Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

Detecting and predicting the impact of land use/land cover (LULC) changes on streamflow are crucial sources of information for the effective management and protection of land and water resources in Sahelian ecosystems such as the Hadejia river basin. In this study, LULC change detection was performe...

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Autores principales:	Da'u Abba Umar, Mohammad Firuz Ramli, Abubakar Ibrahim Tukur, Nor Rohaizah Jamil, Muhammad Amar Zaudi
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	cellular automata inverse distance weightage land use northwestern nigeria streamflow River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/7e38992fbec44555938da8346e768bfa
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spelling	oai:doaj.org-article:7e38992fbec44555938da8346e768bfa2021-11-08T07:59:47ZDetection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria2616-651810.2166/h2oj.2021.065https://doaj.org/article/7e38992fbec44555938da8346e768bfa2021-01-01T00:00:00Zhttp://doi.org/10.2166/h2oj.2021.065https://doaj.org/toc/2616-6518Detecting and predicting the impact of land use/land cover (LULC) changes on streamflow are crucial sources of information for the effective management and protection of land and water resources in Sahelian ecosystems such as the Hadejia river basin. In this study, LULC change detection was performed using ENVI, while the LULC modeling was conducted using the cellular automata (CA)–Markov in the IDRISI environment. However, the streamflow trend and variation were assessed using the Mann–Kendall (MK) trend test and the inverse distance weightage (IDW). Before the LULC modeling and projection (2030), the LULC was classified for 1990, 2000, and 2010 using supervised classification. Model output revealed a strong relationship between LULC and streamflow trend, thus, the decade 1990–2000 was the decade with high forest clearance and streamflow output, and consequently severe floods. However, the decade 2000–2010 witnessed land use expansion mainly via construction (3.4%). Meanwhile, the scenario will slightly change in the future as agriculture is projected to expand by about 9.3% from 2010 to 2030 due to the increased human population. Thus, food insecurity aggravated by climate change should be anticipated, and measures to avert/reduce their effects must be initiated. Highlights The pattern of land use change was detected and predicted in Hadejia river basin.; Agriculture was and is still the dominant land use type in the basin area.; The construction land use and related, here referred to as ‘others’, is the most expanding land use type.; Both temporal and spatial analysis show that land use changes exact a certain influence on streamflow in the basin.;Da'u Abba UmarMohammad Firuz RamliAbubakar Ibrahim TukurNor Rohaizah JamilMuhammad Amar ZaudiIWA Publishingarticlecellular automatainverse distance weightageland usenorthwestern nigeriastreamflowRiver, lake, and water-supply engineering (General)TC401-506Water supply for domestic and industrial purposesTD201-500ENH2Open Journal, Vol 4, Iss 1, Pp 92-113 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cellular automata inverse distance weightage land use northwestern nigeria streamflow River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500
spellingShingle	cellular automata inverse distance weightage land use northwestern nigeria streamflow River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500 Da'u Abba Umar Mohammad Firuz Ramli Abubakar Ibrahim Tukur Nor Rohaizah Jamil Muhammad Amar Zaudi Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
description	Detecting and predicting the impact of land use/land cover (LULC) changes on streamflow are crucial sources of information for the effective management and protection of land and water resources in Sahelian ecosystems such as the Hadejia river basin. In this study, LULC change detection was performed using ENVI, while the LULC modeling was conducted using the cellular automata (CA)–Markov in the IDRISI environment. However, the streamflow trend and variation were assessed using the Mann–Kendall (MK) trend test and the inverse distance weightage (IDW). Before the LULC modeling and projection (2030), the LULC was classified for 1990, 2000, and 2010 using supervised classification. Model output revealed a strong relationship between LULC and streamflow trend, thus, the decade 1990–2000 was the decade with high forest clearance and streamflow output, and consequently severe floods. However, the decade 2000–2010 witnessed land use expansion mainly via construction (3.4%). Meanwhile, the scenario will slightly change in the future as agriculture is projected to expand by about 9.3% from 2010 to 2030 due to the increased human population. Thus, food insecurity aggravated by climate change should be anticipated, and measures to avert/reduce their effects must be initiated. Highlights The pattern of land use change was detected and predicted in Hadejia river basin.; Agriculture was and is still the dominant land use type in the basin area.; The construction land use and related, here referred to as ‘others’, is the most expanding land use type.; Both temporal and spatial analysis show that land use changes exact a certain influence on streamflow in the basin.;
format	article
author	Da'u Abba Umar Mohammad Firuz Ramli Abubakar Ibrahim Tukur Nor Rohaizah Jamil Muhammad Amar Zaudi
author_facet	Da'u Abba Umar Mohammad Firuz Ramli Abubakar Ibrahim Tukur Nor Rohaizah Jamil Muhammad Amar Zaudi
author_sort	Da'u Abba Umar
title	Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
title_short	Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
title_full	Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
title_fullStr	Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
title_full_unstemmed	Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria
title_sort	detection and prediction of land use change impact on the streamflow regime in sahelian river basin, northwestern nigeria
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/7e38992fbec44555938da8346e768bfa
work_keys_str_mv	AT dauabbaumar detectionandpredictionoflandusechangeimpactonthestreamflowregimeinsahelianriverbasinnorthwesternnigeria AT mohammadfiruzramli detectionandpredictionoflandusechangeimpactonthestreamflowregimeinsahelianriverbasinnorthwesternnigeria AT abubakaribrahimtukur detectionandpredictionoflandusechangeimpactonthestreamflowregimeinsahelianriverbasinnorthwesternnigeria AT norrohaizahjamil detectionandpredictionoflandusechangeimpactonthestreamflowregimeinsahelianriverbasinnorthwesternnigeria AT muhammadamarzaudi detectionandpredictionoflandusechangeimpactonthestreamflowregimeinsahelianriverbasinnorthwesternnigeria
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Detection and prediction of land use change impact on the streamflow regime in Sahelian river basin, northwestern Nigeria

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