Article
Environmental Sciences
Wondmyibza Tsegaye Bayou, Stefan Wohnlich, Mebruk Mohammed, Tenalem Ayenew
Summary: This research aims to estimate baseflow in the Sor and Gebba watershed using various hydrograph analysis techniques. The analysis showed that automated filtering techniques tend to overestimate baseflow compared to manual techniques, with below-average contribution from the underground storage aquifer to streamflow. The Baseflow Index values are proportional for both streams in the watershed, estimated at around 33%.
Article
Environmental Sciences
C. A. Ross, A. K. Phillips, L. Gospodyn, C. J. Oswald, C. C. Wellen, R. J. Sorichetti
Summary: This study aimed to improve the prediction of nutrient fluxes from agricultural streams in southern Ontario by improving the representation of water source contributions to streamflow in generalized additive models. By calibrating a recursive digital filter using stable isotopes of oxygen in water, the accuracy of baseflow estimates was significantly improved. The revised model provided a more accurate prediction of nutrient losses from the agricultural watersheds.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Shengjia He, Yan Yan, Ke Yu, Xiaoping Xin, Sandra M. Guzman, Jun Lu, Zhenli He
Summary: To improve the reliability of baseflow separation in rainy regions, a self-adaptive nonlinear reservoir algorithm (SA-NRA) was developed in this study. SA-NRA showed good performance in fitting baseflow recession behaviors in a rainy watershed in eastern China. Traditional NRA and ERDF may fail to provide reliable baseflow predictions for non-pure baseflow recession periods, and more attention should be paid to the uncertainties in baseflow separation in rainy regions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Engineering, Civil
Hsin-Fu Yeh, Hsin-Yu Chen
Summary: Taiwan is facing severe disasters such as droughts and floods. Studying the hydrologic response characteristics is crucial for understanding catchment behavior and evaluating river's ability to maintain streamflow. This study divided water flow into four components: fast runoff, intermediate interflow, slow runoff, and dry weather flow, providing a more realistic presentation of the rainfall-runoff process. Results showed that baseflow consisted of intermediate interflow, slow runoff, and dry weather flow. Rainfall intensity was found to be the most important factor affecting streamflow composition. These findings are valuable for establishing rainfall-runoff models and guiding sustainable water resource management.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Rong Gan, Mengsha Xu, Feng Yang, Qiting Zuo, Xinyu Zhang
Summary: This study investigated the suitability of baseflow separation methods and characteristics in the Yiluo River basin. The Chapman digital filter (F2) method was found to be the most stable and reliable for baseflow separation in the basin. The trend of baseflow is consistent with streamflow but opposite to the baseflow index (BFI). Some stations showed significant increasing or decreasing trends in annual baseflow. The study provides theoretical support for runoff and groundwater management in the basin.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Klaus Eckhardt
Summary: Recursive digital filtering is widely used to analyze streamflow components in response to precipitation. Physically based and non-physically based algorithms are commonly used in this context. The comparison between the algorithms of Furey and Gupta (2001) and Eckhardt (2005) shows that they mostly agree, with the only differences being the time delay assumption and the combination of parameters into one parameter, BFImax.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Environmental Sciences
Liu Zheng, Sheng Fei, Liu Shi-yu, Wang Yan-yan, Zhou Chang-ming, Gu Chao-jun
Summary: This study quantitatively analyzed the effects of precipitation, evapotranspiration, temperature, and vegetation restoration on baseflow in a small watershed in subtropical China. The results showed that precipitation was the dominant factor affecting baseflow, with different effects at seasonal and annual scales. This study demonstrates that baseflow variation is primarily attributed to climate change.
JOURNAL OF MOUNTAIN SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Qin Zhang, Liping Zhang, Dunxian She, Shuxia Wang, Gangsheng Wang, Sidong Zeng
Summary: The study utilized an automatic model and analysis method to accurately determine key flood characteristics and developed a corresponding toolbox. The results show that this method can effectively be applied to watersheds with diverse characteristics.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Agronomy
Marven W. Stops, Pamela L. Sullivan, Edward Peltier, Bryan Young, Andrea E. Brookfield
Summary: This article explores the impacts of a best management practice known as tile-outlet-terraces (TOT) on hydro-bio-geochemical behavior in intensively managed landscapes. The study reveals that while TOTs shift the hydrology of agroecosystems away from natural conditions, the size of storm events and antecedent conditions still dominate the hydrologic and biogeochemical response.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Engineering, Environmental
Yanwei Sun, Cundong Xu, Mingwei Ma, Xuemei Liu, Lei Liu, Furong Yu
Summary: This study analyzed the fluctuations of annual, seasonal, and monthly baseflow in the Liujang River Basin in China. The results showed that the annual baseflow decreased significantly, and the baseflow and baseflow index (BFI) had different distributions in different seasons. The study also found that there were no significant correlations between baseflow and potential evapotranspiration, precipitation, humidity index, and temperature.
Article
Environmental Sciences
Benjamin Hagedorn, Christina Meadows
Summary: This study analyzes the response of water systems to climate change in Michigan, indicating significant variability in baseflow and baseflow index in different watersheds. Long-term trends in precipitation and snow- to rainfall transitions are shown to have a significant impact on baseflow and BFI, with different effects observed in different regions.
Article
Water Resources
Tadesual Asamin Setargie, Seifu Admasu Tilahun, Petra Schmitter, Mamaru Ayalew Moges, Seifu Kebede Gurmessa, Atsushi Tsunekawa, Mitsuru Tsubo, Mulatu Liyew Berihun, Ayele Almaw Fenta, Nigussie Haregeweyn
Summary: This study focused on using stable isotopes of water as tracers to estimate the contribution of groundwater in shallow hillslope aquifers to streamflow in the Robit-Bata watershed in Ethiopia. The research revealed heavy isotopic enrichment of local water lines compared to global metrics, and indicated a rapid response of shallow groundwater to rainfall, with significant spatial correlation depending on topographic positions of wells.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Plant Sciences
Anais Galvan, Renato Beozzo Bassanezi, Weiqi Luo, Pilar Vanaclocha, Antonio Vicent, Elena Lazaro
Summary: This study proposes a flexible methodology for controlling the vectors of Huanglongbing in the Mediterranean Basin and suggests the division of pest management areas. The risk-based approach considers climatic information and other variables, and the size and location of the areas are estimated using a clustering algorithm.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Environmental Sciences
Lili Yao, A. Sankarasubramanian, Dingbao Wang
Summary: This study evaluates the impacts of climate and landscape characteristics on long-term baseflow using various indices and functions. The results show that storage capacity has a significant impact on baseflow indices, with different sensitivities in arid and humid regions, while the shape parameter plays a role in different ways in different regions.
WATER RESOURCES RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Soonyoung Yu, Gitak Chae, Junseop Oh, Se-Hoon Kim, Dong-Il Kim, Seong-Taek Yun
Summary: Characterizing subsurface flow in karstic areas is challenging due to the presence of distinct flow paths and lithologic heterogeneity. By employing hydrochemical, environmental isotopic, and hydrograph separation studies, the researchers were able to understand the different types of spring water flow patterns in a karst terrain with overlying Ordovician carbonate rocks and underlying Jurassic sandstone and shale. The results showed that Type II springs had higher electrical conductivity and mineral content compared to Type I, which was unexpected given their different flow patterns. Most Type II springs and deep groundwater were found in carbonate rocks, while Type I and shallow groundwater were distributed in various geological settings. The study also highlighted the importance of combining different methods to effectively characterize flow paths in complex geological environments.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Environmental Sciences
Michele Bottazzi, Marialaura Bancheri, Mirka Mobilia, Giacomo Bertoldi, Antonia Longobardi, Riccardo Rigon
Summary: Evapotranspiration (ET) is a key variable in the hydrological cycle and its accurate prediction is crucial for water resource management. Various methods have been developed for indirect estimation of ET, with continuous efforts to seek more precise modeling approaches.
Article
Computer Science, Information Systems
Mirka Mobilia, Antonia Longobardi
Summary: The study assesses the accuracy of six meteorological data-based models in predicting evapotranspiration losses at monthly scale by comparing modelled fluxes with observed ones. Results show that model performances vary depending on vegetation and climate characteristics, with the Advection-Aridity approach generally being the most accurate, especially without model calibration. However, the Granger and Gray approach is the most accurate after calibration but is not recommended in data scarcity scenarios due to its high sensitivity to the calibration process.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Meteorology & Atmospheric Sciences
Antonia Longobardi, Ouafik Boulariah
Summary: This article examines the long-term precipitation variability and inter-annual climate variability in the Campania region of Southern Italy, and finds a significant increase in inter-annual precipitation variability in the area, while other precipitation indicators show relatively small changes.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Environmental Sciences
Roberta D'Ambrosio, Antonia Longobardi, Alessandro Balbo, Anacleto Rizzo
Summary: Urban sprawl and soil sealing have led to an increase in impervious surfaces, impacting flooding risk. A hybrid approach utilizing both storm water detention tanks and low-impact development has been identified as the best solution for managing urban flooding and improving city resilience. Implementation of this approach can reduce SWDTs volumes, but performance varies based on LID type, parameterization, and rainfall severity.
Article
Plant Sciences
A. Balbo, A. Longobardi, A. Rizzo, R. D'Ambrosio
Summary: In recent decades, urban flooding has increased due to urban sprawl and soil sealing. Sustainable Drainage Systems (SuDS) have the potential to mitigate stormwater-related issues and enhance sustainability and resilience in cities. This study assessed the effectiveness of a sustainable drainage approach in Sesto Ulteriano, Italy, using a detailed and feasible retrofit design of SuDS. The study found that SuDS projects based on potential designs without considering suitable locations could result in significant overestimation of hydrological benefits.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Environmental Sciences
Anna Pelosi, Giovanni Battista Chirico, Pierluigi Furcolo, Paolo Villani
Summary: This study proposes a methodology for assessing mean annual maximum rainfall at sub-hourly scale by combining historical and newer time series data. A linear correlation is found between rainfall maxima with different durations, enabling the use of mechanical station data for sub-hourly assessments.
Article
Mechanics
L. Sarno, Y. Wang, Y. -C. Tai, M. N. Papa, P. Villani, M. Oberlack
Summary: In this study, a multilayer model combined with mu(I)-rheology and a dilatancy law is used to model and compare granular avalanches with laboratory experiments. The results demonstrate the good performance of the multilayer model and the underlying mu(I)-rheology in capturing the dynamics of granular flow.
Article
Water Resources
Antonia Longobardi, Paolo Villani
Summary: Low-flow hydrological features are essential for efficient development and integrated water resources management. The BaseFlow Index 'BFI' is a key index for measuring low-flow. This study investigates the relative control of climate and catchment properties on the 'BFI' using an empirical analysis and a simulation experiment. The findings show that the correlation between 'BFI' and precipitation volume is influenced by both climate variability and catchment properties, with geological catchment features playing a major role.
HYDROLOGY RESEARCH
(2023)
Proceedings Paper
Computer Science, Information Systems
Mirka Mobilia, Antonia Longobardi
Summary: Green roofs are shown to be effective in mitigating urban floods, with potential benefits in stormwater management and reduction of runoff volume and peak flow. Satellite image analysis can help identify suitable areas for green roof retrofit, with a study showing improved hydrological behavior compared to traditional land cover scenarios.
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT (GISTAM)
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Antonia Longobardi, Grazia Fattoruso, Guido Guarnieri, Antonio Di Pietro, Luigi La Porta, Alberto Tofani, Maurizio Pollino
Summary: RAFAEL project aims to support the protection and risk analysis of critical infrastructures by managing multiple infrastructures, evaluating the impacts of natural disasters, and addressing water supply network issues using heuristic methods.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VIII
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Roberta D'Ambrosio, Mirka Mobilia, Irandyk Fanilevich Khamidullin, Antonia Longobardi, Alexey Nikolaevich Elizaryev
Summary: Green Roofs are an effective solution for reducing flooding risk in urban areas by replicating natural soils' drainage patterns. The retention capacity of these roofs depends on climate and design variables, with substrates and drainage materials playing a crucial role. Research analyzed the hydrological behavior of different Green Roof modules and specifically focused on the impact of biochar on retention capacity. Simulation under various rainfall inputs was conducted to compare system performance.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VIII
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Maurizio Pollino, Antonio Di Pietro, Luigi La Porta, Grazia Fattoruso, Sonia Giovinazzi, Antonia Longobardi
Summary: Critical Infrastructure Protection (CIP) is a key focus on the European and International Agenda, with the need for effective prevention and protection measures to mitigate impacts from natural disasters. The RAFAEL Project's CIPCast system aims to support risk analysis and emergency management, with a specific focus on earthquake simulation.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT III
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Mirka Mobilia, Roberta D'Ambrosio, Remy Claverie, Antonia Longobardi
Summary: Urbanization has increased imperviousness and led to more frequent floods in cities. Nature Based Solutions like GreenRoofs can help manage stormwater runoff, with soil moisture content being the best predictor of retention capacity.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II
(2021)
Article
Geosciences, Multidisciplinary
Antonia Longobardi, Ouafik Boulariah, Paolo Villani
Summary: The study found a negative trend in drought conditions in the Campania region, particularly evident for accumulation scales longer than 12 months. Drought duration, severity, and peak were found to be affected by different accumulation timescales, with longer scales associated with longer duration and larger severity. Extremely severe drought events had shorter durations, larger severity, and lower frequency compared to moderate drought events, and were not concentrated in specific areas.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Water Resources
O. Boulariah, P. A. Mikhailov, A. Longobardi, A. N. Elizariev, S. G. Aksenov
Summary: This study proposed a method for searching SARIMA model parameters to predict groundwater time series behavior affected by insufficient data length and data gaps. The analysis showed that a specific combination of parameters in the model had a high R-2 value (greater than 92%) and good forecasting skills.
JOURNAL OF GROUNDWATER SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Civil
Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani
Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen
Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao
Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan
Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown
Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu
Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao
Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang
Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu
Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu
Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Manuel Almeida, Antonio Rodrigues, Pedro Coelho
Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang
Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal
Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus
Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.
JOURNAL OF HYDROLOGY
(2024)
Article
Engineering, Civil
Constantin Seidl, Sarah Ann Wheeler, Declan Page
Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.
JOURNAL OF HYDROLOGY
(2024)