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Partager le résultat de cette rechercheCrop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data / Z.M. Nigatu in Science of the Total Environment, vol. 825 (15 June 2022)
Titre : Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data Type de document : objet à 3 dimensions, artefacts, ... Auteurs : Z.M. Nigatu ; W. You ; D. Fan ; Z. Jiang ; X. Wan ; X. Yang ; L. Pu ; A.M. Melesse Année de publication : 2022 Article en page(s) : p. 1-16 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : A HISTOIRE - Pays et ensemble de pays:Afrique:Afrique du Nord:Égypte ; A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agroéconomie:Politique agricole:Sécurité alimentaire Access by all people at all times to enough food for an active, healthy life.; A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agroéconomie:Production agricole ; S SCIENCES ET TECHNIQUES:Hydrologie:Ressources en eau:Eau souterraine ; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Catastrophe:Catastrophe naturelle:Sécheresse ; S SCIENCES ET TECHNIQUES:Sciences de la physique:Propriété physique:HumiditéMots-clés : 07 - ENVIRONNEMENT 7.5 - Dégradation : Impact, Désertification DROUGHT AGRICULTURAL PRODUCTION IMPACT ASSESSMENT EVALUATION DE L'IMPACT HUMIDITY FOOD SECURITY GROUNDWATER EGYPT Résumé : Soil moisture (SM) and groundwater (GW) depletion triggered by anthropogenic and natural climate change are influencing food security via crop production per capita decrease in the Nile River Basin (NRB). However, to the best of our understanding, the causes and impact of SM and GW depletion have not been studied yet comprehensively in the NRB. In this study, GW is derived from the Gravity Recovery and Climate Experiment (GRACE) mission, and SM was estimated using the Triple Collocation Analysis (TCA). SM/GW depletion causes were evaluated via the Land Use Land Cover (LULC) and rainfall/temperature change analysis, whereas impact analysis focused on crop production per capita reduction (food insecurity) during SM depletion. The major findings of this study are 1) TCA analyzed SM show a decreasing trend (−0.06 mm/yr) in agricultural land while increasing (+0.21 mm/yr) in forest land, 2) LULC analysis indicated a vast increment of agricultural land (+9%) and bareland (+9%) although the decreasing pattern of forest (−1.5%) and shrubland (−6.9%) during 1990–2019; 3) the impact of SM depletion on crop production per capita caused food insecurity during a drought year, 4) agriculture drought indices and crop production per capita show high correlations (R2 = 0.86 to 0.60) demonstrated that Vegetation Supply Water Index (VSWI) could provide strategic warning of drought impacts on rainfed agricultural regions. In conclusion, SM and GW depletions are mainly caused by human-induced and climate change factors imposing food insecurity challenges in the NRB coupled with increasing temperature and excessive water extraction for irrigation. Therefore, it is highly recommended to rethink and reverse SM/GW depletion causing factors to sustain food security in NRB and similar basins. En ligne : https://doi.org/10.1016/j.scitotenv.2022.154007 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=284572
in Science of the Total Environment > vol. 825 (15 June 2022) . - p. 1-16[article] Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data [objet à 3 dimensions, artefacts, ...] / Z.M. Nigatu ; W. You ; D. Fan ; Z. Jiang ; X. Wan ; X. Yang ; L. Pu ; A.M. Melesse . - 2022 . - p. 1-16.
Langues : Anglais (eng) Langues originales : Anglais (eng)
in Science of the Total Environment > vol. 825 (15 June 2022) . - p. 1-16
Catégories : A HISTOIRE - Pays et ensemble de pays:Afrique:Afrique du Nord:Égypte ; A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agroéconomie:Politique agricole:Sécurité alimentaire Access by all people at all times to enough food for an active, healthy life.; A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agroéconomie:Production agricole ; S SCIENCES ET TECHNIQUES:Hydrologie:Ressources en eau:Eau souterraine ; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Catastrophe:Catastrophe naturelle:Sécheresse ; S SCIENCES ET TECHNIQUES:Sciences de la physique:Propriété physique:HumiditéMots-clés : 07 - ENVIRONNEMENT 7.5 - Dégradation : Impact, Désertification DROUGHT AGRICULTURAL PRODUCTION IMPACT ASSESSMENT EVALUATION DE L'IMPACT HUMIDITY FOOD SECURITY GROUNDWATER EGYPT Résumé : Soil moisture (SM) and groundwater (GW) depletion triggered by anthropogenic and natural climate change are influencing food security via crop production per capita decrease in the Nile River Basin (NRB). However, to the best of our understanding, the causes and impact of SM and GW depletion have not been studied yet comprehensively in the NRB. In this study, GW is derived from the Gravity Recovery and Climate Experiment (GRACE) mission, and SM was estimated using the Triple Collocation Analysis (TCA). SM/GW depletion causes were evaluated via the Land Use Land Cover (LULC) and rainfall/temperature change analysis, whereas impact analysis focused on crop production per capita reduction (food insecurity) during SM depletion. The major findings of this study are 1) TCA analyzed SM show a decreasing trend (−0.06 mm/yr) in agricultural land while increasing (+0.21 mm/yr) in forest land, 2) LULC analysis indicated a vast increment of agricultural land (+9%) and bareland (+9%) although the decreasing pattern of forest (−1.5%) and shrubland (−6.9%) during 1990–2019; 3) the impact of SM depletion on crop production per capita caused food insecurity during a drought year, 4) agriculture drought indices and crop production per capita show high correlations (R2 = 0.86 to 0.60) demonstrated that Vegetation Supply Water Index (VSWI) could provide strategic warning of drought impacts on rainfed agricultural regions. In conclusion, SM and GW depletions are mainly caused by human-induced and climate change factors imposing food insecurity challenges in the NRB coupled with increasing temperature and excessive water extraction for irrigation. Therefore, it is highly recommended to rethink and reverse SM/GW depletion causing factors to sustain food security in NRB and similar basins. En ligne : https://doi.org/10.1016/j.scitotenv.2022.154007 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=284572
Titre : A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions Type de document : objet à 3 dimensions, artefacts, ... Auteurs : G. Singh ; N.N. Das ; G. Singh Année de publication : 2022 Article en page(s) : p. 1-17 Langues : Anglais (eng) Langues originales : Anglais (eng) Catégories : A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agriculture ; C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Génie civil, militaire et minier:Levé topographique:Cartographie ; J CULTURE - ART - LOISIRS - ANIMATION:J.26 Technologie de l'information (logiciels):Traitement des données:Codage:Télédétection An advanced system of information gathering to monitor and forecast developments on the surface of the earth and identify an area's natural resources by looking at the world from aircraft, balloons, or satellites and evaluating the data gathered.; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Catastrophe:Catastrophe naturelle:Sécheresse ; S SCIENCES ET TECHNIQUES:Sciences de la physique:Propriété physique:HumiditéMots-clés : 07 - ENVIRONNEMENT 7.3 - Eau. Gestion de l'Eau WATER MANAGEMENT GESTION DES EAUX DROUGHT STRESS STRESS DU A LA SECHERESSE HUMIDITY WATER AVAILABITY EAU DISPONIBLE CARTOGRAPHY DROUGHT DECISION SUPPORT AIDE A LA DECISION REMOTE SENSING Résumé : Effective agricultural water management requires accurate and timely identification of crop water stress at the farm-scale for irrigation advisories or to allocate the optimal amount of water for irrigation. Various drought indices are being utilized to map the water-stressed locations/farms in agricultural regions. Most of these existing drought indices provide some degree of characterization of water stress but do not adequately provide spatially resolved high-resolution (farm-scale) information for decision-making about irrigation advisories or water allocation. These existing drought indices need modeling and climatology information, hence making them data-intensive and complex to compute. Therefore, a reliable, simple, and computationally easy method without modeling to characterize the water stress at high-resolution is essential for the operational mapping of water-stressed farms in agricultural regions. The proposed new approach facilitates improved and quick decision-making without compromising much of the skills imparted by the established drought indices. This study aims to formulate a water-demand index (WDI) based on a parameter-independent data-driven approach using readily available remote sensing observations and weather data. We hypothesize that the WDI for an agricultural domain can be characterized by soil moisture, vegetative growth (NDVI), and heat unit (growing degree day, GDD). To this end, we used remote sensing-based soil moisture and NDVI and modeled ambient temperature datasets to generate weekly WDI maps at 1 km. The proposed methodology is verified over a few intensively irrigated agricultural-dominated areas with different climatic conditions. Our results suggest that the proposed approach characterizes water-stressed fields through WDI maps with good spatial representativeness. Overall, this study provides a framework to generate weekly WDI maps quickly with readily available measurements. These water-demand maps will help water resource managers to reduce dependence on established drought indices and prioritize the specific regions/fields with high water demand for optimum water allocations to improve crop health and ultimately maximize water-use efficiency. En ligne : https://doi.org/10.1016/j.scitotenv.2022.155893 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=284562
in Science of the Total Environment > vol. 837 (1 September 2022) . - p. 1-17[article] A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions [objet à 3 dimensions, artefacts, ...] / G. Singh ; N.N. Das ; G. Singh . - 2022 . - p. 1-17.
Langues : Anglais (eng) Langues originales : Anglais (eng)
in Science of the Total Environment > vol. 837 (1 September 2022) . - p. 1-17
Catégories : A HISTOIRE - Pays et ensemble de pays:Histoire du Monde Rural:Agriculture ; C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Génie civil, militaire et minier:Levé topographique:Cartographie ; J CULTURE - ART - LOISIRS - ANIMATION:J.26 Technologie de l'information (logiciels):Traitement des données:Codage:Télédétection An advanced system of information gathering to monitor and forecast developments on the surface of the earth and identify an area's natural resources by looking at the world from aircraft, balloons, or satellites and evaluating the data gathered.; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Catastrophe:Catastrophe naturelle:Sécheresse ; S SCIENCES ET TECHNIQUES:Sciences de la physique:Propriété physique:HumiditéMots-clés : 07 - ENVIRONNEMENT 7.3 - Eau. Gestion de l'Eau WATER MANAGEMENT GESTION DES EAUX DROUGHT STRESS STRESS DU A LA SECHERESSE HUMIDITY WATER AVAILABITY EAU DISPONIBLE CARTOGRAPHY DROUGHT DECISION SUPPORT AIDE A LA DECISION REMOTE SENSING Résumé : Effective agricultural water management requires accurate and timely identification of crop water stress at the farm-scale for irrigation advisories or to allocate the optimal amount of water for irrigation. Various drought indices are being utilized to map the water-stressed locations/farms in agricultural regions. Most of these existing drought indices provide some degree of characterization of water stress but do not adequately provide spatially resolved high-resolution (farm-scale) information for decision-making about irrigation advisories or water allocation. These existing drought indices need modeling and climatology information, hence making them data-intensive and complex to compute. Therefore, a reliable, simple, and computationally easy method without modeling to characterize the water stress at high-resolution is essential for the operational mapping of water-stressed farms in agricultural regions. The proposed new approach facilitates improved and quick decision-making without compromising much of the skills imparted by the established drought indices. This study aims to formulate a water-demand index (WDI) based on a parameter-independent data-driven approach using readily available remote sensing observations and weather data. We hypothesize that the WDI for an agricultural domain can be characterized by soil moisture, vegetative growth (NDVI), and heat unit (growing degree day, GDD). To this end, we used remote sensing-based soil moisture and NDVI and modeled ambient temperature datasets to generate weekly WDI maps at 1 km. The proposed methodology is verified over a few intensively irrigated agricultural-dominated areas with different climatic conditions. Our results suggest that the proposed approach characterizes water-stressed fields through WDI maps with good spatial representativeness. Overall, this study provides a framework to generate weekly WDI maps quickly with readily available measurements. These water-demand maps will help water resource managers to reduce dependence on established drought indices and prioritize the specific regions/fields with high water demand for optimum water allocations to improve crop health and ultimately maximize water-use efficiency. En ligne : https://doi.org/10.1016/j.scitotenv.2022.155893 Permalink : https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=284562
