Global warming
Research conducted in Turkey, supported by Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK), provides valuable insights into the impact of climate change on low flows in the country. The study, which employed stationary and non-stationary models, revealed that decreases in low flows are expected for most Turkish stations, except for
Global warming
A new study published by researchers at Universiti Malaysia Perlis examines the effects of socioeconomic, political, and environmental factors on life expectancy in ASEAN+3 countries between 1995 and 2021. The research highlighted the significant negative impacts of corruption and CO2 emissions on life expectancy, while labor income and equitable
Global warming
A new study published by researchers at Universiti Malaysia Perlis examines the effects of socioeconomic, political, and environmental factors on life expectancy in ASEAN+3 countries between 1995 and 2021. The research demonstrates that reduced life expectancy is the result of various factors, including income inequality, poverty, inadequate access to
Global warming
A new report from researchers at Wuhan University, published in Geophysical Research Letters, warns that rapid transitions between dry and wet phases are increasingly threatening global water resources and ecosystem sustainability. The study found that the frequency of these transitions, known as Dry-Wet Abrupt Alternation (DWAA) events, has increased more
Global warming
Research led by investigators at Shaanxi Normal University has shed light on the critical role of the Loess Plateau in China's grain and energy production. The study, funded by the National Natural Science Foundation of China and other institutions, aimed to understand the spatio-temporal variations and driving factors
Technical institutes
Droughts and climate change have become increasingly critical threats worldwide, especially in regions facing water scarcity and conflicts. A new study conducted by researchers at Yildiz Technical University in Istanbul, Turkey, has investigated the temporal and spatial characteristics and trends of droughts across Palestine between 1940 and 2025. The study
Machine learning
Researchers at the University of Girona, Spain have developed an innovative approach to enhance microbial water quality forecasting by combining accurate gradient-boosted decision trees (GBDT) predictions with well-calibrated uncertainty estimates. This study, funded by UdG, Spanish Government, and the Ministry of Science & Innovation, benchmarked state-of-the-art regression algorithms and uncertainty
Machine learning
Research findings on artificial intelligence, conducted by researchers at Lawrence Berkeley National Laboratory, highlight the importance of using ensemble strategies for hydrologic predictions. According to the study, machine learning (ML) models have made significant progress in predicting stream flows and other hydrologic quantities over the past decade. However, deterministic models
Machine learning
Researchers from Beijing Normal University have developed a new method to identify the source of cropland runoff in surface waters using machine learning and microbial fingerprints. The study, published in the journal Water Research, utilized 386 samples from various sources, including aquaculture wastewater, domestic sewage, and cropland runoff. The team
Global warming
Research from Thuyloi University in Hanoi, Vietnam, has detailed the effects of climate change on the Ban Chat reservoir, a critical water source in the region. The study, supported by the Vietnam Ministry of Science and Technology, aimed to assess the potential changes in streamflow to the reservoir under different
Global warming
Climate change and human activities pose significant threats to the ecological stability of natural rivers, according to a recent study published in the journal Water Resources. The researchers conducted an in-depth analysis of changes in basin hydrological regime and their driving mechanisms, using the cross-wavelet transform method to investigate the
Machine learning
A new review of artificial intelligence (AI) research has concluded that it has the potential to model groundwater systems across various scales, predict groundwater levels and quality, and conduct risk assessments. The study, conducted by researchers from Shanghai University, evaluated the role of AI in groundwater modeling, identifying its strengths
