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Spatiotemporal Variability, Trends, and Potential Impacts of Extreme Rainfall Events in the Sudano-Sahelian Region of Cameroon
The Sudano-Sahelian region of Cameroon is mainly drained by the Benue, Chari, and Logone rivers; which are very useful for water resources; especially for irrigation, hydropower generation, and navigation. Long-term changes in mean and extreme rainfall events in the region may be of crucial importan...
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Published in: | Atmosphere 2022-10, Vol.13 (10), p.1599 |
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description | The Sudano-Sahelian region of Cameroon is mainly drained by the Benue, Chari, and Logone rivers; which are very useful for water resources; especially for irrigation, hydropower generation, and navigation. Long-term changes in mean and extreme rainfall events in the region may be of crucial importance in understanding the impacts of climate change. Daily and monthly rainfall data from fifteen climate stations in the study area from 1980 to 2018 and measurements from the Expert Team on Climate Change Detection and Indices (ETCCDI) were estimated using the non-parametric innovative trend analysis (ITA) and the Sen slope estimator. The precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) were used to explore the spatiotemporal variations in the characteristics of rainfall concentrations. The results showed complex spatial patterns of the annual average PCI values across the Sudano-Sahelian region; which varied from values lower in the south to higher in the far north, which were the characteristic of seasonality and a strong seasonal precipitation distribution throughout the year; respectively. The PCD results revealed that the annual rainy days in a year decreased from the south to the far north. Additionally, the PCP results indicated a slightly later occurrence of precipitation. A significant trend toward more intense–extreme rainfall events was observed in most parts of the study area, but a significant trend toward more humid days was observed in the southeastern part. Trends in dry days significantly increased in the central and southwestern parts of the study area. This could mean that the prevalence of flood and drought risks are higher in the study area. Overall, the increase in annual rainfall could benefit the hydro-power sector, agricultural irrigation, the availability of potable water sources, and food security. |
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Long-term changes in mean and extreme rainfall events in the region may be of crucial importance in understanding the impacts of climate change. Daily and monthly rainfall data from fifteen climate stations in the study area from 1980 to 2018 and measurements from the Expert Team on Climate Change Detection and Indices (ETCCDI) were estimated using the non-parametric innovative trend analysis (ITA) and the Sen slope estimator. The precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) were used to explore the spatiotemporal variations in the characteristics of rainfall concentrations. The results showed complex spatial patterns of the annual average PCI values across the Sudano-Sahelian region; which varied from values lower in the south to higher in the far north, which were the characteristic of seasonality and a strong seasonal precipitation distribution throughout the year; respectively. The PCD results revealed that the annual rainy days in a year decreased from the south to the far north. Additionally, the PCP results indicated a slightly later occurrence of precipitation. A significant trend toward more intense–extreme rainfall events was observed in most parts of the study area, but a significant trend toward more humid days was observed in the southeastern part. Trends in dry days significantly increased in the central and southwestern parts of the study area. This could mean that the prevalence of flood and drought risks are higher in the study area. Overall, the increase in annual rainfall could benefit the hydro-power sector, agricultural irrigation, the availability of potable water sources, and food security.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos13101599</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agriculture ; Annual rainfall ; Aquatic resources ; Breeding of animals ; Cameroon ; Change detection ; Climate change ; Climatic changes ; Climatic indexes ; Cotton ; Drinking water ; Drought ; Droughts ; Environmental aspects ; Environmental impact ; Environmental risk ; extreme precipitation indices ; Extreme weather ; Floods ; Food security ; Food sources ; Food supply ; Forecasts and trends ; Hydroelectric power ; Hydroelectric power generation ; Hydrologic data ; Hypotheses ; Influence ; Irrigation ; Irrigation water ; Long-term changes ; Monthly rainfall ; Monthly rainfall data ; Navigation ; Precipitation ; Precipitation distribution ; Rain and rainfall ; Rainfall ; Rainfall-climatic change relationships ; Rivers ; Seasonal distribution ; Seasonal precipitation ; Seasonal variations ; Seasonality ; Sudano-Sahelian regions ; Trend analysis ; Trends ; Water resources ; Water sources</subject><ispartof>Atmosphere, 2022-10, Vol.13 (10), p.1599</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-ed7ae85d1dc96c50528a545b7c5d91cfddfd5f65a1ee7e7fb1d65e81208890623</citedby><cites>FETCH-LOGICAL-c409t-ed7ae85d1dc96c50528a545b7c5d91cfddfd5f65a1ee7e7fb1d65e81208890623</cites><orcidid>0000-0002-8681-5328 ; 0000-0003-1616-2226 ; 0000-0003-3660-7755</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2728429925/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2728429925?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Njouenwet, Ibrahim</creatorcontrib><creatorcontrib>Tchotchou, Lucie Angennes Djiotang</creatorcontrib><creatorcontrib>Ayugi, Brian Odhiambo</creatorcontrib><creatorcontrib>Guenang, Guy Merlin</creatorcontrib><creatorcontrib>Vondou, Derbetini Appolinaire</creatorcontrib><creatorcontrib>Nouayou, Robert</creatorcontrib><title>Spatiotemporal Variability, Trends, and Potential Impacts of Extreme Rainfall Events in the Sudano-Sahelian Region of Cameroon</title><title>Atmosphere</title><description>The Sudano-Sahelian region of Cameroon is mainly drained by the Benue, Chari, and Logone rivers; which are very useful for water resources; especially for irrigation, hydropower generation, and navigation. Long-term changes in mean and extreme rainfall events in the region may be of crucial importance in understanding the impacts of climate change. Daily and monthly rainfall data from fifteen climate stations in the study area from 1980 to 2018 and measurements from the Expert Team on Climate Change Detection and Indices (ETCCDI) were estimated using the non-parametric innovative trend analysis (ITA) and the Sen slope estimator. The precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) were used to explore the spatiotemporal variations in the characteristics of rainfall concentrations. The results showed complex spatial patterns of the annual average PCI values across the Sudano-Sahelian region; which varied from values lower in the south to higher in the far north, which were the characteristic of seasonality and a strong seasonal precipitation distribution throughout the year; respectively. The PCD results revealed that the annual rainy days in a year decreased from the south to the far north. Additionally, the PCP results indicated a slightly later occurrence of precipitation. A significant trend toward more intense–extreme rainfall events was observed in most parts of the study area, but a significant trend toward more humid days was observed in the southeastern part. Trends in dry days significantly increased in the central and southwestern parts of the study area. This could mean that the prevalence of flood and drought risks are higher in the study area. Overall, the increase in annual rainfall could benefit the hydro-power sector, agricultural irrigation, the availability of potable water sources, and food security.</description><subject>Agriculture</subject><subject>Annual rainfall</subject><subject>Aquatic resources</subject><subject>Breeding of animals</subject><subject>Cameroon</subject><subject>Change detection</subject><subject>Climate change</subject><subject>Climatic changes</subject><subject>Climatic indexes</subject><subject>Cotton</subject><subject>Drinking water</subject><subject>Drought</subject><subject>Droughts</subject><subject>Environmental aspects</subject><subject>Environmental impact</subject><subject>Environmental risk</subject><subject>extreme precipitation indices</subject><subject>Extreme weather</subject><subject>Floods</subject><subject>Food security</subject><subject>Food sources</subject><subject>Food supply</subject><subject>Forecasts and trends</subject><subject>Hydroelectric power</subject><subject>Hydroelectric power generation</subject><subject>Hydrologic data</subject><subject>Hypotheses</subject><subject>Influence</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Long-term changes</subject><subject>Monthly rainfall</subject><subject>Monthly rainfall data</subject><subject>Navigation</subject><subject>Precipitation</subject><subject>Precipitation distribution</subject><subject>Rain and rainfall</subject><subject>Rainfall</subject><subject>Rainfall-climatic change relationships</subject><subject>Rivers</subject><subject>Seasonal distribution</subject><subject>Seasonal precipitation</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Sudano-Sahelian regions</subject><subject>Trend analysis</subject><subject>Trends</subject><subject>Water resources</subject><subject>Water sources</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkc1vEzEQxVcIJKrSI3dLXLvFn-v1sYoCRKoEagrX1cSeTR3t2ovtoPbC345DEALPwdbovZ-fZprmLaM3Qhj6HsocMxOMMmXMi-aCUy1aKYV4-c_7dXOV84HWI43gQl40P7cLFB8LzktMMJFvkDzs_OTL8zV5SBhcviYQHPlSNaH4KtnMC9iSSRzJ-qkknJHcgw8jTBNZ_6iiTHwg5RHJ9uggxHYLjzh5COQe9z6Gk3EFM6YYw5vmVfVlvPpzXzZfP6wfVp_au88fN6vbu9ZKakqLTgP2yjFnTWcVVbwHJdVOW-UMs6Nzo1Njp4AhatTjjrlOYc847XtDOy4um82Z6yIchiX5GdLzEMEPvxsx7QdIxdsJBwBEUX_iHI20IxisYN5RxbimjLrKendmLSl-P2IuwyEeU6jxB655L7kxXFXVzVm1hwqt44klga3lcPY2Bhx97d9qqThnuj9FbM8Gm2LOCce_MRkdTise_lux-AX6OZrI</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Njouenwet, Ibrahim</creator><creator>Tchotchou, Lucie Angennes Djiotang</creator><creator>Ayugi, Brian Odhiambo</creator><creator>Guenang, Guy Merlin</creator><creator>Vondou, Derbetini Appolinaire</creator><creator>Nouayou, Robert</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8681-5328</orcidid><orcidid>https://orcid.org/0000-0003-1616-2226</orcidid><orcidid>https://orcid.org/0000-0003-3660-7755</orcidid></search><sort><creationdate>20221001</creationdate><title>Spatiotemporal Variability, Trends, and Potential Impacts of Extreme Rainfall Events in the Sudano-Sahelian Region of Cameroon</title><author>Njouenwet, Ibrahim ; 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which are very useful for water resources; especially for irrigation, hydropower generation, and navigation. Long-term changes in mean and extreme rainfall events in the region may be of crucial importance in understanding the impacts of climate change. Daily and monthly rainfall data from fifteen climate stations in the study area from 1980 to 2018 and measurements from the Expert Team on Climate Change Detection and Indices (ETCCDI) were estimated using the non-parametric innovative trend analysis (ITA) and the Sen slope estimator. The precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) were used to explore the spatiotemporal variations in the characteristics of rainfall concentrations. The results showed complex spatial patterns of the annual average PCI values across the Sudano-Sahelian region; which varied from values lower in the south to higher in the far north, which were the characteristic of seasonality and a strong seasonal precipitation distribution throughout the year; respectively. The PCD results revealed that the annual rainy days in a year decreased from the south to the far north. Additionally, the PCP results indicated a slightly later occurrence of precipitation. A significant trend toward more intense–extreme rainfall events was observed in most parts of the study area, but a significant trend toward more humid days was observed in the southeastern part. Trends in dry days significantly increased in the central and southwestern parts of the study area. This could mean that the prevalence of flood and drought risks are higher in the study area. Overall, the increase in annual rainfall could benefit the hydro-power sector, agricultural irrigation, the availability of potable water sources, and food security.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/atmos13101599</doi><orcidid>https://orcid.org/0000-0002-8681-5328</orcidid><orcidid>https://orcid.org/0000-0003-1616-2226</orcidid><orcidid>https://orcid.org/0000-0003-3660-7755</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Annual rainfall Aquatic resources Breeding of animals Cameroon Change detection Climate change Climatic changes Climatic indexes Cotton Drinking water Drought Droughts Environmental aspects Environmental impact Environmental risk extreme precipitation indices Extreme weather Floods Food security Food sources Food supply Forecasts and trends Hydroelectric power Hydroelectric power generation Hydrologic data Hypotheses Influence Irrigation Irrigation water Long-term changes Monthly rainfall Monthly rainfall data Navigation Precipitation Precipitation distribution Rain and rainfall Rainfall Rainfall-climatic change relationships Rivers Seasonal distribution Seasonal precipitation Seasonal variations Seasonality Sudano-Sahelian regions Trend analysis Trends Water resources Water sources |
title | Spatiotemporal Variability, Trends, and Potential Impacts of Extreme Rainfall Events in the Sudano-Sahelian Region of Cameroon |
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