{"title":"热带水库溶解氧预测的时空特征及水质与水文气象信息的关系案例研究:La Miel水电站","authors":"Alzate-Gómez Juliana-Andrea, Aguirre-Duran Cesar, Escobar-Vargas Jorge Alberto, Montoya-Jaramillo Luis-Javier, Piedrahita-Escobar Carlos-César","doi":"10.1177/11786221221150189","DOIUrl":null,"url":null,"abstract":"Hydropower is currently one of the leading renewable energy sources in developing countries. Despite the benefits that it can provide, it also triggers significant environmental impacts, such as changes in the reservoirs’ water quality. In quantifying those changes, dissolved oxygen (DO) is used as one of the water quality indicators and is the most used variable to quantify water quality and analyze water pollution. This paper aims to establish a relationship between water quality and hydrometeorological variables in tropical reservoirs to better estimate dissolved oxygen. Univariate and multivariate techniques were used to analyze temporal and spatial changes in watersheds to better select vital variables for the forecast model, such as Vector Autoregression (VAR). The results show that, for all monitoring stations, the water quality variables associated with the DO process are COD, BOD, and PO₄. Likewise, precipitation and flow discharge were the hydrometeorological parameters that had the most significant impact on DO. Also, the principal component analysis (PCA) allowed us to identify that the strength of the relationships between water quality and hydrometeorology changes depending on the location of the monitoring site. Finally, the implementation of a VAR model showed good performance metrics for dissolved oxygen predictions based on all analyses.","PeriodicalId":44801,"journal":{"name":"Air Soil and Water Research","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Spatial-Temporal Behavior, and on the Relationship Between Water Quality and Hydrometeorological Information to Predict Dissolved Oxygen in Tropical Reservoirs. Case Study: La Miel, Hydropower Dam\",\"authors\":\"Alzate-Gómez Juliana-Andrea, Aguirre-Duran Cesar, Escobar-Vargas Jorge Alberto, Montoya-Jaramillo Luis-Javier, Piedrahita-Escobar Carlos-César\",\"doi\":\"10.1177/11786221221150189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hydropower is currently one of the leading renewable energy sources in developing countries. Despite the benefits that it can provide, it also triggers significant environmental impacts, such as changes in the reservoirs’ water quality. In quantifying those changes, dissolved oxygen (DO) is used as one of the water quality indicators and is the most used variable to quantify water quality and analyze water pollution. This paper aims to establish a relationship between water quality and hydrometeorological variables in tropical reservoirs to better estimate dissolved oxygen. Univariate and multivariate techniques were used to analyze temporal and spatial changes in watersheds to better select vital variables for the forecast model, such as Vector Autoregression (VAR). The results show that, for all monitoring stations, the water quality variables associated with the DO process are COD, BOD, and PO₄. Likewise, precipitation and flow discharge were the hydrometeorological parameters that had the most significant impact on DO. Also, the principal component analysis (PCA) allowed us to identify that the strength of the relationships between water quality and hydrometeorology changes depending on the location of the monitoring site. Finally, the implementation of a VAR model showed good performance metrics for dissolved oxygen predictions based on all analyses.\",\"PeriodicalId\":44801,\"journal\":{\"name\":\"Air Soil and Water Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Soil and Water Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/11786221221150189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Soil and Water Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11786221221150189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
On the Spatial-Temporal Behavior, and on the Relationship Between Water Quality and Hydrometeorological Information to Predict Dissolved Oxygen in Tropical Reservoirs. Case Study: La Miel, Hydropower Dam
Hydropower is currently one of the leading renewable energy sources in developing countries. Despite the benefits that it can provide, it also triggers significant environmental impacts, such as changes in the reservoirs’ water quality. In quantifying those changes, dissolved oxygen (DO) is used as one of the water quality indicators and is the most used variable to quantify water quality and analyze water pollution. This paper aims to establish a relationship between water quality and hydrometeorological variables in tropical reservoirs to better estimate dissolved oxygen. Univariate and multivariate techniques were used to analyze temporal and spatial changes in watersheds to better select vital variables for the forecast model, such as Vector Autoregression (VAR). The results show that, for all monitoring stations, the water quality variables associated with the DO process are COD, BOD, and PO₄. Likewise, precipitation and flow discharge were the hydrometeorological parameters that had the most significant impact on DO. Also, the principal component analysis (PCA) allowed us to identify that the strength of the relationships between water quality and hydrometeorology changes depending on the location of the monitoring site. Finally, the implementation of a VAR model showed good performance metrics for dissolved oxygen predictions based on all analyses.
期刊介绍:
Air, Soil & Water Research is an open access, peer reviewed international journal covering all areas of research into soil, air and water. The journal looks at each aspect individually, as well as how they interact, with each other and different components of the environment. This includes properties (including physical, chemical, biochemical and biological), analysis, microbiology, chemicals and pollution, consequences for plants and crops, soil hydrology, changes and consequences of change, social issues, and more. The journal welcomes readerships from all fields, but hopes to be particularly profitable to analytical and water chemists and geologists as well as chemical, environmental, petrochemical, water treatment, geophysics and geological engineers. The journal has a multi-disciplinary approach and includes research, results, theory, models, analysis, applications and reviews. Work in lab or field is applicable. Of particular interest are manuscripts relating to environmental concerns. Other possible topics include, but are not limited to: Properties and analysis covering all areas of research into soil, air and water individually as well as how they interact with each other and different components of the environment Soil hydrology and microbiology Changes and consequences of environmental change, chemicals and pollution.