Evidence of climate variability from rainfall and temperature fluctuations in semi-arid region of the tropics

Umar, Da’u Abba; Ramli, Mohammad Firuz; Aris, Ahmad Zaharin; Jamil, Nor Rohaizah; Aderemi, Adebayo Abel

doi:10.1016/j.atmosres.2019.03.023

Cited by 35 publications

(21 citation statements)

References 34 publications

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“…Developed initially by Mann in 1945, and later modified by Kendall in 1975, the MK test for trend assessment is a widely used method for detecting monotonic trends in hydrological time-series [2]. Some of the Mann-Kendall's advantages is that it adapts to missing values and is minimally affected by atypical data [40]. The procedure requires comparing data pairs, meaning that each record gets compared to every other record in the time-series [4,41].…”

Section: Mk Testmentioning

confidence: 99%

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Arrieta-Castro

Donado-Rodríguez

Acuña

et al. 2020

Water

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The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. The methods employed for the trend detection and quantification were the Mann–Kendall (MK) test, the modified MK (MMK) test, and the Sen’s slope (SS) estimator. Statistically significant trends (at a 95% level of confidence) were detected in more than 30% of the 105 evaluated datasets. The results from the MK test indicate the presence of statistically significant downward trends in the upstream stations and upward trends in the downstream stations, with the latter presenting steep positive slopes. The findings of this study are valuable assets for water resources management and sustainable planning in the Meta River Basin.

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Section: Mk Testmentioning

confidence: 99%

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Arrieta-Castro

Donado-Rodríguez

Acuña

et al. 2020

Water

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“…(2018 , 2019) . ArcGIS application tool, the inverse distance weighted (IDW) spatial-interpolation method was used to demonstrate spatiotemporal distributions of annual rainfall, maximum and minimum temperature over the study area ( Suryabhagavan, 2017 ; Umar et al., 2019 ).…”

Section: Methodsmentioning

confidence: 99%

“…The upward and downward tendency is calculated using the non-parametric Mann-Kendall test (Mann, 1945;Kendall, 1975) and its significance of change in both rainfall and temperature data was calculated using trend package of R software as previously used by Pohlert (2016), Gebrechorkos et al (2018Gebrechorkos et al ( , 2019. ArcGIS application tool, the inverse distance weighted (IDW) spatial-interpolation method was used to demonstrate spatiotemporal distributions of annual rainfall, maximum and minimum temperature over the study area (Suryabhagavan, 2017;Umar et al, 2019).…”

Section: Data Sources and Analysismentioning

confidence: 99%

Evidences of climate change presences in the wettest parts of southwest Ethiopia

Gemeda

Korecha²,

Garedew

2021

Heliyon

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Climate change has been identified as a major challenge of rainfed agriculture. To contextualize whether there is climate change footprint, identification of rainfall and temperature trend at regional and local scale is helpful for designing long-term adaptation and mitigation strategies. The present study therefore aims to assess evidences of climate change presences in terms of, climate variability and trend in the wettest parts of Southwest Ethiopia. Daily and monthly historical gridded rainfall and temperature data (1983–2016) of ten stations were provided by Ethiopian National Metrological Agency. Moreover, long years historical recorded climate data of Nekemte and Bedele (1971–2020) and Sekoru (1981–2020) were used in the present study. Coefficient of variation, the Mann-Kendall non-parametric statistical test and Sen's slope estimator, linear regression analysis and the precipitation concentration index were applied to detect the presence of climate change in the southwest parts of Ethiopia. In this study, the trend package of open R software employed for trend identification and rate of change per year. The results indicate that the annual rainfall has declining trend at five stations with statistically significant at one station while the mean maximum and minimum temperature shows a statistically significant increasing trend at eight and six stations, respectively. At a seasonal scale, the amount of rainfall in the main rainy season (June to August) is dominated by a downward trend (eight out of ten stations) while, the autumn season (September to November) shows an increasing trend in all stations with statistically significant at one station. The precipitation concentration index analysis revealed that inconsistent and significantly irregular precipitation is observed at six stations (60%) of the ten stations. This study concludes that the climate of the wettest parts of Ethiopia is getting warmer and the amount of rainfall in the main rainy season has declined in the vast majority of the study area.

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“…Still, there are no articles describing the anthropogenic effect on precipitations due to changes in land evaporation from mining of any mineral. Nonetheless, some authors recognize the impact that other anthropogenic activities can have on precipitations due to: (1) aerosol emissions (Bai et al, 2020), 2greenhouse emissions and (3) land use (Umar et al, 2019). Additionally, there is a significant support to the view that different human activities (particularly land use and dam constructions) may alter the hydrological cycle at a basin scale (Awotwi et al, 2017;Elsanabary and Gan., 2015;Shao et al, 2020;Van der Ent, 2010;Wang et al, 2008).…”

Section: Salar De Atacama' Hydrological Cyclementioning

confidence: 99%

Role of Lithium Mining on the Water Stress of the Salar De Atacama Basin

Guzmán¹,

Faúndez²,

Jara³

et al. 2021

Preprint

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Brines located in the Salar de Atacama are a significant source of lithium worldwide. The extractive method for these minerals is through brine pumping, with subsequent solar evaporation in ponds. In this latter process, part of the water present in brine is evaporated to the atmosphere, leading to the possibility of harvesting lithium and potassium salts. This situation has risen a series of environmental concerns among local stakeholders and international environmental groups; specifically, in terms of water depletion caused by mining activities. However, no comprehensive studies have been carried out to quantify the impact on the water availability of this basin as a consequence of lithium mining. The aim of this study is to contribute to fill in this gap by quantifying the impact of brine and water evaporation over the precipitations in the area, and thus on the water stress at the Salar de Atacama basin. Through the implementation of a novel methodology based on a VAR model, the potential recharge on the basin is estimated, considering the precipitations associated with water evaporation in the process of lithium extraction. With this information, the Water Stress Index (WSI) over the period 2002-2017 is computed. The results show that

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Evidence of climate variability from rainfall and temperature fluctuations in semi-arid region of the tropics

Cited by 35 publications

References 34 publications

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Evidences of climate change presences in the wettest parts of southwest Ethiopia

Role of Lithium Mining on the Water Stress of the Salar De Atacama Basin

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