| Records |
| Author |
Demuth, S.; Külls, C. |
| Title |
Probability analysis and regional aspects of droughts in southern Germany |
Type |
Journal Article |
| Year |
1997 |
Publication  |
Sustainability of Water Resources under Increasing Uncertainty |
Abbreviated Journal |
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| Volume |
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Issue |
240 |
Pages |
97 |
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| Publisher |
Iahs |
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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. |
| 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 |
Systems and Soft Computing |
Abbreviated Journal |
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| Volume |
5 |
Issue |
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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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2772-9419 |
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no |
| Call Number |
THL @ christoph.kuells @ Aderemi2023200049 |
Serial |
219 |
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| Author |
Külls, C. |
| Title |
Resolving patterns of groundwater flow by inverse hydrochemical modelling in a semiarid Kalahari |
Type |
Conference Article |
| Year |
2000 |
Publication |
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 |
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| Volume |
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Issue |
262 |
Pages |
447 |
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IAHS Press |
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no |
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THL @ christoph.kuells @ Kuells2000resolving |
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62 |
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| Author |
YI, Z.-ji; LIAN, B.; YANG, Y.-qun; ZOU, J.-ling |
| Title |
Treatment of simulated wastewater from in situ leaching uranium mining by zerovalent iron and sulfate reducing bacteria |
Type |
Journal Article |
| Year |
2009 |
Publication |
Transactions of Nonferrous Metals Society of China |
Abbreviated Journal |
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| Volume |
19 |
Issue |
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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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1003-6326 |
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no |
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THL @ christoph.kuells @ yi_treatment_2009 |
Serial |
206 |
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| Author |
Külls, C.; Salameh, E.; Udluft, P. |
| Title |
Assessing water supplies for irrigation-availability of natural resources and sustainability indices |
Type |
Conference Article |
| Year |
2000 |
Publication |
Tropentag Hoffenheim |
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no |
| Call Number |
THL @ christoph.kuells @ Kuells2000assessing |
Serial |
63 |
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| Author |
Ubierna, J.A.J. |
| Title |
Tunnel heritage in Spain: Roots of the underground |
Type |
Journal Article |
| Year |
1998 |
Publication |
Tunnelling and Underground Space Technology |
Abbreviated Journal |
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| 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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0886-7798 |
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THL @ christoph.kuells @ Ubierna1998131 |
Serial |
260 |
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| Author |
Carrión, A.; Fornes, A. |
| Title |
Underground medieval water distribution network in a Spanish town |
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Journal Article |
| Year |
2016 |
Publication |
Tunnelling and Underground Space Technology |
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51 |
Issue |
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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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0886-7798 |
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no |
| Call Number |
THL @ christoph.kuells @ Carrion201690 |
Serial |
264 |
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| Author |
Külls, C. |
| Title |
Demonstration des Potentials der Nitrat-Isotopenanalytik für die Strategieentwicklung der Sanierung Nitrat-belasteter Brunnen |
Type |
Report |
| Year |
2004 |
Publication |
Umweltbundesamt |
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Demonstration des Potentials der Nitrat-Isotopenanalytik für die Strategieentwicklung der Sanierung Nitrat-belasteter Brunnen |
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no |
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THL @ christoph.kuells @ |
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75 |
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| Author |
Külls, C. |
| Title |
Ecohydrological principles in economic models of water resources in drylands and desert restoration |
Type |
Miscellaneous |
| Year |
2014 |
Publication |
UNCCD, 2nd Scient. Conf. |
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THL @ christoph.kuells @ Kuells2014ecohydrological |
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68 |
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| Author |
Arya, S.; Kumar, A. |
| Title |
Evaluation of stormwater management approaches and challenges in urban flood control |
Type |
Journal Article |
| Year |
2023 |
Publication |
Urban Climate |
Abbreviated Journal |
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51 |
Issue |
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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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2212-0955 |
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no |
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THL @ christoph.kuells @ Arya2023101643 |
Serial |
224 |
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