Article
Environmental Sciences
Omolola M. Adisa, Muthoni Masinde, Joel O. Botai
Summary: The study examines the (dis)similarity between Standardized Precipitation Index (SPI) and Effective Drought Index (EDI) in South Africa. The results show a positive correlation in Pearson correlation coefficient dissimilarity and periodogram of dissimilarity for both Drought Duration (DD) and Drought Severity (DS). SPI-1/EDI pair exhibits the highest similarity for DS, while SPI-6/EDI pair shows the highest similarity for DD. The study suggests that these two drought indices values are replaceable in certain rainfall districts of South Africa, contributing towards selecting appropriate drought indices.
Article
Multidisciplinary Sciences
Changhong Liu, Cuiping Yang, Qi Yang, Jiao Wang
Summary: Drought in Sichuan Province shows differences in characteristics between different physiognomy types, with increasing intensity in the western region mainly concentrated in the Sichuan basin. Altitude is not the main factor causing spatial unevenness of precipitation in Sichuan Province, as altitude, temperature, longitude, and latitude jointly determine precipitation distribution.
SCIENTIFIC REPORTS
(2021)
Article
Water Resources
Gokhan Yildirim, Ataur Rahman, Vijay P. Singh
Summary: The study reveals that the southern and coastal regions of Southeast Australia are most prone to drought, with a significant decrease in annual streamflow and an increasing trend in drought occurrences. EDI performs better than SPI at short timescales, and drought propagation time can be estimated using the 'theory of run', although it may not be directly applicable to other regions.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Engineering, Civil
Muhammad Abrar Faiz, Yongqiang Zhang, Xuanze Zhang, Ning Ma, Santosh K. Aryal, Trinh Thi Viet Ha, Faisal Baig, Farah Naz
Summary: The new composite drought index (CDI), integrating multiple indicators, effectively monitors drought in 2417 grid cells in China, demonstrating better performance in stable soil moisture detection and drought monitoring compared to PDSI and EIDI.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Ahmed Elbeltagi, Chaitanya B. B. Pande, Manish Kumar, Abebe Debele Tolche, Sudhir Kumar Singh, Akshay Kumar, Dinesh Kumar Vishwakarma
Summary: This study aims to predict meteorological drought events in the central India of Maharashtra state using machine learning algorithms. Random forest, random tree, and Gaussian process regression models were tested, and the results showed that the random forest model performed the best in forecasting drought events.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Ashenafi Yimam Kassaye, Guangcheng Shao, Xiaojun Wang, Shiqing Wu
Summary: The study analyzed the changes in drought severity in Ethiopia, finding multiple severe drought episodes since 1953, with concentrations in the central, north, and south regions. SPI and SPEI indices showed stronger correlation at different time scales, with the highest interpolated drought frequency.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Green & Sustainable Science & Technology
Ismallianto Isia, Tony Hadibarata, Muhammad Noor Hazwan Jusoh, Rajib Kumar Bhattacharjya, Noor Fifinatasha Shahedan, Aissa Bouaissi, Norma Latif Fitriyani, Muhammad Syafrudin
Summary: Drought analysis using SPI and SPEI is crucial for water resource management in Sarawak, Malaysia. Both rainfall and temperature are important indicators for drought, and the SPI and SPEI can effectively detect temporal variations of drought with different time scales. The SPEI, considering both precipitation and evapotranspiration data, can identify more severe and longer-lasting droughts compared to the SPI. Temperature plays a decisive role in drought classification, and the SPI is recommended only when temperature data is unavailable.
Article
Engineering, Civil
K. L. Chong, Y. F. Huang, C. H. Koo, Ali Najah Ahmed, Ahmed El-Shafie
Summary: Statistical drought characterization is crucial for drought studies, and efficient drought management can enhance preparedness and risk management. This study analyzed meteorological drought trends and periodicities in Sabah and Sarawak, Malaysia using Standardized Precipitation Indices, identifying declining tendencies and dominant periodicities. Wavelet coherence analysis revealed intermittent coherence between SPI and climatic indices.
JOURNAL OF HYDROLOGY
(2022)
Editorial Material
Water Resources
Khouloud Gader, Ahlem Gara, Marnik Vanclooster, Slaheddine Khlifi, Mohamed Slimani
Summary: This study focuses on the changes in rainfall and drought patterns in the Medjerda catchment in Tunisia and analyzes the underlying causes. Suggestions for improving the drought assessment methodology are proposed, and the discussion mainly revolves around the use of the Standardized Precipitation Index (SPI) and drought classification based on SPI values.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2022)
Article
Geosciences, Multidisciplinary
Tugrul Varol, Ayhan Atesoglu, Halil Baris Ozel, Mehmet Cetin
Summary: Drought, a significant threat to social life, is examined and analyzed by its types, and it is crucial for decision-makers to have advanced methods for monitoring and assessing drought. Multivariate drought indices were developed to overcome the limitations of current methods and accurately determine the level of drought. In a specific region with different characteristics, MSDI was modeled based on SPEI and SRI data, showing acceptable performance in estimating drought across multiple perspectives and time scales.
Article
Meteorology & Atmospheric Sciences
Miguel Angel Torres-Vazquez, Amar Halifa-Marin, Juan Pedro Montavez, Marco Turco
Summary: Droughts are costly natural disasters with significant socio-economic and environmental impacts. Accurate seasonal drought forecasts can aid in making informed decisions. A prototype seasonal forecasting system was assessed for a Mediterranean region, and it was found that it is possible to generate skilful and reliable drought predictions months in advance. These predictions can serve as the basis for a cost-effective and efficient early warning system for droughts.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Engineering, Civil
Siyao Zhang, Jianzhu Li, Ting Zhang, Ping Feng, Hao Shi
Summary: In this study, dewfall of 523 weather stations in China was calculated and an improved drought index SPI-cor was proposed. The temporal and spatial distributions characteristics of dewfall were discussed, and the spatial applicability of SPI and SPI-cor was determined. The results showed that dewfall has a periodic formation and a distribution pattern with high dewfall in the northeast and northwest but low dewfall in the center and south of China. The proportion of dewfall in precipitation increases from south to north, except for northwestern China, and the influence of dewfall on drought assessment varies across different regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Aamina Batool, Zulfiqar Ali, Muhammad Mohsin, Muhammad Shakeel
Summary: This study develops a new index called SCICE for joint monitoring and probabilistic quantification of droughts and heat waves at a regional level. The results show that there is a higher probability of joint occurrence of dry and hot events. The comparative assessment supports the validity of using SCICE as an effective method for regional drought analysis.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Muhammad Waseem, Ali Hasan Jaffry, Muhammad Azam, Ijaz Ahmad, Adnan Abbas, Jae-Eun Lee
Summary: This study investigates the impacts of drought on wheat production in the Punjab province of Pakistan, which is the agricultural hub of the country. The results show that drought episodes during the wheat cropping season are recurrent, and drought significantly affects wheat yields, especially in zones 1 and 2. This study provides valuable evidence for authorities in disaster management and agricultural policy-making.
Article
Environmental Sciences
Zahra Noorisameleh, William A. Gough, M. Monirul Qader Mirza
Summary: This study explores the persistence and spatial-temporal variability of drought severity in the diverse dryland of Iran using data from 44 synoptic stations from 1989 to 2018. The results confirm the persistence of droughts in Iran with high regional variability. An inverse relationship is found between the long-term coefficient of variation of monthly precipitation and the persistence percentage in different arid regions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Ki-Seon Choi, Baek-Jo Kim, Renhe Zhang, Jae-Cheol Nam, Ki-Jun Park, Jeoung-Yun Kim, Do-Woo Kim
Article
Meteorology & Atmospheric Sciences
Jae-Won Choi, In-Gyum Kim, Jeoung-Yun Kim, Baek-Jo Kim, Cheol-Hong Park, Do-Woo Kim
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2016)
Article
Geosciences, Multidisciplinary
Do-Woo Kim, Ravinesh C. Deo, Jea-Hak Chung, Jong-Seol Lee
Article
Meteorology & Atmospheric Sciences
Ji-Sun Lee, Hi-Ryong Byun, Do-Woo Kim
THEORETICAL AND APPLIED CLIMATOLOGY
(2016)
Article
Engineering, Civil
Ravinesh C. Deo, Hi-Ryong Byun, Jan F. Adamowski, Do-Woo Kim
WATER RESOURCES MANAGEMENT
(2015)
Article
Meteorology & Atmospheric Sciences
Ki-Seon Choi, Hae-Dong Kim, Sung-Dae Kang, Do-Woo Kim
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2017)
Article
Geosciences, Multidisciplinary
Do-Woo Kim, Ravinesh C. Deo, Jong-Seol Lee, Jong-Min Yeom
Article
Meteorology & Atmospheric Sciences
Ki-Seon Choi, Bin Wang, Do-Woo Kim
Article
Meteorology & Atmospheric Sciences
Ki-Seon Choi, Su-Bin Oh, Do-Woo Kim, Hi-Ryong Byun
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2014)
Article
Meteorology & Atmospheric Sciences
Bo-Ra Lee, Hi-Ryong Byun, Do-Woo Kim
THEORETICAL AND APPLIED CLIMATOLOGY
(2013)
Article
Meteorology & Atmospheric Sciences
Su-Bin Oh, Hi-Ryong Byun, Do-Woo Kim
THEORETICAL AND APPLIED CLIMATOLOGY
(2014)
Article
Meteorology & Atmospheric Sciences
Do-Woo Kim, Ravinesh C. Deo, Sang-Jin Park, Jong-Seol Lee, Woo-Seop Lee
THEORETICAL AND APPLIED CLIMATOLOGY
(2019)
Article
Geosciences, Multidisciplinary
Sang-Jin Park, Do-Woo Kim, Ravinesh C. Deo, Jong-Seol Lee
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2018)
Article
Meteorology & Atmospheric Sciences
Ravinesh C. Deo, Jan F. Adamowski, Khaleda Begum, Sancho Salcedo-Sanz, Do-Woo Kim, Kavina S. Dayal, Hi-Ryong Byun
THEORETICAL AND APPLIED CLIMATOLOGY
(2019)
Article
Biophysics
Youn-Hee Lim, Kyung-Shin Lee, Hyun-Joo Bae, Dowoo Kim, Hyosoon Yoo, Sungwoo Park, Yun-Chul Hong
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2019)
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)