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
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
Geosciences, Multidisciplinary
Emre Topcu
Summary: This study analyzed the drought patterns in Turkey from 1925 to 2016 based on monthly precipitation data. The findings indicate a significant increase in drought severity and duration, particularly in the inland regions of Turkey. Different periods exhibited varying levels of drought severity, duration, and frequency. The study also calculated the return periods for different drought categories and identified the most suitable function for drought analysis in Turkey.
Article
Meteorology & Atmospheric Sciences
Zunya Wang, Qiang Zhang, Shao Sun, Pengling Wang
Summary: Based on the standardized precipitation evapotranspiration index (SPEI), the number of drought days in China has significantly increased after the mid-1990s, mainly in the zonal belt from southern Xinjiang to southern Northeast China and North China. There is also a continuous increase in drought days in the meridional belt from eastern Northwest China to eastern Southwest China. The increase in drought days is closely related to the warming in the zonal belt and both temperature increase and precipitation decrease in the meridional belt.
JOURNAL OF CLIMATE
(2022)
Article
Meteorology & Atmospheric Sciences
James H. Stagge, Kyungmin Sung
Summary: This study introduces and evaluates a novel nonstationary standardized precipitation index (SPI) model based on Bayesian splines, which improves parameter estimates and explicitly incorporates nonstationarity. The proposed model outperforms existing models in reducing parameter uncertainty and noise, modeling zero and positive precipitation likelihood, and capturing nonlinear trends and seasonal shifts.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2022)
Article
Engineering, Civil
Daniele Secci, Maria Giovanna Tanda, Marco D'Oria, Valeria Todaro, Camilla Fagandini
Summary: This study investigates the impacts of climate change on groundwater droughts using regional projections and standardized indices. Historical data and regression analysis are used to model the relationships between groundwater indices and precipitation and evapotranspiration indices. The results suggest that there will be negative effects on groundwater levels in almost all wells in the future, with the largest decline expected in the medium-term for one scenario and a significant decrease in groundwater levels over the long-term for another scenario.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
L. Vergni, A. Vinci, F. Todisco
Summary: This study tested and compared several standardized meteorological indices in identifying agricultural drought impacts in central Italy, with SDDI and SPEI showing slightly better performance and potential in assessing drought impacts.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Han Zhou, Wen Zhou, Yuanbo Liu, Jiejun Huang, Yanbin Yuan, Yongwei Liu
Summary: This study investigates the climatological spatial scales (CSSs) of meteorological droughts in China and their linkage to climate variability. The study uses monthly gridded precipitation data from the Global Precipitation Climatology Centre for the period 1961-2010 with a spatial resolution of 25 km x 25 km. The standardized precipitation index at different timescales is used to characterize meteorological droughts, and a method considering spatial correlation and anisotropy is used to calculate the CSSs. The relationships between the CSSs and main monsoons and climate teleconnections in five selected regions are quantified. The findings provide insights into the spatiotemporal relationships of droughts and can be valuable for drought risk management.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Jiwei Sun, Shuoben Bi, Bashar Bashir, Zhangxi Ge, Kexin Wu, Abdullah Alsalman, Brian Odhiambo Ayugi, Karam Alsafadi
Summary: Against the backdrop of global climate change, this study examines the dynamics of drought characteristics in China from 1951 to 2020. Precipitation data from 700 meteorological stations were analyzed using SPI-12 and SPEI-12 to detect drought characteristics. The findings reveal that drought-prone areas in China are expanding, with the most severe drought event occurring in 2010-2011. The frequency of drought occurrence gradually decreases from south to north, but areas with less frequent droughts experience longer and more severe drought durations.
Article
Geosciences, Multidisciplinary
Anwar Hussain, Khan Zaib Jadoon, Khalil Ur Rahman, Songhao Shang, Muhammad Shahid, Nuaman Ejaz, Himayatullah Khan
Summary: This study evaluates the impact of drought on Pakistan's agriculture sector at national and provincial scales. The results show that Punjab, Balochistan, and Sindh provinces are most vulnerable to drought, and the decrease in drought severity has a positive impact on maize, sugarcane, tobacco, and wheat yields.
Article
Meteorology & Atmospheric Sciences
Mehmet Ali Hinis, Mehmet Selim Geyikli
Summary: The doubt about the calculation algorithm of SPI (Standardized Precipitation Index), a widely used index for drought evaluation and monitoring, persists because the calculation process relies on standardization or normalization with a default probability distribution. The choice of the probability distribution model directly impacts the success of this index. This study examines the effect of three parameter estimation methods on the calculation process and compares the SPI results based on the default Gamma distribution with the distribution that best represents the 3-month and 12-month consecutive summed rainfall data among 15 candidate distributions. The results show that the Weibull and Pearson III distributions provide the best fit for the 3-month data, while the Weibull and Logistic distributions are the best fit for the 12-month data. The default Gamma distribution significantly overestimates extreme drought categories compared to the best-fit distribution model. L-moments and maximum likelihood approaches are the most dominant parameter estimation methods for the 3-month and 12-month series, respectively.
ADVANCES IN METEOROLOGY
(2023)
Article
Environmental Sciences
Jean Marie Ndayiragije, Fan Li
Summary: Drought is a frequent and severe problem in Burundi, especially in the northern and eastern parts. The most prolonged and severe drought occurred during the 1990-2010 decades, with extremely dry years in 1993, 1994, 1995, 1999, 2000, 2001, 2004, 2005, 2006, 2009, and 2016. Proactive drought mitigation measures, climate change mitigation, and water resources management policies are recommended to reduce the impact of drought on both the population and the natural environment.
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
Geosciences, Multidisciplinary
Rhoda A. Odongo, Hans De Moel, Anne F. Van Loon
Summary: This study characterizes droughts and their propagation in the Horn of Africa region, focusing on meteorological, soil moisture, and hydrological droughts. The results show that the characteristics and propagation of droughts vary depending on factors such as soil properties, vegetation types, and geology. Different drought metrics are important for forecasting and management efforts in different regions.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Biodiversity Conservation
Hang Yu, Long Wang, Jianlong Zhang, Yuanfang Chen
Summary: Climate change has increased the risk of drought globally. This study developed a multi-scale global drought aridity index (GDAI) based on the principle of standardized precipitation evapotranspiration index (SPEI). The GDAI showed strong correlation coefficients with aridity index (AI) and SPEI, indicating its effectiveness in revealing global aridity and capturing temporal drought change characteristics. Additionally, the GDAI outperformed SPEI in accurately evaluating drought at a 3 month time scale.
ECOLOGICAL INDICATORS
(2023)