Article
Water Resources
Hana Salimi, Esmail Asadi, Sabereh Darbandi
Summary: This study focused on analyzing meteorological drought using SPI and SPEI, as well as exploring hydrological drought with SSI. The research found that climate change has a significant impact on drought characteristics, with differences observed in drought characteristics across different climatic regions. Additionally, the study identified accurate relationships between drought duration and severity, with the highest accuracy observed in a 9-month period in the Navroud watershed basin.
APPLIED WATER SCIENCE
(2021)
Article
Meteorology & Atmospheric Sciences
Sudip Gautam, Alok Samantaray, Meghna Babbar-Sebens, Meenu Ramadas
Summary: Climate change is projected to cause more frequent and severe short-term droughts in Oregon, with an increase in drought events of up to 20% and longer durations of up to 8% by mid-century. Short-term hydrological and agricultural droughts are also expected to increase in frequency by 11% and 28%, respectively. This will likely have implications for water supply and irrigation in the Umatilla River Basin, stressing the timing and capacity of water resources in the future.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Water Resources
Yishan Li, Hui Lu, Kun Yang, Wei Wang, Qiuhong Tang, Sothea Khem, Fan Yang, Yugang Huang
Summary: This study investigated the impacts of climate change on future meteorological and hydrological droughts in the Mekong River Basin and its surrounding areas. The results suggest that droughts will generally reduce in the future over most of the study area, but will be more unevenly distributed with an eastward migration. Both meteorological and hydrological droughts will intensify in the near future, but will then reduce in intensity.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Green & Sustainable Science & Technology
Gabriella Balacco, Maria Rosaria Alfio, Maria Dolores Fidelibus
Summary: This article investigates the relationship between groundwater levels and precipitation variability in the Salento region of Southern Italy. The unregulated exploitation of groundwater in the area has led to a decline in its quality and quantity. The study analyzes different climate indexes to assess their ability to explain the behavior of groundwater in complex aquifers and to verify their reliable application. The results show significant correlations between the time series, indicating the potential of the SPI 18-months as an indicator for predicting groundwater response to precipitation variability in the Salento aquifer.
Article
Engineering, Civil
Ayseguel Kuzucu, Guelay Onusluel Gul
Summary: Drought is a regional phenomenon caused by unbalanced climate dynamics on a global scale, and it requires continuous analysis in both time and space. Drought indices are fundamental for analyzing drought, but their effectiveness is limited by the availability of input data. Traditional methods of analyzing drought indices rely on measurements from hydro-meteorological stations, but they fail to capture the spatiotemporal continuity required for accurate assessments. This study compares different approaches to drought analysis and provides mapped results for comparing estimated future drought characteristics with those of the reference period.
WATER RESOURCES MANAGEMENT
(2023)
Article
Engineering, Civil
Veysel Gumus
Summary: Drought indices are widely used for drought monitoring, and this study compares two methods for determining drought characteristics in different regions of Turkey, finding significant differences between the two methods after the 1990s.
JOURNAL OF HYDROLOGY
(2023)
Review
Environmental Sciences
Mxolisi B. B. Mukhawana, Thokozani Kanyerere, David Kahler
Summary: The devastating impacts of recent droughts have highlighted the need for improved drought monitoring in South Africa (SA). This study reviewed the performance and applicability of various drought indices in SA and recommended a combination of the SPI, SPEI, VCI, SSI, and SGI for integrated drought monitoring. The PDSI and SWSI were found to be impractical in SA due to complexity and data limitations. Further research on GRACE-based groundwater drought indices is needed.
Article
Geosciences, Multidisciplinary
Javier Tomasella, Ana Paula M. A. Cunha, Paloma Angelina Simoes, Marcelo Zeri
Summary: Drought indices are used to quantitatively assess drought conditions, and this study evaluated two indices in Brazil. The findings showed an increasing trend of drought in central Brazil. Climate change has a disruptive effect on the country's energy security.
Article
Engineering, Civil
Tian Wang, Xinjun Tu, Vijay P. Singh, Xiaohong Chen, Kairong Lin
Summary: This study, using the latest climate model data, found that in the 21st century, the frequency, duration, and spatial extent of global drought in most areas would increase, with evapotranspiration being a key influencing factor.
JOURNAL OF HYDROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
S. M. Vicente-Serrano, F. Dominguez-Castro, F. Reig, S. Begueria, M. Tomas-Burguera, B. Latorre, D. Pena-Angulo, I. Noguera, I. Rabanaque, Y. Luna, A. Morata, A. El Kenaway
Summary: Drought monitoring is essential for government plans to prevent or minimize drought impacts, requiring up-to-date information with high spatial and temporal resolution. A system has been developed in Spain to automatically track meteorological droughts, providing synthetic indices on a quasi-weekly basis with a spatial resolution of 1.1*1.1 km. Validation studies have shown strong spatial agreement between historical and monitoring datasets, making this real-time drought monitoring system a relevant and useful tool for quick and effective actions to prevent and mitigate the effects of drought.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Subhadarsini Das, Jew Das, Nanduri Venkata Umamahesh
Summary: The study reveals a warming and wetting climate over Maharashtra during the 21st century. Severity and duration of future meteorological droughts are likely to decrease in long-term drought condition and increase in short-term condition. Temperature plays a vital role in modulating the meteorological droughts.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Agronomy
M. H. Afshar, B. Bulut, E. Duzenli, M. Amjad, M. T. Yilmaz
Summary: In this study, the consistency between meteorological and soil moisture drought indices was analyzed. The most consistent meteorological drought index with soil moisture drought index was identified as the best representative. The results showed that different meteorological drought indices have varying levels of correlation with soil moisture drought index in different climate and land use conditions. The K-Nearest Neighbor method was found to be the most effective in identifying the most correlated meteorological drought index with soil moisture drought index.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Engineering, Civil
Johannes Laimighofer, Gregor Laaha
Summary: This paper quantifies the uncertainty of standardized drought indices (SPI and SPEI) based on an Austrian dataset and finds that the computational variations of these indices lead to highly variable results. The choice of distribution and observational window are the main sources of uncertainty, while parameter estimation method and GOF-tests have almost no effect. Overall, the uncertainty of standardized drought indices is substantial.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Kashish Sadhwani, T. I. Eldho
Summary: This study examines the potential impacts of climate change on droughts in the Western Ghats region of South India. It finds that drought propagation is faster in wet tropical regions, and predicts an increase in drought frequency and severity in the future. The study emphasizes the influence of regional conditions on drought propagation and highlights the potential of Pearson correlation analysis in estimating drought propagation periods.
WATER RESOURCES MANAGEMENT
(2023)
Article
Agronomy
Hai Nguyen, Allen Thompson, Christine Costello
Summary: The trend of drought-induced yield losses in U.S. agriculture has been increasing despite financial investments and technological development. Evaluating drought impacts on crop production is crucial as climate change worsens drought conditions. This study assessed the effectiveness of modified Standardized Precipitation Indices (SPIs) and Standardized Precipitation Evapotranspiration Index (SPEI) in evaluating drought impacts on maize and soybean yields in the southeastern U.S. Results showed that the modified SPI can be as effective as SPEI in assessing drought impacts. Drought events during critical growth stages significantly affected yield variability, and irrigation reduced the sensitivity to drought.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Geochemistry & Geophysics
Ebrahim Hamidi, Brad G. Peter, David F. Munoz, Hamed Moftakhari, Hamid Moradkhani
Summary: This study introduces a new multisource remote sensing approach that combines multispectral optical imagery and synthetic aperture radar (SAR) data to map flood inundation extents. Using Google Earth Engine (GEE), this process enables near real-time data acquisition and large-scale flood monitoring. The results showed high agreement between SAR and optical imagery (77%-80%), with SAR providing under-cloud detection capabilities. This research contributes to providing rapid and accurate information for decision-makers and emergency responders during time-sensitive flood events.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Civil
Ehsan Foroumandi, Vahid Nourani, Jinhui Jeanne Huang, Hamid Moradkhani
Summary: This study proposes a new method using deep learning to downscale GRACE-derived TWSA to a higher spatial resolution over Iran. The performance of the method is evaluated using cluster analysis and robust validity measures. The results show that the deep learning method outperforms other models in downscaling TWSA and the agreement between GRACE-derived GWS and ground-based measurements is satisfactory. Furthermore, the downscaled TWSA is used to generate drought frequency and change detection maps, providing insights into the water resource scarcity in Iran. The study emphasizes the need for integrated sustainable water resources management to prevent future water crises.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Mohammadsepehr Karimiziarani, Wanyun Shao, Majid Mirzaei, Hamid Moradkhani
Summary: There has been extensive research on the use of social media data during disasters, especially on platforms like Twitter. This study analyzed 35 million tweets during hurricanes Harvey and Dorian using Natural Language Processing techniques. The findings reveal valuable insights into social response to hurricanes and provide assistance to crisis management agencies and disaster responders.
CLIMATE RISK MANAGEMENT
(2023)
Article
Engineering, Multidisciplinary
Enes Ergun, Mehmet Cuneyd Demirel
Summary: Complete streamflow data is essential for water resources engineers. This study assesses the effectiveness of using a distributed hydrologic model with remotely sensed data to fill data gaps, and emphasizes the importance of data quality and length in achieving accurate results.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2023)
Review
Geochemistry & Geophysics
Keighobad Jafarzadegan, Hamid Moradkhani, Florian Pappenberger, Hamed Moftakhari, Paul Bates, Peyman Abbaszadeh, Reza Marsooli, Celso Ferreira, Hannah L. Cloke, Fred Ogden, Qingyun Duan
Summary: The scientific community has made significant efforts in simulating flooding conditions, but the current models still lack accuracy and reliability. It is suggested to adopt an approach that considers various factors and enhance understanding of flood generating mechanisms. Developing innovative earth system modeling frameworks and conducting rigorous studies can provide opportunities to improve flood prediction and mapping.
REVIEWS OF GEOPHYSICS
(2023)
Article
Green & Sustainable Science & Technology
Xiaoliang Han, Proloy Deb, Nicholas R. Magliocca, Denis Nadolnyak, Hamed Moftakhari, Ruchie Pathak, Hamid Moradkhani
Summary: The agricultural water market is an effective tool for redistributing water and reducing economic losses caused by droughts. This study evaluates the value of irrigation water and quantifies potential economic efficiency gains through water markets under future hydroclimate conditions. Results show that agricultural water markets can mitigate the adverse impacts of climate change on agricultural output in economic terms. The scenario approach presented in this study provides estimates of the benefits of water trading, particularly during droughts and changing precipitation conditions, to reduce economic losses in rainfed agriculture at a global scale.
SUSTAINABILITY SCIENCE
(2023)
Article
Agronomy
Utku Demirci, Mehmet Cueneyd Demirel
Summary: This study uses the mesoscale Hydrologic Model (mHM) to simulate the hydrological processes in The Main Basin (Germany) from 2002 to 2014. The results show that the model performs best when both LAI and aspect are used to simulate evapotranspiration.
Article
Environmental Sciences
Nazife Oruc Baci, Keighobad Jafarzadegan, Hamid Moradkhani
Summary: Floods have a severe impact on people's lives and properties, and flood inundation models are widely used to simulate flood waves. It has been found that including lateral flows as additional boundary conditions can significantly improve the accuracy of simulated floods. This study aims to investigate the impacts of including lateral flows on the calibrated parameters of flood inundation models and provide a comprehensive analysis of the behavior of simulated floods.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Boen Zhang, Shuo Wang, Jakob Zscheischler, Hamid Moradkhani
Summary: The sudden shift from drought to downpour has gained attention in recent years, particularly in low-income regions. From 1980 to 2010, the frequency of drought-to-downpour events increased by 24%-48% in the poorest 20% of the global population. Although these events do not appear to be occurring more often globally, they are more frequent in regions with higher poverty rates, especially in African countries. Future climate projections suggest that this inequality in exposure will persist. Therefore, greater support for climate adaptation is necessary in low-income countries to reduce poverty and inequality.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Editorial Material
Environmental Sciences
Ehsan Foroumandi, Hamid Moradkhani, Xavier Sanchez-Vila, Kamini Singha, Andrea Castelletti, Georgia Destouni
Summary: The emergence of large language models (LLMs), like ChatGPT, has attracted significant attention in academic and scientific circles. While ChatGPT holds promise for research and teaching purposes, there are also limitations and potential risks associated with its use. The article suggests that the academic community should adapt regulations and policies to harness the benefits of LLMs while mitigating their pitfalls.
WATER RESOURCES RESEARCH
(2023)
Article
Multidisciplinary Sciences
Farnaz Yarveysi, Atieh Alipour, Hamed Moftakhari, Keighobad Jafarzadegan, Hamid Moradkhani
Summary: The increasing global occurrence and severity of natural hazards necessitate comprehensive vulnerability assessments at regional to national scales. However, current assessments are limited by coarse resolution and significant uncertainty. In this study, a block-level Socio-Economic-Infrastructure Vulnerability (SEIV) index is developed using a machine-learning algorithm to improve the spatial resolution, comprehensiveness, and objectivity of vulnerability assessments. This index provides information at a fine resolution of approximately 11 million blocks in the United States, revealing significant inequality and variations in vulnerability even among neighboring blocks. It highlights important information for risk-informed decision making.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Georgios Boumis, Hamed. R. R. Moftakhari, Hamid Moradkhani
Summary: The design of coastal defense structures needs to consider the projected sea-level rise. Global annual maxima sea levels have been increasing primarily due to a rise in mean sea level. Non-stationary extreme value theory is applied to model sea levels with mean sea level as a covariate, showing that many locations will experience their present-day 100-year return level as a more frequent event in the future. By the end of this century, almost all locations examined will encounter their current 100-year return level on an annual basis.
Article
Environmental Sciences
Meraj Sohrabi, Hamed Moftakhari, Hamid Moradkhani
Summary: The incidence of climate-related disasters is increasing, requiring intensified anticipatory action. This study proposes a dependence-informed sampling scheme to reduce the complexity of the problem and select scenarios with the highest cumulative likelihood of potential impact. Analysis of historical tropical cyclone records near the coast of Texas demonstrates the usefulness of this approach in improving hazard risk assessment efficiency and providing reliable information at a lower cost.
Article
Geosciences, Multidisciplinary
Mohammadsepehr Karimiziarani, Hamid Moradkhani
Summary: In this study, we investigated how people use social media, specifically Twitter, to respond to the large and destructive hurricane Ian that occurred in late September 2022. By analyzing over twenty million tweets, we discovered the main topics of discussion and the relationship between them, as well as classified tweets into humanitarian topics and categories. Through the use of various artificial intelligence algorithms for natural language processing, including sentiment analysis, topic modeling, and text classification, we were able to extract valuable information from the massive Twitter data. The findings of this study provide insights on how social media can be utilized to disseminate information and aid disaster management during hurricane events.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Geosciences, Multidisciplinary
Evan Cass, Wanyun Shao, Feng Hao, Hamid Moradkhani, Elissa Yeates
Summary: Coastal regions like the U.S. Atlantic and Gulf Coasts are highly vulnerable to extreme coastal hazards and an understanding of the risks involved is crucial for these communities. A study conducted in Mobile, AL, Savannah, GA, and Houston TX identifies areas where communication tools can be improved to effectively convey short and long-term risks associated with hurricane hazards. The findings show relationships between risk perceptions and existing factors in each location, providing valuable insights for enhancing public response to hurricane hazards.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
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)
