Article
Engineering, Civil
Thien Huy Truong Nguyen, Bree Bennett, Michael Leonard
Summary: Stochastic rainfall models are important for evaluating hydrological risks, but there are discrepancies between rainfall metrics and flow metrics. The performance of different models varies depending on the strictness of the flow-based comparison and the region analyzed.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yuehong Shao, Jun Zhao, Jinchao Xu, Aolin Fu, Min Li
Summary: The research on rainfall-runoff is crucial for water resource management, but it's a challenging task due to its complexity. In this study, a NARX model and TOPX model are used for runoff simulation, and cluster analysis is applied to improve the accuracy. The results show that the NARX model can satisfactorily simulate the rainfall-runoff process, and the accuracy is further improved after runoff classification.
Article
Computer Science, Artificial Intelligence
Joseph Kelley, Martin T. Hagan
Summary: This paper provides an extensive comparison of NARX and NARMAX models, revealing that NARMAX models can offer better predictions in certain situations.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Engineering, Environmental
Alejandro Figueroa, Bruno Hadengue, Frank Blumensaat, Joao P. Leitao
Summary: Rain-induced surface runoff and seasons have short-to-medium-term anomalies on storm and wastewater flows and temperatures in wastewater resource recovery facilities (WRRF), while decentralized heat recovery (HR) technologies in buildings affect energy-related processes in urban water cycle and WRRFs. However, there is a lack of quantitative insights on thermal-hydraulic dynamics in sewers at network scale and different scales. Therefore, a modular framework is proposed to enhance the understanding of thermal-hydraulic dynamics and the water-energy nexus across the urban water cycle. The framework is validated using field measurements at full network scale, and simulation results suggest its ability to consistently predict temperature dynamics and quantify the impact of decentralized HR devices.
Article
Water Resources
A. L. Kay, M. J. Brown
Summary: In this study, a hydrological model is driven by observation-based hourly data and high-resolution climate model data to simulate river flows. The results show that the use of observation-based hourly data improves the accuracy of high flows and peak flow bias, but has little effect on low flows. The future changes in peak flows are slightly larger when driven by hourly climate model precipitation compared to equally-disaggregated daily data.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Padala Raja Shekar, Aneesh Mathew, P. S. P. Arun, Varun P. Gopi
Summary: This study used the Soil and Water Assessment Tool (SWAT) model and eight artificial intelligence (AI) models to simulate monthly streamflow in the Murredu River basin. The LSTM model performed exceptionally well in modeling the rainfall-runoff relationship, while the other models also produced satisfactory results. Selecting the most efficient model, like the LSTM, can contribute significantly to the effective management and planning of water resources in the Murredu watershed.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Forestry
Meghdad Jourgholami, Sara Karami, Farzam Tavankar, Angela Lo Monaco, Rodolfo Picchio
Summary: The introduction of heavy machinery for forest harvesting operations in temperate forests has had a severely negative impact on soil water resources. Further research is needed to study the influence of slope gradient on runoff and soil loss. Understanding these impacts is crucial for developing guidelines for forest managers and limiting negative results from timber harvesting operations in mountainous forests.
Article
Environmental Sciences
Sotirios Moustakas, Patrick Willems
Summary: There are various hydrological models available, with many using physically based formulations that require a substantial amount of spatial data. A new top-down approach for distributed rainfall-runoff modelling has been developed to combine accuracy and simplicity by deriving a distributed model with uniform parameters from a calibrated lumped conceptual model. The approach has shown improved performance in capturing internal catchment dynamics compared to the base model, although further improvements are needed for reliable results.
Article
Geosciences, Multidisciplinary
J. K. Kibii, J. A. Du Plessis
Summary: This study focuses on the application of CHIRPS-based Pitman modelling in the Berg Water Management Area (WMA) of South Africa. The simulation results using CHIRPS rainfall data show 80% suitability in simulating flows and a good similarity between observed and CHIRPS-based flows. Therefore, this research recommends the use of CHIRPS-based rainfall data as a suitable alternative in simulating flows for South Africa.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Engineering, Civil
Wen Liu, Bernard A. Engel, Qi Feng
Summary: This study developed a simple water balance model for simulating green roof runoff, which accurately captured the hydrological responses of green roofs under various conditions. Sensitivity analysis highlighted key parameters influencing green roof runoff, emphasizing the importance of proper design for optimal performance.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
David Feldmann, Patrick Laux, Andreas Heckl, Manfred Schindler, Harald Kunstmann
Summary: The study aims to determine robust Manning resistance coefficients (n) based on consecutive artificial rainfall experiments on natural hillslopes available in literature. Manning resistance coefficient is particularly important in 2D hydraulic heavy rainfall simulations, as there is a wide range of possible resistance values available leading to significantly different results regarding the accumulation of surface runoff.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Matej Radinja, Mateja Skerjanec, Mojca Sraj, Saso Dzeroski, Ljupco Todorovski, Natasa Atanasova
Summary: In this study, an automated model discovery approach based on equation discovery was used to find the optimal rainfall-runoff model for urban drainage systems. The method proved to be efficient and resulted in nine models with very good performance, with the best performance achieved by combining two different infiltration methods.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Koichi Unami, Rasha M. Fadhil, Osama Mohawesh
Summary: A new concept was developed to mathematically understand the dynamics of rainfall-runoff events in a barren catchment of the Jordan Rift Valley. The researchers used linear ARX models and fractional differential equations to model and analyze the relationship between rainfall and runoff.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Gebre Gelete, Vahid Nourani, Huseyin Gokcekus, Tagesse Gichamo
Summary: This study evaluates the performance of multiple models for rainfall-runoff-sediment process in Katar catchment, Ethiopia. The results show that the ANFIS model outperformed other single models, and the integration of artificial intelligence and physically-based models improved the accuracy. The NE technique demonstrated better accuracy by improving individual models by 5.8-27.6% for rainfall-runoff and 3.59-37.9% for suspended sediment load.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Engineering, Civil
Gerhard Schoener, Mark C. Stone, Charles Thomas
Summary: In dryland watersheds, infiltration excess overland flow is the dominant mechanism for runoff generation. Rainfall-runoff models partition precipitation into loss and excess precipitation components, with many using simple loss models due to the complexity and uncertainty of more sophisticated models at larger spatial scales.
JOURNAL OF HYDROLOGY
(2021)
Article
Chemistry, Analytical
Andreas Krietemeyer, Hans van der Marel, Nick van de Giesen, Marie-Claire ten Veldhuis
Summary: Low-cost dual-frequency receivers and antennas have opened up new applications in areas where traditional GNSS equipment is too expensive. However, using low-cost antenna equipment often leads to poorly defined phase patterns and increased noise and errors. This study presents a field calibration method that relies on low-cost solutions, requires limited expertise, and can assess antenna quality and performance. The calibration method improves the accuracy and precision of low-cost antennas and has a positive impact on deformation monitoring, GNSS meteorology, and positioning.
Article
Environmental Sciences
Sergio A. Salinas-Rodriguez, Nick C. van de Giesen, Michael E. McClain
Summary: This study evaluates flow variability contributions in 40 rivers in Mexico and calculates eflow reference values for water allocation under different management objectives. The results show significant differences in flow variability between hydrological conditions and streamflow types, and the new frequency of occurrence provides climate-smart reference values.
Article
Environmental Sciences
Banafsheh Abdollahi, Fakhereh Alidoost, Davood Moshir Panahi, Rolf Hut, Nick van de Giesen
Summary: The reproducibility of computational hydrology is a focus of attention among hydrologists. A set of open-source Python and YAML scripts are presented to improve the reproducibility of the GlobWat model by processing weather inputs. The evaluation in the Urmia Lake Basin in Iran demonstrates the advantage of using these scripts and provides insights into the causes of differences in model outcomes.
Article
Environmental Studies
Uwacu Alban Singirankabo, Maurits Willem Ertsen, Nick van de Giesen
Summary: This article empirically assesses the relations between land tenure security and smallholder farms' crop production in Rwanda based on a data set from four research sites over the course of three agricultural years. The findings indicate that there is no statistical correlation between land tenure security and crop harvests. Factors related to the ongoing crop intensification program contribute more to the increase in small farm harvests. Lower land tenure security does not affect farmers' satisfaction with the crop program.
Article
Energy & Fuels
Chelsea Kaandorp, Tes Miedema, Jeroen Verhagen, Nick van de Giesen, Edo Abraham
Summary: This study proposes a computational approach to find a mix of heat options per neighborhood that minimizes cumulative carbon emissions between 2030 and 2050. The results show that ambitious measures for building insulation and decarbonization in electricity generation can significantly reduce committed emissions, with low temperature heat systems being the optimal solution.
Article
Ecology
K. A. Bates, J. Friesen, A. Loyau, H. Butler, V. T. Vredenburg, J. Laufer, A. Chatzinotas, D. S. Schmeller
Summary: The study investigated how the skin microbiome of wild Dhofar toads in Oman is influenced by host environment, pathogen presence, and host biology. The results showed that skin microbiome diversity is mainly influenced by host life stage, water source, and habitat disturbance. The network analysis revealed high site specificity in bacterial co-occurrence patterns.
Article
Agronomy
Sehouevi Mawuton David Agoungbome, Marie-Claire ten Veldhuis, Nick van de Giesen
Summary: This study identifies safe sowing windows for smallholder farmers in the Sudanian region of West Africa in order to mitigate the adverse impacts of climate change on rainfed agriculture. The research shows that the traditional practice of sowing based on the onset of the season results in crop losses during years with high rainfall intermittency. By simulating crop yield response, the study determines optimal sowing dates that secure optimal yields in 97% of cases.
Article
Engineering, Civil
Gaby J. Grundemann, Enrico Zorzetto, Hylke E. Beck, Marc Schleiss, Nick van de Giesen, Marco Marani, Ruud J. van der Ent
Summary: This research uses the MSWEP dataset to quantitatively characterize global precipitation extremes and calculate extreme precipitation return levels for multiple durations. Results show that the traditional GEV and POT methods are not spatially coherent, while the MEV method has smoother spatial patterns of local extremes.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Monica Estebanez-Camarena, Riccardo Taormina, Nick van de Giesen, Marie-Claire ten Veldhuis
Summary: This study demonstrates the potential of deep learning to model rainfall in West Africa and proposes a methodology for developing deep learning models in data-scarce areas. The two deep learning models built in this study perform well, particularly in rain/no-rain detection, outperforming existing products. The results suggest that deep learning-based regional models are a promising alternative for providing regional rainfall information.
Article
Environmental Sciences
Monica Estebanez-Camarena, Fabio Curzi, Riccardo Taormina, Nick van de Giesen, Marie-Claire ten Veldhuis
Summary: West African food systems and rural socio-economics are heavily reliant on rainfed agriculture, making them highly susceptible to rainfall uncertainty, frequent floods, and droughts. However, reliable rainfall information is currently lacking. This paper proposes a Deep Learning (DL) model that utilizes water vapor (WV) observations and temporal information, in addition to thermal infrared (TIR) data, for satellite rainfall retrieval. The results demonstrate that the incorporation of WV data enhances the detection of convective motions associated with heavy rainfall and allows for the identification of dry air masses from the Sahara Desert that disrupt precipitation events. The developed DL model outperforms the state-of-the-art Integrated MultisatellitE Retrievals for GPM (IMERG) Final Run method in rainfall binary classification, exhibiting fewer false alarms and lower rainfall overdetection rates (FBias <2.0).
Article
Environmental Sciences
Jan Knappe, Manfred van Afferden, Jan Friesen
Summary: Urban blue-green infrastructures (BGIs) play a crucial role in helping cities adapt to climate change and urban pressures. In the urban water cycle, green roofs are important BGIs that can manage and mitigate the direct effects of drought and heavy rainfall. We developed a robust dual-layer green roof water balance model (GR2L) and calibrated it using different green roof types to assess their performance under variable climatic conditions.
FRONTIERS IN CLIMATE
(2023)
Article
Water Resources
Changrang Zhou, Ronald van Nooijen, Alla Kolechkina, Emna Gargouri, Fairouz Slama, Nick van de Giesen
Summary: The dependency structure between hydrological variables plays a critical role in hydrological modeling and forecasting. This study proposes a new method to report inferential uncertainty in a copula parameter, which is based on confidence curves constructed using a pseudo maximum likelihood estimator. The method was tested on synthetic data and applied to two hydrological examples to analyze the probability of major floods and determine the confidence interval for the delay between precipitation and runoff.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Environmental Sciences
Ivo Sippel, Lucie Moeller, Jan Friesen
Summary: Urban trees surrounded by obstructing objects like buildings can have their crown density estimated using smartphone photographs. This novel method provides data to quantify crown development and compare the vitality status of individual trees. It is a practical and cost-effective tool for assessing tree vitality in spatially confined urban areas.
BLUE-GREEN SYSTEMS
(2023)
Article
Geosciences, Multidisciplinary
Henry Zimba, Miriam Coenders-Gerrits, Kawawa Banda, Bart Schilperoort, Nick van de Giesen, Imasiku Nyambe, Hubert H. G. Savenije
Summary: The trend and magnitude of actual evaporation in miombo woodlands are still unknown due to limited observation towers and discrepancies among satellite-based estimates. However, the development of the distributed temperature system (DTS) is improving the accuracy of woodland energy partitioning for evaporation assessment.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Jan Friesen, Moritz Sanne, Ganbaatar Khurelbaatar, Manfred van Afferden
Summary: Safe access to water and sanitation is a basic human right, but over half of global wastewater remains untreated, posing risks to the environment and public health. Cost is a major barrier to water treatment in emerging economies. The OCTOPUS design offers a novel approach by merging individual settlement water treatment systems into larger networks, reducing wastewater management costs and improving access to safe water and sanitation.
Article
Geosciences, Multidisciplinary
Mohamed Khatif Tawaf Mohamed Yusof, Ahmad Safuan A. Rashid, Mohd Faisal Abdul Khanan, Muhammad Zulkarnain Abdul Rahman, Wardatun Ahmar Abdul Manan, Roohollah Kalatehjari, Ali Dehghanbanadaki
Summary: This study investigates the effects of climate change on landslide susceptibility mapping (LSM) using a case study on Penang Island in Malaysia. The results show that future rainfall and temperatures are expected to increase, especially under a higher climate change scenario. LSM can help local authorities identify critical areas for monitoring and responding to landslide risks caused by climate change.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)
Article
Geosciences, Multidisciplinary
Shivam Pandey, Ajay Singh, Anuj Kumar, Inderjeet Tyagi, Rama Rao Karri, Rama Gaur, Hamedreza Javadian, Monu Verma
Summary: This research compares the effectiveness of hydrothermally produced ZnO and SnO2 nanocatalysts in degrading p-nitrophenol, a noxious chemical in water. The study finds that ZnO catalyst has better degradation efficiency compared to SnO2 catalyst. Detailed investigation reveals the optimal conditions for degrading p-nitrophenol using ZnO photocatalysts.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)
Article
Geosciences, Multidisciplinary
Muhammad Farhan Ul Moazzam, Sudeep Thakuri, Ghani Rahman, Byung Gul Lee
Summary: This study explores the elevation dependent warming in the Indus River Basin and its impacts on cryospheric and hydrological changes. The results show significant warming trends in the Tmax and Tmin in the upper Indus Basin, with a more prominent trend observed during the winter season for Tmax. These consistent warming trends can have harmful impacts on the cryosphere of the region, leading to water scarcity and extreme droughts.
PHYSICS AND CHEMISTRY OF THE EARTH
(2024)