Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa

Zambia recently experienced several environmental threats from climate change such as droughts, temperature rise and occasional flooding and they all affect agricultural sustainability and people wellbeing through negative effects on plants and growing crops. This paper is aimed at showing variation...

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Autor principal: Lemenkova Polina
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Publicado: Serbian Soil Science Society, Belgrade 2021
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spelling oai:doaj.org-article:529ef80fa1894a8f81809462dc1a254a2021-12-05T21:40:14ZMapping environmental and climate variations by GMT: A case of Zambia, Central Africa0514-66582560-427910.5937/ZemBilj2101117Lhttps://doaj.org/article/529ef80fa1894a8f81809462dc1a254a2021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/0514-6658/2021/0514-66582101117L.pdfhttps://doaj.org/toc/0514-6658https://doaj.org/toc/2560-4279Zambia recently experienced several environmental threats from climate change such as droughts, temperature rise and occasional flooding and they all affect agricultural sustainability and people wellbeing through negative effects on plants and growing crops. This paper is aimed at showing variations in several climate and environmental parameters in Zambia showing spatial variability and trends in different regions of Zambia's key environmental areas (Zambezi River and tributaries), Livingstone near the Victoria Falls and central region with Muchinga Mountains. A series of 10 maps was plotted using data from TerraClimate dataset: precipitation, soil moisture, Palmer Drought Severity Index (PDSI), downward surface shortwave radiation, vapor pressure deficit and anomalies, potential and actual evapotranspiration and wind speed with relation to the topographic distribution of elevations in Zambia plotted using GEBCO/SRTM data. The data range of the PDSI according to the index values ranged from minimum at -5.7 to the maximum at 16.6 and mean at 7.169, with standard deviation at 4.278. The PDSI is effective in quantifying drought in long-term period. Because PDSI index applies temperature data and water balance model, it indicates the effect of climate warming on drought by correlation with potential evapotranspiration. The maximum values for soil moisture of Zambia show minimum at 1 mm/m, maximum at 413 mm/m, mean at 173 mm/m. This study is technically based on using the Generic Mapping Tools (GMT) as cartographic scripting toolset. The paper contributes to the environmental monitoring of Zambia by presenting a series of climate and environmental maps that are beneficial for agricultural mapping of Zambia.Lemenkova PolinaSerbian Soil Science Society, Belgradearticleevapotranspirationradiationsoil moistureprecipitationdroughtvapor pressureMicrobiologyQR1-502BotanyQK1-989ENSHZemljište i biljka, Vol 70, Iss 1, Pp 117-136 (2021)
institution DOAJ
collection DOAJ
language EN
SH
topic evapotranspiration
radiation
soil moisture
precipitation
drought
vapor pressure
Microbiology
QR1-502
Botany
QK1-989
spellingShingle evapotranspiration
radiation
soil moisture
precipitation
drought
vapor pressure
Microbiology
QR1-502
Botany
QK1-989
Lemenkova Polina
Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
description Zambia recently experienced several environmental threats from climate change such as droughts, temperature rise and occasional flooding and they all affect agricultural sustainability and people wellbeing through negative effects on plants and growing crops. This paper is aimed at showing variations in several climate and environmental parameters in Zambia showing spatial variability and trends in different regions of Zambia's key environmental areas (Zambezi River and tributaries), Livingstone near the Victoria Falls and central region with Muchinga Mountains. A series of 10 maps was plotted using data from TerraClimate dataset: precipitation, soil moisture, Palmer Drought Severity Index (PDSI), downward surface shortwave radiation, vapor pressure deficit and anomalies, potential and actual evapotranspiration and wind speed with relation to the topographic distribution of elevations in Zambia plotted using GEBCO/SRTM data. The data range of the PDSI according to the index values ranged from minimum at -5.7 to the maximum at 16.6 and mean at 7.169, with standard deviation at 4.278. The PDSI is effective in quantifying drought in long-term period. Because PDSI index applies temperature data and water balance model, it indicates the effect of climate warming on drought by correlation with potential evapotranspiration. The maximum values for soil moisture of Zambia show minimum at 1 mm/m, maximum at 413 mm/m, mean at 173 mm/m. This study is technically based on using the Generic Mapping Tools (GMT) as cartographic scripting toolset. The paper contributes to the environmental monitoring of Zambia by presenting a series of climate and environmental maps that are beneficial for agricultural mapping of Zambia.
format article
author Lemenkova Polina
author_facet Lemenkova Polina
author_sort Lemenkova Polina
title Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
title_short Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
title_full Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
title_fullStr Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
title_full_unstemmed Mapping environmental and climate variations by GMT: A case of Zambia, Central Africa
title_sort mapping environmental and climate variations by gmt: a case of zambia, central africa
publisher Serbian Soil Science Society, Belgrade
publishDate 2021
url https://doaj.org/article/529ef80fa1894a8f81809462dc1a254a
work_keys_str_mv AT lemenkovapolina mappingenvironmentalandclimatevariationsbygmtacaseofzambiacentralafrica
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