رسالة جامعية
Spatial prediction of water table dynamics in Flanders
| العنوان: | Spatial prediction of water table dynamics in Flanders |
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| المؤلفون: | Van de Wauw, Johan |
| المساهمون: | Finke, Peter |
| بيانات النشر: | Ghent University. Faculty of Sciences |
| سنة النشر: | 2012 |
| المجموعة: | Ghent University Academic Bibliography |
| مصطلحات موضوعية: | Earth and Environmental Sciences, Flanders, hydropedology, Geostatistics, Water Table, Phreatic groundwater, drainage class, Digital Soil Mapping, Belgium |
| الوصف: | Shallow water tables are one of the most important land characteristics. They determine the potential land use: the depth is essential in the evaluation of suitability for agriculture and in nature development projects, it is also crucial to identify possible problems with other land uses. Although it is easy to derive the water table on a specific location at one point in time, the depth is highly variable in time (due to its dependence on precipitation surplus) and in space (as is easily observed when strolling through the countryside). The common method for estimating the water table depth in Flanders was by using estimates based on the existing natural drainage class map of Flanders. This natural drainage class map is based on data collected during the national soil survey. It was derived from the depth of gley mottles and the reduction horizon and the position in the landscape and is often used to predict the depth and variability of the water table. Rather than duplicating this methodology, a different method was applied based on actual measurements of the water table. The evaluation was done in three case studies in different part of Flanders: The Dijle Valley, Kluizen and Damme. These encompass some of the major regions where the water table is of great importance: sandy Flanders, river valleys in central Flanders, the coastal region and areas with temporary water tables. The method consisted of three steps: (1) Locations with sufficient water table measurements were used as reference time series. Their data were combined with daily precipitation surplus data using time series analysis to derive climate representative water table statistics. The most important statistics derived were the mean highest water table (MHW) defined as the mean value of the three highest water table levels measured biweekly (or semi-monthly) and the mean lowest water table (MLW) by using the three lowest water table levels. A continuous time series model (PIRFICT) was chosen and implemented, using the precipitation and ... |
| نوع الوثيقة: | doctoral or postdoctoral thesis |
| وصف الملف: | application/pdf |
| اللغة: | English |
| ردمك: | 978-94-6197-077-0 94-6197-077-3 |
| العلاقة: | https://biblio.ugent.be/publication/3040427Test; http://hdl.handle.net/1854/LU-3040427Test; urn:isbn:9789461970770; https://biblio.ugent.be/publication/3040427/file/4336173Test |
| الإتاحة: | https://biblio.ugent.be/publication/3040427Test http://hdl.handle.net/1854/LU-3040427Test https://biblio.ugent.be/publication/3040427/file/4336173Test |
| حقوق: | No license (in copyright) ; info:eu-repo/semantics/restrictedAccess |
| رقم الانضمام: | edsbas.3F55B380 |
| قاعدة البيانات: | BASE |
| ردمك: | 9789461970770 9461970773 |
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