Time Series Analysis to Estimate the Volume of Drinking Water Consumption in the City of Meoqui, Chihuahua, Mexico

被引:2
|
作者
Legarreta-Gonzalez, Martin Alfredo [1 ,2 ]
Meza-Herrera, Cesar A. [3 ]
Rodriguez-Martinez, Rafael [4 ]
Chavez-Tiznado, Carlos Servando [1 ]
Veliz-Deras, Francisco Gerardo [4 ]
机构
[1] Univ Tecnol Tarahumara, Guachochi 33180, Mexico
[2] Univ Makeni UniMak, Posgrad Dept, Fatima Campus, Makeni City 00232, Sierra Leone
[3] Univ Autonoma Chapingo, Unidad Reg Univ Zonas Aridas, Bermejillo 35230, Mexico
[4] Univ Autonoma Agr Antonio Narro, Dept Ciencias Med Vet, Unidad Laguna, Torreon 27054, Mexico
关键词
water consumption; forecasting; SARIMA; calibrated models;
D O I
10.3390/w16182634
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water is a vital resource for sustaining life and for numerous processes within the transformation industry. It is a finite resource, albeit one that can be renewed, and thus sustainable management is imperative. To achieve this objective, it is necessary to have the appropriate tools to assist with the planning policies for its management. This paper presents a time series analysis approach to measure and predict the pattern of water consumption by humans throughout subsectors (domestic, commercial, public sector, education, industry, and raw water) and total water consumption in Meoqui, Chihuahua, Mexico with data from 2011 to 2023, applying calibration model techniques to measure uncertainty in the forecasting. The municipality of Meoqui encompasses an area of 342 km(2). The climate is semi-arid, with an average annual rainfall of 272 mm and average temperatures of 26.4 degrees C in summer and 9.7 degrees C in winter. The municipal seat, which has a population of 23,140, is supplied with water from ten wells, with an average consumption of 20 +/- 579 m(3) per user. The consumption of the general population indicates the existence of a seasonal autoregressive integrated moving average (SARIMA) (0,1,2)(0,0,2)(12) model. (Sen's Slope = 682.7, p < 0.001). The domestic sector exhibited the highest overall consumption, with a total volume of 17,169,009 m(3) (13 +/- 93). A SARIMA (2,1,0)(2,0,0)(12) model was estimated, with a Sen's slope of 221.65 and a p-value of less than 0.001. The second-largest consumer of total water was the "raw water" sector, which consumed 5,124,795 (30,146 +/- 35,841) m(3) and exhibited an SARIMA (0,1,1)(2,0,0)(12) model with no statistically significant trend. The resulting models will facilitate the company's ability to define water resource management strategies in a sustainable manner, in alignment with projected consumption trends.
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页数:15
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