Desarrollo de mapas de líneas piezométricas en el Sistema Acuífero de Zagreb usando diferentes métodos de interpolación
[EN] The large and quickly development that the City of Zagreb has experienced during the last decades has caused an increment of the demanded of resources, between them, the water supplied. Thus the Zagreb Aquifer System, as the only source of potable water of Zagreb, has experienced a decrease of...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | español |
| OAI Identifier: | oai:riunet.upv.es:10251/66244 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/66244 |
| Access Level: | acceso abierto |
| Palabra clave: | Zagreb Aquifer System Spatial Interpolation Methods Ground Water Levels Sistema Acuífero de Zagreb Métodos de Interpolación Espacial Niveles de Agua Subterránea INGENIERIA HIDRAULICA Máster Universitario en Ingeniería Hidráulica y Medio Ambiente-Màster Universitari en Enginyeria Hidràulica i Medi Ambient |
| Sumario: | [EN] The large and quickly development that the City of Zagreb has experienced during the last decades has caused an increment of the demanded of resources, between them, the water supplied. Thus the Zagreb Aquifer System, as the only source of potable water of Zagreb, has experienced a decrease of the ground water levels generating changes in the operation of the system. To analyze this decrement of levels is necessary to study the characteristics of the aquifer: geographic characteristics, geology, pedologic characteristics, hydrogeology, climatic and meteorological characteristics, the Sava River and ground water dependent ecosystems. Next, it was done the spatial interpolation of the aquifer levels using the software ArcGis through four methods: Inverse Distance Weight, Spline, Kriging and Natural Neighbor. The option and parameters of each one of those methods were studied and modified to check which one fits better to this system. The initial data used were the lowest and highest for 15 years with maximum and minimum daily and average monthly data. Before to interpolate and due to the large amount of data, it was done a cluster of them, selecting those data which made a homogeny cloud of observation wells. After the interpolation, it was made an accuracy study using Pearson-Spearman, Root Mean Squared Error and t-test comparing the initial data with the final results of each method. The goal of this study was to help to decide which method was the best one, but it did not work because the result of the four methods was very accurate. So that, the choice was decided through the plots that ArcGis gave, being the Natural Neighbor the method more accurate. These maps obtained by the interpolation in the software were used for draw the four final maps of aquifer levels: maximum and minimum daily levels and maximum and minimum average monthly; correcting the local errors that the interpolation drew. Moreover, some conclusions could be gotten. First of all, the very high hydraulic conductivity, become it in a very dynamic system, generating changes in the direction of the flow depending on the level aquifer and if daily or monthly data are used. Due to, it should be used different kinds of data depending on the scope of the study, because if this is not considered, the yielded results could be wrongs. |
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