A Probabilistic Model to Quantify the Quality of Open Water Bodies

IF 0.5 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS Geofisica Internacional Pub Date : 2020-01-01 DOI:10.22201/IGEOF.00167169P.2020.59.1.2077
J. Lira
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引用次数: 1

Abstract

espanolSe desarrollo un modelo para cuantificar la calidad de los cuerpos de agua abiertos sobre la base de la logica probabilistica multivariada. El modelo se basa en parametros de calidad del agua que ya habian sido reportados en la literatura, tales como: turbidez, clorofila-a, indice de vegetacion y usos de la temperatura superficial derivadas de la distribucion de valores de pixeles de los parametros. Dichas funciones se combinaron mediante la logica probabilistica multivariada que produjo un mapa de niveles de calidad del agua. Posteriormente, el modelo se aplico a los humedales Centla, ubicados en el sureste de Mexico. En ellos pueden observarse numerosos cuerpos de agua en niveles de eutrofizacion variables. Para probar el modelo propuesto, se desarrollaron ejemplos usando una imagen Terra/Aster. Ademas, se propuso una escala cualitativa de grados de calidad del agua. EnglishA model to quantify the quality of open water bodies was developed on the grounds of multivariate probabilistic logic. The model is based on water quality parameters reported in the scientific literature such as: turbidity, chlorophyll-a, vegetation index and superficial temperature and uses probabilistic functions derived from the distribution of Pixel values of such parameters. Such functions were combined by means of the multivariate probabilistic logic that produced a map of water quality levels. The model was then applied to the Centla Wetlands in South East Mexico. In these wetlands, numerous water bodies can be observed in varying levels of eutrophication. To test the proposed model, examples were developed using a Terra/Aster image. A qualitative scale of water quality degrees was proposed.
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开放水体质量量化的概率模型
西班牙人建立了一个基于多元概率逻辑的开放水体质量量化模型。该模型基于文献中已经报道的水质参数,如浊度、叶绿素a、植被指数和由参数像素值分布得出的表面温度利用。利用多元概率逻辑组合这些函数,生成水质水平图。该模型随后应用于墨西哥东南部的Centla湿地。在这些水体中可以观察到不同程度的富营养化。为了验证所提出的模型,使用Terra/Aster图像开发了示例。此外,还提出了水质等级的定性量表。= =地理= =根据美国人口普查,这个县的总面积为,其中土地和(0.964平方公里)水。该模型基于科学文献中报告的水质参数,如:浊度、叶绿素a、植被指数和地表温度,并利用这些参数的像素值分布所得的概率函数。= =地理= =根据美国人口普查局的数据,这个城镇的总面积,其中土地和(1.)水。= =地理= =根据美国人口普查局的数据,该县的总面积为,其中土地和(1.)水。= =地理= =根据美国人口普查局的数据,该县总面积为,其中土地和(1.)水。为了测试这个模型,使用Terra/Aster图像开发了一些例子。= =地理= =根据美国人口普查局的数据,该县总面积为,其中土地和(1.1%)水。
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来源期刊
Geofisica Internacional
Geofisica Internacional 地学-地球化学与地球物理
CiteScore
1.00
自引率
0.00%
发文量
23
审稿时长
>12 weeks
期刊介绍: Geofísica internacional is a quarterly scientific journal that publishes original papers that contain topics that are interesting for the geophysical community. The journal publishes research and review articles, brief notes and reviews books about seismology, volcanology, spacial sciences, hydrology and exploration, paleomagnetism and tectonic, and physical oceanography.
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