Impacts of climate change and human activities on global groundwater storage from 2003 to 2022

Experimental and environmental impact of early-stage lithium recovery in lithium-ion battery recycling.

Smallholder farmers' perceptions of the impact of climate change on the mental and physical health of their livestock in semi-arid Ghana.

Long-term impact of climate change on residential cooling loads in Beijing: A multi-factor analysis of occupant behaviors and envelopes

An Econometric Estimation of the Impacts of Climate Change on Wheat Self-Sufficiency Rates in Egypt

Influence of Climate on Atopic Dermatitis.

Effects of climate change on the metabolic ecology of small yellow croaker (Larimichthys polyactis) based on dynamic energy budget (DEB) model.

Assessing climate change impact on glacier runoff in the Upper Yukon Watershed: A Comparative study of CMIP5 and CMIP6 projections

Enhancing SWAT Model Performance for Climate Change Impact Studies in Watersheds with Missing Flow Data

Evaluation of climate change impact on future flood in the Bagmati river basin, Nepal using CMIP6 climate projections and HEC-RAS modeling

Impact of Climate Change on Growth Performance, Agro-Farming, and Economic Viability of Cherry Cultivation

Tidal dynamics is crucial in shaping marine ecosystems and the design of sustainable coastal infrastructure. With the increasing strategic importance of Macao as an innovation node in the Pearl River Estuary and newly acquired maritime jurisdiction rights, a more detailed study of the coastal flows in Macao's water is required. This study utilises extended harmonic analysis and a validated Finite Volume Community Ocean Model (FVCOM) to study two aspects of tidal dynamics in Macao respectively: (i) the impact of climate change and reclamation on the tidal constituents of Macao harbour; (ii) an elucdiation of the 3D tidal circulation in the shallow coastal waters. The results show that 40 tidal constituents are sufficient for accurate tidal prediction (with RMS error of 0.133 m). The primary harmonic constants are not affected by land reclamation and climate change over the past two decades; while the mean sea level has been increasing at an average of 3.4 mm per year. The tidal regime is predominantly mixed and mainly semi-diurnal, with a tidal range of approximately 2.4 m and 0.8 m during spring and neap tides respectively. During ebb the tidal flow splits into three main stream currents through the Macao Waterway, Shizimen Waterway, and the western beach of Lingdingyang, while flood tides follow similar routes. Maximum velocities in the main navigation channels in Macao, Shizimen, and eastern waterways are 0.32, 0.50 and 0.75 m/s, with coastal currents of around 0.35–0.50 m/s in the southern coastal waters near Coloane. Extensive tidal flats in Shizimen reveal maximum depths of around 0.8 m and surface velocities of around 0.31 m/s. The findings provide a basis for studying ecosystem dynamics in the coastal waters of ecological importance.

Background: In Uganda, climate change is amongst the most substantive challenges inflicting on the wellbeing of humans in many parts of the country. In the central and south western parts of Uganda where the majority of the population rely on subsistence agriculture, climate change has adversative effects. In rural areas, low resilient capacity to shocks exacerbates the impacts of climate change such as food production catastrophe, hence resulting into food insecurity. It is upon the above experiences that this study assessed emphasis on mitigation strategies and practices of climate change among farmers Nakasongola district by using qualitative research. This research was guided by one research question, namely: what are the mitigation strategies practiced by local people to minimize the impact of climate change? Material and method: The study employed a case study design where several instrumental bound cases are examined. We utilized multiple data collection methods to explore perceptions of climate change. Qualitative data for this study was generated from 15 selected households through focus group discussions, key informant interviews, and in-depth interviews. Data were collected using semi-structured interviews from fifteen purposefully selected local farmers from selected sub counties. Results: The findings of this study revealed that, farmers were found to practice mitigation strategies such as afforestation, agroforestry and agricultural intensification as ways to overcome climate change. Conclusion: Local farmers have intensively initiated agricultural policies that strive to protect the environment and such mitigation strategies are meant to enhance the capability of smallholder’s farmers to deal with the persistent effects of climate change

Impact of climate change on water quality of Zarqa Stream Basin: Evidence from Jordan

Rajeb Basin is one of the most important basins in Ajloun Governorate in Jordan. This study aims to assess the effect of climate change on the Rajeb basin using the software of the climate indices (Rclimdex) model for three rainfall stations and three meteorological stations. The future impact of climate change is determined using the statistical downscaling model (SDSM) and the second-generation model for the Earth System (CanESM2) for different emission scenarios. Additionally, the study aims to predict the potential future impact of climate change on the flow of the Rajeb basin at the end of the current century using the Soil and Water Assessment Tool (SWAT) model. Regarding temperature, the results show a significant trend for 9 out of 16 extreme indices for all stations. The hot days increased by 12 days between 1982-2020, and the hot nights increased by 10 nights for the same period. The cool days decreased by 15 days between 1982-2020, and the cool nights decreased by 17 nights for the same period. The summer days (Tmax>25℃) increased by 26 days, and the tropical nights (Tmin>20℃) increased by 61 nights for the same period. It is predicted that the temperature will increase 2100 by 0.2℃, 0.57℃, and 1.4℃ based on RCP 2.6, 4.5, and 8.5 scenarios, respectively. The precipitation is predicted to decrease 2100 by 10.8%, 23%, and 43%, for the three scenarios, respectively. Regarding the expected streamflow, SWAT forecast results indicate a decrease in streamflow by 8.1%, 38%, and 69.2% between 2018- 2100 based on RCP 2.6, 4.5, and 8.5, respectively. According to the study, local organizations and decision-makers need to take into consideration the effects of climate change on the Rajeb basin. Pumping operations from the basin must be monitored to ensure the sustainability of water resources.

Moldova, with its rich viticultural heritage and diverse terroir, faces increasing challenges from climate change. This study explores the impact of climate change on Moldovan viticulture and examines traditional practices and successful adaptations. Rising temperatures disrupt traditional grape ripening, affecting wine quality. Understanding the relationship between terroir and climate is crucial for sustainable viticulture. Moldovan winemakers are adapting by exploring indigenous grape varieties, naturally suited to local conditions, enhancing resilience. These varieties not only preserve cultural heritage but also offer unique flavor profiles, contributing to Moldova's distinctive wines. Biodiversity is key, with practices like cover cropping and introducing beneficial insects creating "ecosystem services" that improve soil health, reduce chemical reliance, and contribute to climate change mitigation through carbon sequestration. Integrating traditional knowledge with modern techniques is vital for resilience. Promoting biodiversity ensures the long-term sustainability of Moldovan viticulture, linking economic viability with environmental concerns. Utilizing indigenous varieties and supporting biodiversity strengthens Moldova's wine industry and protects its cultural heritage, offering a valuable resource for adapting to changing climatic conditions.

The main objective of this study is to model the effects of climatic and hydrological variability on hydroelectric energy production and to provide a scientific basis for future water-energy management scenarios. At the same time, to test the applicability of machine learning approaches in energy estimation models and to provide a guiding analysis for decision makers at the regional scale. For this purpose, hydroelectric energy production estimation was performed on daily hydro-meteorological observation data (precipitation, temperature, evaporation) for the years 1999–2020 using machine learning model approach. Random Forest, Decision Tree, Gradient Boosting and Support Vector Regression algorithms were used for estimation in the modeling process; each model was subjected to hyperparameter optimization with the GridSearchCV method. Model success was compared with error metrics such as R², MAE and MSE and the highest success algorithm was determined. Using the best approach determined, future energy production estimates were carried out with the projection data obtained from HadGEM2-ES, GFDL-ESM2M and MPI-ESM-MR climate models for the period 2023–2098 (under RCP 4.5 and RCP 8.5 scenarios). The study will make a significant contribution to literature in terms of evaluating the effects of climate change on hydroelectric energy potential.

Impacts of Climate Change on the Spatial Variability of Soil Physicochemical Properties under Varied Land Use in El-Hammam, Northern Egypt

This article examines the impact of climate change on the efficiency of agricultural crop cultivation in Rivne Region, which serves as a representative area for studying adaptation processes under changing climatic conditions in northwestern Ukraine. It has been established that rising average annual temperatures, decreasing uniform precipitation, and more frequent droughts significantly affect the yields of major crops and cause their spatial differentiation. The study includes a spatial analysis of agricultural production, an assessment of climate-related risks across the administrative districts of the region, and an identification of regional differences in the effects of climatic factors.An economic evaluation of the efficiency of growing various crops under the new climatic conditions was conducted. The results indicate the need to adjust crop structure in favor of more adaptive and profitable crops such as potatoes, maize, open-field vegetables, and fruit and berry crops. An optimized structure of cultivated areas, adapted to current agro-climatic conditions of the region, is proposed.The study employs an interdisciplinary approach that integrates agro-climatic analysis, economic assessment, and spatial modeling. The findings can be used to develop strategies for adapting the agricultural sector to climate change, ensuring food security, and enhancing the economic resilience of agricultural production in Rivne Region and similar regions of Ukraine.

The study aimed to analyze the impact of climate change on water requirements and productivity of improved Arabic wheat in the Sana'a Basin, by conducting field experiments for two agricultural seasons (2023-2024 AD) on the farm of the Faculty of Agriculture, Sana'a University. It included three irrigation treatments: (full irrigation (I1), 75% deficit irrigation (I2), and 50% deficit irrigation (I3) of the full irrigation) using a randomized complete block design. The Aqua Crop model was used for modeling, calibrated with data from the first agricultural season of 2023 and validated with data from the second agricultural season of 2024. The model was validated using three global climate models: CNRM-CM5, GFDL-ESM2M, and EARTH-EC, and two gas emission scenarios: Rcp4.5 and Rcp8.5, for each model, and at an increased and constant CO2 concentration (350 ppm). The study revealed that irrigation treatment (I2) achieved the highest water productivity (WPET) values during the two seasons, ranging from 0.72 to 0.69 tons/m³, respectively. Its water permeability (WPI) ranged from 0.74 to 0.72 tons/m³, respectively. The correlation coefficient (R²) showed high agreement between the calculated and predicted values for grain productivity and biomass for the two seasons, ranging from 99.93 to 100. and (99, 95%) (%), respectively. The grain productivity values for the two seasons were higher in irrigation treatment (I1), ranging between (2.27, 2.52) (tons/ha), respectively, compared to irrigation treatments (I2) and (I3), which ranged between (2.15, 1.95), (1.0, 1.02) (tons/ha), respectively, at a significance level of (0.05). Climate changes recorded an increase in maximum temperatures by 2.47°C for the RCP8.5 scenario and the period 2040–2059, according to the EC-Earth model. Meanwhile, rainfall recorded a decrease of 16.18 mm in the RCP8.5 scenario for the same period and the GFDL-ESM2M model, compared to the reference (historical) period (2005 , 1986) With increased CO₂, irrigation treatment (I1) achieved the highest grain productivity value. (3.24) (tons/ha) according to the RCP8.5 scenario for the period (2020-2039), while under constant CO₂, the lowest value was recorded for irrigation treatment (I3) (0.82) (tons/ha) according to the RCP4.5 scenario for the same period . The highest actual evapotranspiration values were recorded for treatment (I1) at (384.60) (mm) according to the RCP8.5 scenario for the period (2020-2039) under constant CO₂. The lowest values were recorded for treatment (I3) under increasing CO₂, at (266.0 (mm) according to the RCP8.5 scenario for the period (2039-2020 ) The study showed that the experimental site will witness an increase in the productivity of the improved Arabic wheat crop, and assuming an increase in carbon dioxide concentration, this contributes to increased crop productivity.