计算框架为全球环境建模者和系统分析师提供了一个强大的工具,支持可持续城市水资源管理的知情决策,并推进更清洁的水成果和循环经济原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive hybrid modelling for municipal water and wastewater: A global framework demonstrated in Türkiye
This study introduces a novel hybrid empirical-analytical modeling framework for predictive forecasting of municipal water abstraction and wastewater generation. Applied in Türkiye, this framework generates quantitative projections critical for design, simulation, and operational planning of urban water systems. It rigorously assesses the predictive capacities of these advanced models. Forecasts indicate municipal water abstraction in Türkiye will range from 7.2 to 8.0 billion m3 in 2030 and 7.4–8.6 billion m3 in 2040, with wastewater discharge estimated between 5.7 and 7.5 billion m3 and 6.1–8.9 billion m3 for the same years. Projections are supported by robust statistical validation including high coefficient of determination (R2) and low mean absolute percentage error (MAPE) values, and show strong compatibility with previous 2035 forecasts (106 %-116 % match). This highly adaptable and transferable computational framework offers a powerful tool for environmental modelers and systems analysts globally, supporting informed decision-making for sustainable urban water resource management, and advancing cleaner water outcomes and circular economy principles.
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