In der vorliegenden Arbeit wurde der Einfluss klimarelevanter Parameter (Temperatur und Sonneneinstrahlung) auf die Reduzierung der Infiltrationskapazität untersucht. Des Weiteren wurde getestet, inwieweit sich die Infiltrationskapazität nach Entfernen der oberen, kolmatierten Bodenschicht im Infiltrationsbecken wiederherstellen lässt. Darüber hinaus wurden Methoden auf Grundlage des Bodenwassergehaltes entwickelt, mit denen eine Abschätzung des fortschreitenden Kolmatierungszustandes möglich ist. Um diese Ziele zu erreichen, wurden drei Versuchseinheiten im Feld und Labor aufgebaut.:Abstract Zusammmenfassung Resumen Acknowledgments List of Contents List of Figures List of Tables Acronyms 1 Introduction 1.1 Motivation 1.2 Objectives 1.3 Thesis structure 2 Theoretical background 2.1 Managed aquifer recharge 2.2 Clogging in MAR 2.3 Management of clogging 2.4 MAR-relevant soil parameters 2.4.1 Hydraulic conductivity 2.4.2 Soil water content 2.4.3 Electrical conductivity 2.5 MAR-relevant climate properties 2.5.1 Solar irradiance 2.5.2 Temperature 3 Site description 3.1 Study area 3.2 Climate 3.3 Elbe River 3.4 Hydrogeology 4 Methodology 4.1 Influence of climate on infiltration basin recharge 4.1.1 Temperature 4.1.2 Solar irradiance 4.2 Management of clogging in spreading basins 4.3 Determination of infiltration capacity using water content 4.3.1 Tracer method 4.3.2 Libardi method 4.3.3 Root mean square method 4.3.4 Water content method 4.3.5 Trigger time method 5 Results and discussion 5.1 Influence of climate on infiltration basins 5.1.1 Temperature 5.1.2 Solar irradiance 5.2 Management of clogging in spreading basins 5.2.1 Recovery of infiltration capacity by scraping in field unit 5.2.2 Recovery of infiltration capacity by scraping in lab units 5.3 Determination of infiltration capacity using water content 5.3.1 Tracer method 5.3.2 Libardi method 5.3.3 Root mean square method 5.3.4 Water content method 5.3.5 Trigger time method 5.3.6 Validation process 6 Conclusions 7 Limitations and outlook 8 Bibliography A.1. List of publications A.1.1 List of peer reviewed journal articles A.1.2 List of conference proceedings (only first author) A.2 Geology of the Elbtal Group A.3 Supplementary material / This thesis determines the influence of climate related parameters (temperature and solar irradiance) in the reduction of infiltration capacity in different hydraulic scenarios. It also investigated the efficiency of a recovery method of already clogged infiltration ponds, and finally it developed methods based on soil water content to anticipate severe clogging states. For these objectives, three physical experimental models were constructed in the field and laboratory of the INOWAS research group, located in the city of Pirna, Germany.:Abstract Zusammmenfassung Resumen Acknowledgments List of Contents List of Figures List of Tables Acronyms 1 Introduction 1.1 Motivation 1.2 Objectives 1.3 Thesis structure 2 Theoretical background 2.1 Managed aquifer recharge 2.2 Clogging in MAR 2.3 Management of clogging 2.4 MAR-relevant soil parameters 2.4.1 Hydraulic conductivity 2.4.2 Soil water content 2.4.3 Electrical conductivity 2.5 MAR-relevant climate properties 2.5.1 Solar irradiance 2.5.2 Temperature 3 Site description 3.1 Study area 3.2 Climate 3.3 Elbe River 3.4 Hydrogeology 4 Methodology 4.1 Influence of climate on infiltration basin recharge 4.1.1 Temperature 4.1.2 Solar irradiance 4.2 Management of clogging in spreading basins 4.3 Determination of infiltration capacity using water content 4.3.1 Tracer method 4.3.2 Libardi method 4.3.3 Root mean square method 4.3.4 Water content method 4.3.5 Trigger time method 5 Results and discussion 5.1 Influence of climate on infiltration basins 5.1.1 Temperature 5.1.2 Solar irradiance 5.2 Management of clogging in spreading basins 5.2.1 Recovery of infiltration capacity by scraping in field unit 5.2.2 Recovery of infiltration capacity by scraping in lab units 5.3 Determination of infiltration capacity using water content 5.3.1 Tracer method 5.3.2 Libardi method 5.3.3 Root mean square method 5.3.4 Water content method 5.3.5 Trigger time method 5.3.6 Validation process 6 Conclusions 7 Limitations and outlook 8 Bibliography A.1. List of publications A.1.1 List of peer reviewed journal articles A.1.2 List of conference proceedings (only first author) A.2 Geology of the Elbtal Group A.3 Supplementary material / Esta tesis investigó la influencia de los parámetros relacionados con el clima (temperatura e irradiancia solar) en la reducción de la capacidad de infiltración. También determinó la eficiencia de recuperación de piscinas de infiltración obstruidas después del raspado de la capa superior y finalmente desarrolló métodos basados en el contenido de agua en el suelo para anticipar estados de obstrucción severos. Para estos objetivos se construyeron tres modelos experimentales físicos en el campo y laboratorio del grupo de investigación INOWAS, ubicado en la ciudad de Pirna, Alemania.:Abstract Zusammmenfassung Resumen Acknowledgments List of Contents List of Figures List of Tables Acronyms 1 Introduction 1.1 Motivation 1.2 Objectives 1.3 Thesis structure 2 Theoretical background 2.1 Managed aquifer recharge 2.2 Clogging in MAR 2.3 Management of clogging 2.4 MAR-relevant soil parameters 2.4.1 Hydraulic conductivity 2.4.2 Soil water content 2.4.3 Electrical conductivity 2.5 MAR-relevant climate properties 2.5.1 Solar irradiance 2.5.2 Temperature 3 Site description 3.1 Study area 3.2 Climate 3.3 Elbe River 3.4 Hydrogeology 4 Methodology 4.1 Influence of climate on infiltration basin recharge 4.1.1 Temperature 4.1.2 Solar irradiance 4.2 Management of clogging in spreading basins 4.3 Determination of infiltration capacity using water content 4.3.1 Tracer method 4.3.2 Libardi method 4.3.3 Root mean square method 4.3.4 Water content method 4.3.5 Trigger time method 5 Results and discussion 5.1 Influence of climate on infiltration basins 5.1.1 Temperature 5.1.2 Solar irradiance 5.2 Management of clogging in spreading basins 5.2.1 Recovery of infiltration capacity by scraping in field unit 5.2.2 Recovery of infiltration capacity by scraping in lab units 5.3 Determination of infiltration capacity using water content 5.3.1 Tracer method 5.3.2 Libardi method 5.3.3 Root mean square method 5.3.4 Water content method 5.3.5 Trigger time method 5.3.6 Validation process 6 Conclusions 7 Limitations and outlook 8 Bibliography A.1. List of publications A.1.1 List of peer reviewed journal articles A.1.2 List of conference proceedings (only first author) A.2 Geology of the Elbtal Group A.3 Supplementary material