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Author Demuth, S.; Külls, C. openurl 
  Title Probability analysis and regional aspects of droughts in southern Germany Type Journal Article
  Year 1997 Publication (up) Sustainability of Water Resources under Increasing Uncertainty Abbreviated Journal  
  Volume Issue 240 Pages 97  
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  Publisher Iahs Place of Publication Editor  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Demuth1997probability Serial 35  
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Author Aderemi, B.A.; Olwal, T.O.; Ndambuki, J.M.; Rwanga, S.S. url  openurl
  Title Groundwater levels forecasting using machine learning models: A case study of the groundwater region 10 at Karst Belt, South Africa Type Journal Article
  Year 2023 Publication (up) Systems and Soft Computing Abbreviated Journal  
  Volume 5 Issue Pages 200049  
  Keywords Artificial intelligence, Forecasting model, Groundwater levels, Machine learning, Neural networks, Rainfall, Regression, Temperature, Time series  
  Abstract The crucial role which groundwater resource plays in our environment and the overall well-being of all living things can not be underestimated. Nonetheless, mismanagement of resources, over-exploitation, inadequate supply of surface water and pollution have led to severe drought and an overall drop in groundwater resources’ levels over the past decades. To address this, a groundwater flow model and several mathematical data-driven models have been developed for forecasting groundwater levels. However, there is a problem of unavailability and scarcity of the on-site input data needed by the data-driven models to forecast the groundwater level. Furthermore, as a result of the dynamics and stochastic characteristics of groundwater, there is a need for an appropriate, accurate and reliable forecasting model to solve these challenges. Over the years, the broad application of Machine Learning (ML) and Artificial Intelligence (AI) models are gaining attraction as an alternative solution for forecasting groundwater levels. Against this background, this article provides an overview of forecasting methods for predicting groundwater levels. Also, this article uses ML models such as Regressions Models, Deep Auto-Regressive models, and Nonlinear Autoregressive Neural Networks with External Input (NARX) to forecast groundwater levels using the groundwater region 10 at Karst belt in South Africa as a case study. This was done using Python Mx. Version 1.9.1., and MATLAB R2022a machine learning toolboxes. Moreover, the Coefficient of Determination (R2);, Root Mean Square Error (RMSE), Mutual Information gain, Mean Absolute Percentage Error (MAPE), Mean Squared Error (MSE), Mean Absolute Error (MAE), and the Mean Absolute Scaled Error (MASE)) models were the forecasting statistical performance metrics used to assess the predictive performance of these models. The results obtained showed that NARX and Support Vector Machine (SVM) have higher performance metrics and accuracy compared to other models used in this study.  
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  ISSN 2772-9419 ISBN Medium  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Aderemi2023200049 Serial 219  
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Author Külls, C. openurl 
  Title Resolving patterns of groundwater flow by inverse hydrochemical modelling in a semiarid Kalahari Type Conference Article
  Year 2000 Publication (up) Tracers and Modelling in Hydrogeology: TraM’2000: Proceedings of TraM’2000, the International Conference on Tracers and Modelling in Hydrogeology Held at Liège, Belgium, in May 2000 Abbreviated Journal  
  Volume Issue 262 Pages 447  
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  Area Expedition Conference IAHS Press  
  Notes Approved no  
  Call Number THL @ christoph.kuells @ Kuells2000resolving Serial 62  
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Author YI, Z.-ji; LIAN, B.; YANG, Y.-qun; ZOU, J.-ling url  openurl
  Title Treatment of simulated wastewater from in situ leaching uranium mining by zerovalent iron and sulfate reducing bacteria Type Journal Article
  Year 2009 Publication (up) Transactions of Nonferrous Metals Society of China Abbreviated Journal  
  Volume 19 Issue Pages 840  
  Keywords basification, sulfate, sulfate reducing bacteria (SRB), uranium, wastewater, zerovalent iron (ZVI)  
  Abstract Batch and column experiments were conducted to determine whether zerovalent iron (ZVI) and sulfate reducing bacteria (SRB) can function synergistically and accelerate pollutant removal. Batch experiments suggest that combining ZVI with SRB can enhance the removal of U(?) synergistically. The removal rate of U(?) in the ZVI+SRB combining system is obviously higher than the total rate of ZVI system and SRB system with a difference of 13.4% at t=2 h and 29.9% at t=4 h. Column experiments indicate that the reactor filled with both ZVI and SRB biofilms is of better performance than the SRB bioreactor in wastewater basification, desulfurization and U(?) fixation. The results imply that the ZVI+SRB permeable reactive barrier may be a promising method for treating subsurface uranium contamination.  
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  ISSN 1003-6326 ISBN Medium  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ yi_treatment_2009 Serial 206  
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Author Külls, C.; Salameh, E.; Udluft, P. openurl 
  Title Assessing water supplies for irrigation-availability of natural resources and sustainability indices Type Conference Article
  Year 2000 Publication (up) Tropentag Hoffenheim Abbreviated Journal  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Kuells2000assessing Serial 63  
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Author Ubierna, J.A.J. url  openurl
  Title Tunnel heritage in Spain: Roots of the underground Type Journal Article
  Year 1998 Publication (up) Tunnelling and Underground Space Technology Abbreviated Journal  
  Volume 13 Issue 2 Pages 131-141  
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  Abstract Spain has deep roots in the underground. The territory of myth and legend, of cave and tunnel, has existed in Spain since that ancient time overwhelmed with shreds of fog, where all was myth around heros like Túbal Hércules, Gárgoris and Abidis. The underground evokes strong links with life and death, light and darkness, and has served as a source of inspiration for art through the centuries. The history of tunnels in Spain reflects the mosaic of cultures that have inhabited Iberia from prehistoric times till today. This contribution on the subterranean History of Spain traces the country’s heritage in the form of natural caves, troglodyte dwellings, mining, crypts, galleries in fortresses and castles, aqueducts, qanats, cellars, and other landmarks.  
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  ISSN 0886-7798 ISBN Medium  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Ubierna1998131 Serial 260  
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Author Carrión, A.; Fornes, A. url  openurl
  Title Underground medieval water distribution network in a Spanish town Type Journal Article
  Year 2016 Publication (up) Tunnelling and Underground Space Technology Abbreviated Journal  
  Volume 51 Issue Pages 90-97  
  Keywords Water distribution, Underground cistern, Medieval tunnel  
  Abstract The city of Alcudia de Crespins, in the centre of the Valencia province (east of Spain), has an exceptional water distribution system that in the past served fresh water to many houses in the town. This system is formed by more than one km of tunnels and underground cisterns, and dates probably in the late medieval times, while it has been in use and suffering modifications until 1955. This paper presents the structure and characteristics of such exceptional system, and explains the functioning parameters of the infrastructure.  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Carrion201690 Serial 264  
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Author Külls, C. openurl 
  Title Demonstration des Potentials der Nitrat-Isotopenanalytik für die Strategieentwicklung der Sanierung Nitrat-belasteter Brunnen Type Report
  Year 2004 Publication (up) Umweltbundesamt Abbreviated Journal  
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  Abstract Demonstration des Potentials der Nitrat-Isotopenanalytik für die Strategieentwicklung der Sanierung Nitrat-belasteter Brunnen  
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  Notes Approved no  
  Call Number THL @ christoph.kuells @ Serial 75  
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Author Külls, C. doi  openurl
  Title Ecohydrological principles in economic models of water resources in drylands and desert restoration Type Miscellaneous
  Year 2014 Publication (up) UNCCD, 2nd Scient. Conf. Abbreviated Journal  
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  Call Number THL @ christoph.kuells @ Kuells2014ecohydrological Serial 68  
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Author Arya, S.; Kumar, A. url  openurl
  Title Evaluation of stormwater management approaches and challenges in urban flood control Type Journal Article
  Year 2023 Publication (up) Urban Climate Abbreviated Journal  
  Volume 51 Issue Pages 101643  
  Keywords Flood risk, Green infrastructure (GI), Stormwater management, Stormwater modelling, Vulnerability assessment, Urban floods  
  Abstract Across the globe, the damage caused by urban floods has increased manifold. The unchecked development has encroached the natural drainage, and the conventional drainage systems are inadequate in handling the augmented hydrological response. To counter this, a variety of approaches with the ability to adjust within the constraints of complex environments by managing surface runoff are being widely investigated and applied worldwide. These can put the flood water to better use, and the ecological balance may get restored. This review discusses recent progress made in the area of Green Infrastructure (GI), modelling tools that help in stormwater management, vulnerability analysis and flood risk assessment. Different ways of handling the problem are summarized through an extensive literature survey. The gaps and barriers that impede the implementation of stormwater management solutions and strategies for further improvement have also been presented. A case study of Gurugram city, India depicting the challenges being faced by urban flooding and the possible solutions through an expert survey is also presented.  
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  ISSN 2212-0955 ISBN Medium  
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  Call Number THL @ christoph.kuells @ Arya2023101643 Serial 224  
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