Assessment of meteorological and socioeconomic drought conditions in the Tekeze watershed, northern Ethiopia DOI Creative Commons

Yonas Tesfay Tela,

Simachew Bantigegn Wassie,

Mehrete Belay Ferede

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 18, 2024

In northern Ethiopia, meteorological droughts overwhelm crops and often lead people to food insecurity poverty traps. Socioeconomic similarly aggravate impact livelihoods; causing significant challenge on communities. Such issues in the area were not researched well addressed. Hence, objective of this study was evaluate temporal spatial trends drought implied socioeconomic impacts Tekeze Watershed. The main data sources for included survey questionnaires, field observations, CHIRPS data. Precipitation from various stations also employed validate using a random forest regression model. results revealed strong coefficient determination model, with values 0.88, 0.87, 0.84 Mekele Obseva, Sekota, Yichila, Ashere stations, respectively. This indicates that precipitation recorded at these can be well-explained by showed most years faced shortage rainfall, where year 2015 exceptionally severe drought. conditions exacerbating time reoccurrence period 2 years. found similar within agricultural 2000, 2002, 2004–5, 2009–11, 2013–15, 2017, 2021–23 affected different severity levels associated impacts. Accordingly, almost all (99.5%) respondents reported they personally experiencing droughts. major causes watershed climate variability, land use changes, degradation, water mismanagement, deforestation, war, desert locusts. consequences overlapping crises include pandemics, malnutrition, displacement, crop losses, desertification, conflicts over resource use. While proposed interventions like improved irrigation, infrastructure, drought-resistant crops, emergency relief intended address issues, ill-guided procedures inadequate execution have undermined their effectiveness. Thus, measures been successfully implemented fallen short addressing tangible To end, recommends effective implementation mitigation initially government nongovernmental organizations, emphasizing active involvement local community.

Language: Английский

Monitoring agricultural drought using geospatial technologies: the case of Menna Watershed, northwestern Ethiopia DOI

Fekadie Bazie Enyew,

Simachew Bantigegn Wassie, Daniel Asfaw Bekele

et al.

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(2)

Published: Jan. 10, 2025

Language: Английский

Citations

1
Analysis of the Influence of Driving Factors on Vegetation Changes Based on the Optimal-Parameter-Based Geographical Detector Model in the Yima Mining Area DOI Open Access
Zhichao Chen,

Honghao Feng,

Xueqing Liu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(9), P. 1573 - 1573

Published: Sept. 7, 2024

The growth of vegetation directly maintains the ecological security coal mining areas. It is great significance to monitor dynamic changes in areas and study driving factors spatial division. This focuses on Yima area Henan Province. Utilizing MODIS multi-dimensional explanatory variable data, Theil–Sen Median + Mann–Kendall trend analysis, variation index, Hurst optimal-parameter-based geographical detector model (OPGD) are employed analyze spatiotemporal future trends EVI (enhanced index) from 2000 2020. further investigates underlying that contribute vegetation. results indicate following: (1) During period studied, was primarily characterized by a moderate-to-low cover. exhibited significant variation, with notable pattern “western improvement eastern degradation”. indicated experienced greatly outnumbered underwent degradation. Moreover, there an inclination towards deterioration future. (2) Based optimal parameter geographic detector, it found 2 km scale for analysis change this area. combination determined employing five data discretization methods selecting interval classification range 5–10. approach effectively addresses subjective bias scales discretization, leading enhanced accuracy identification its factors. (3) heterogeneity influenced various factors, such as topography, socio-economic conditions, climate, etc. Among these population density mean annual temperature were primary forces area, Q > 0.29 elevation being strongest factor (Q = 0.326). interaction between night light most powerful explanation 0.541), average value other 0.478, which cofactor among interactions. interactions any two their impact vegetation’s changes, each had suitable affecting vegetative within region. research provides scientific support conserving restoring system.

Language: Английский

Citations

4
Assessment of Trends and Magnitude of Climate Variability and Change in the Kembata Tembaro Zone in Southern Ethiopia DOI Creative Commons
Getachew Tadesse,

Mulugeta Lemenih,

Teshale Woldeamanuel

et al.

Advances in Meteorology, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Incorporating large‐scale climate indices like the El Niño/Southern Oscillation (ENSO) is essential for understanding variability and change on a finer scale. Therefore, this study aimed to investigate trends magnitude of in Kembata Tembaro zone Southern Ethiopia. Climate data from Kadida Gamella (KG), Kacha Birra (KB), Hadaro Tunto (HT) stations were collected. The coefficient variation (CV), standardized anomaly index (SAI), standard precipitation (SPI) used assess variability. Pearson product moment correlation was determine association between rainfall ENSO. In addition, Mann–Kendall (MK) trend test trends. results revealed that observed seasons, with CVs ranging 14.1% 25.0%. Higher percentages dry (negative) values over time estimated during Kiremt (June–September) (51.6%) Belg (February–May) (53.8%) indicating an increase number years. These findings show droughts have become more frequent severe area. Additionally, ENSO strongly influences both amounts. However, some had significant ( p < 0.05) positive KB HT as well annual KB. Furthermore, seasonal temperature showed increasing at all stations. average rates maximum minimum temperatures 0.029 0.030°C, respectively. Overall, past 31 years, area has experienced fine‐scale climatic change. This suggests microscale analysis could be useful developing context‐specific adaptation strategies.

Language: Английский

Citations

0
Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia DOI
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Language: Английский

Citations

0
Future Changes in Rainy Seasons in the Upper Blue Nile Basin: Impacts on Agriculture and Water Resources DOI

Fekadie Bazie Enyew,

Dejene Sahlu,

Gashaw Bimrew Tarekegn

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Understanding Drought: Agricultural and Socioeconomic Effects in Tekeze Watershed, Northern Ethiopia DOI

Yonas Tesfay,

Simachew Bantigegn,

Mehretie Belay

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Language: Английский

Citations

0
Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia DOI Open Access

Fekadie Bazie Enyew,

Dejene Sahlu,

Gashaw Bimrew Tarekegn

et al.

Climate, Journal Year: 2024, Volume and Issue: 12(11), P. 169 - 169

Published: Oct. 22, 2024

The projection and identification of historical future changes in climatic systems is crucial. This study aims to assess the performance CMIP6 climate models projections precipitation temperature variables over Upper Blue Nile Basin (UBNB), Northwestern Ethiopia. bias model data was adjusted using from meteorological stations. Additionally, this uses daily under SSP1-2.6, SSP2-4.5, SSP5-8.5 scenarios for near (2015–2044), mid (2045–2074), far (2075–2100) periods. Power transformation distribution mapping correction techniques were used adjust biases seven models. To validate against observed data, statistical evaluation employed. Mann–Kendall (MK) Sen’s slope estimator also performed identify trends magnitudes variations rainfall temperature, respectively. revealed that INM-CM5-0 INM-CM4-8 best all agro-climatic zones show a significant (p < 0.01) positive trend. mean annual maximum UBNB estimated increase by 1.8 °C, 2.1 2.8 °C between 2015 2100, Similarly, annually minimum 1.5 3.1 SSP5-8.5, These are anticipated alter incidence severity extremes. Hence, communities should adopt various adaptation practices mitigate effects rising temperatures.

Language: Английский

Citations

3
Assessment of meteorological and socioeconomic drought conditions in the Tekeze watershed, northern Ethiopia DOI Creative Commons

Yonas Tesfay Tela,

Simachew Bantigegn Wassie,

Mehrete Belay Ferede

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 18, 2024

In northern Ethiopia, meteorological droughts overwhelm crops and often lead people to food insecurity poverty traps. Socioeconomic similarly aggravate impact livelihoods; causing significant challenge on communities. Such issues in the area were not researched well addressed. Hence, objective of this study was evaluate temporal spatial trends drought implied socioeconomic impacts Tekeze Watershed. The main data sources for included survey questionnaires, field observations, CHIRPS data. Precipitation from various stations also employed validate using a random forest regression model. results revealed strong coefficient determination model, with values 0.88, 0.87, 0.84 Mekele Obseva, Sekota, Yichila, Ashere stations, respectively. This indicates that precipitation recorded at these can be well-explained by showed most years faced shortage rainfall, where year 2015 exceptionally severe drought. conditions exacerbating time reoccurrence period 2 years. found similar within agricultural 2000, 2002, 2004–5, 2009–11, 2013–15, 2017, 2021–23 affected different severity levels associated impacts. Accordingly, almost all (99.5%) respondents reported they personally experiencing droughts. major causes watershed climate variability, land use changes, degradation, water mismanagement, deforestation, war, desert locusts. consequences overlapping crises include pandemics, malnutrition, displacement, crop losses, desertification, conflicts over resource use. While proposed interventions like improved irrigation, infrastructure, drought-resistant crops, emergency relief intended address issues, ill-guided procedures inadequate execution have undermined their effectiveness. Thus, measures been successfully implemented fallen short addressing tangible To end, recommends effective implementation mitigation initially government nongovernmental organizations, emphasizing active involvement local community.

Language: Английский

Citations

1