Review
Geosciences, Multidisciplinary
Jiri Brychta, Jana Podhrazska, Milada Stastna
Summary: This paper investigates the importance of rainfall erosivity factor (R) in soil erosion models and provides a detailed description of various factors and methods related to the accuracy of R values. The study also identifies issues and suggests improvements in existing methods.
Article
Agronomy
Karl Auerswald, Annette Menzel
Summary: This study analyzed the impact of crop development and rain erosivity on water erosion in arable land, finding that climate change has led to earlier crop growth stages and more erosive rainfall. As a result, differences in erosion potential among crops have decreased, with the winter period becoming more crucial in soil conservation.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Editorial Material
Geosciences, Multidisciplinary
Yu-Chieh Huang, Walter Chen
Summary: This study compared three equations for the rainfall erosivity factor from separate studies published in Catena in 2021 and 2020. It found that all three studies cited the equations incorrectly, as the equations were not found in the supporting references. This could have significant implications for the correctness of the reported results and the interpretation of findings in these studies.
Article
Environmental Sciences
Ryan P. McGehee, Dennis C. Flanagan, Puneet Srivastava, Bernard A. Engel, Chi-Hua Huang, Mark A. Nearing
Summary: Maps of erosivity play a critical role in soil conservation efforts, but current maps in the United States and globally face issues. In this study, the isoerodent map of the United States was updated using extensive precipitation measurements and it was found that topographic effects have a significant impact on erosivity. Benchmarking comparisons also revealed that existing maps underestimate erosivity. Reevaluation of correction methods is needed.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Lisbeth L. Johannsen, Elmar M. Schmaltz, Olivia Mitrovits, Andreas Klik, Wolfgang Smoliner, Shengping Wang, Peter Strauss
Summary: This study created an updated rainfall erosivity map for Austria and its main agricultural production zones based on a larger number of rainfall stations and a recent time series. The study identified differences in temporal and spatial distribution of rainfall erosivity, erosion index, and erosivity density, indicating areas at risk of soil erosion and vulnerability. The significantly larger number of rainfall stations and an updated time series increased the representativeness of rainfall erosivity estimation in Austria, contributing to a more precise soil erosion risk assessment.
Article
Green & Sustainable Science & Technology
Qian Feng, Linyao Dong, Jingjun Liu, Honghu Liu
Summary: A detection framework is introduced in this study to identify temporal changes in rainfall erosivity time series. The framework is effectively applied in analyzing the variation of rainfall erosivity in the Three Gorges Reservoir, China. Compared with traditional methods, the proposed framework reduces uncertainty in the results.
Article
Environmental Sciences
Jimin Lee, Seoro Lee, Jiyeong Hong, Dongjun Lee, Joo Hyun Bae, Jae E. Yang, Jonggun Kim, Kyoung Jae Lim
Summary: This study aimed to develop machine learning models to predict the R-factor more quickly and accurately, using 1-min interval rainfall data to improve accuracy. The Deep Neural Network (DNN) showed the highest prediction accuracy among seven models, with a performance of Nash-Sutcliffe Efficiency (NSE) and coefficient of determination (R-2) of 0.87 in validation.
Editorial Material
Geosciences, Multidisciplinary
Nejc Bezak, Walter Chen
Summary: The review study by Brychta et al. (2022) provides important insights into the spatio-temporal assessment of rainfall erosivity, emphasizing the significance of using regression equations tailored to specific physio-geographic conditions. However, the study incorrectly cited the source of an empirical equation in Table 1 and presented only a partial set of equations. This could lead to erroneous or biased estimations of rainfall erosivity when applying the equation without complete information. Researchers should diligently verify the equations used in their studies from the original sources.
Article
Geosciences, Multidisciplinary
David Dunkerley
Summary: The study evaluated the feasibility of estimating I-30 based on high temporal resolution Australian rainfall data, following the recommendation of Wischmeier and Smith. An index xi was introduced, which is the ratio of I-30 to event depth. The study also found that the value of xi generally falls within the range of 1.3-1.6 for events shorter than 0.5 hours, and rarely reaches 2.
Article
Geosciences, Multidisciplinary
Subhankar Das, Manoj Kumar Jain, Vivek Gupta
Summary: This study prepared the first-ever rainfall erosivity map for India using high-resolution satellite precipitation data, finding that the most erosive season is the summer monsoon, and identifying erosion hotspot areas in India.
Article
Environmental Sciences
Bruno Di Lena, Gabriele Curci, Lorenzo Vergni
Summary: This study calculated multiple indices based on precipitation data to estimate rainfall erosivity, with results showing that MFI and PCI are reliable predictors of R. However, grid data cannot accurately capture the peaks in high-altitude stations and the low values in some inland areas.
Article
Water Resources
Andrea Petroselli, Ciro Apollonio, Davide Luciano De Luca, Pietro Salvaneschi, Massimo Pecci, Tatiana Marras, Bartolomeo Schirone
Summary: This study evaluated the reliability of 12 empirical formulas for USLE rainfall erosivity estimation and used a Stochastic Rainfall Generator to simulate high-resolution rainfall data. Three equations were found to provide better results, and the use of SRG shows promise in addressing the issue of hydrological data scarcity and improving soil erosion prediction accuracy.
Article
Environmental Studies
Francesco Giuseppe Carollo, Alessio Nicosia, Vincenzo Palmeri, Vincenzo Pampalone, Maria Angela Serio, Vito Ferro
Summary: This study compares the differences between the recorded optical drop-size distributions (DSDs) in two experimental areas in Sicily, Italy, and evaluates the applicability of the Gamma theoretical distribution. The relationship between rainfall kinetic power and intensity is also assessed.
Article
Multidisciplinary Sciences
Nazzareno Diodato, Francesco Fiorillo, Massimo Rinaldi, Gianni Bellocchi
Summary: This study estimates soil erosion in the Magra River Basin in the Mediterranean region, finding that rainfall and vegetation cover are important factors. It also shows the environmental history and dynamics of the basin, highlighting the varying sensitivity of hydrological processes.
Article
Ecology
J. Jiao, W. Qin, K. Li, Z. Yin
Summary: The study conducted experimental simulations to explore the relationship between the P factor and different tillage practices under various rainfall intensities and slopes. Results showed that certain tillage methods were more effective in reducing soil loss under specific conditions, providing a basis for soil loss prediction under extreme rainfall events.
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Ulf Buntgen, Gianni Bellocchi
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2019)
Editorial Material
Environmental Sciences
Gianni Bellocchi, Nazzareno Diodato
Article
Environmental Sciences
Nazzareno Diodato, Simona Fratianni, Gianni Bellocchi
REGIONAL ENVIRONMENTAL CHANGE
(2020)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Chiara Bertolin, Gianni Bellocchi, Lavinia de Ferri, Paolo Fantini
Summary: The study reveals a decreasing trend in snowfall frequency and snow depth in northern Italy, which may negatively impact snow-dependent regions in southern Europe. The research also highlights the significant influence of snow regimes on water availability in reservoirs and groundwater.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2020)
Correction
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2021)
Article
Water Resources
Nazzareno Diodato, Inigo Gomara, Alice Baronetti, Simona Fratianni, Gianni Bellocchi
Summary: This research presents the longest ED time series reconstruction in northwest Italy, showing a significant rising trend in ED from 1897 onwards. The extreme values for return periods of 10 and 50 years are also increasing, consistent with the Clausius-Clapeyron scaling of extreme rainfall. Additionally, the North Atlantic Oscillation and Atlantic Multidecadal Oscillation may be associated with rainfall extremes in Piedmont.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Environmental Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
Summary: Soil loss is a significant challenge for sustainable river management, especially in the Mediterranean region, with this study focusing on the Arno River Basin in Italy. By analyzing factors influencing soil erosion and sediment transport, researchers found that long-term soil erosion in the area was impacted by climate change and environmental factors. The study highlights the importance of historical climate data and modeling for obtaining estimates of soil loss and sustainable river basin management.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2021)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
Summary: This article presents observational and modeling evidence to produce reliable time-series of days with snow cover on the ground in Italy, based on instrumental measurements and historical documentary data. The adopted modeling approach incorporates various climate factors, and the model shows potential for applications in different geographical settings and climatic situations in Italy.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Engineering, Civil
Panos Panagos, Pasquale Borrelli, Francis Matthews, Leonidas Liakos, Nejc Bezak, Nazzareno Diodato, Cristiano Ballabio
Summary: Rainfall erosivity, a major driver of soil and nutrient losses, is projected to increase globally in the future. This study presents future erosivity projections based on simulated climate models, providing valuable information for soil erosion, conservation, and climate change research. The results suggest a potential increase in global soil erosion rates by 30-66% by 2070.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Francesco Fiorillo, Libera Esposito, Gerardo Ventafridda, Gianni Bellocchi
Summary: Annual mean spring discharge is important for water supply and essential for ecological systems and societies dependent on groundwater resources. The study shows that the inter-annual variability of ASD is significantly affected by climate fluctuations, and a substantial descending trend of ASD has been observed, possibly due to recent warming and depletion of regional water reservoirs. These results highlight the need to strengthen groundwater resources in the Mediterranean region.
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
Summary: Historical information is crucial in detecting the frequency and magnitude of hydrological disasters and determining whether they are due to natural or human-induced climate and environmental changes. This study presents a long-term flood reconstruction for the Eastern Liguria Area in northwestern Italy and identifies two trend breaks in the flood intensity, with an increasing intensification of floods after the second change-point. The intensification of flooding in the region appears to coincide with changes in land use and cover and an increase in hydrological hazards.
SCIENTIFIC REPORTS
(2023)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Gianni Bellocchi
Summary: In this study, homogeneous areal precipitation data in the complex terrain of the Calore River Basin in Southern Italy were reconstructed and analyzed from 1869 to 2020. The analysis revealed a significant decrease in mean annual precipitation and interannual variability, suggesting a sudden shift in the time-series. These findings have important implications for water resource management and modeling in the Calore River Basin.
Article
Environmental Sciences
Nazzareno Diodato, Fredrik Charpentier Ljungqvist, Gianni Bellocchi
ENVIRONMENTAL RESEARCH COMMUNICATIONS
(2020)
Article
Meteorology & Atmospheric Sciences
Nazzareno Diodato, Lelys Bravo de Guenni, Mariangel Garcia, Gianni Bellocchi
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)