Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Mustapha Naimi"'
Publikováno v:
Sains Tanah: Journal of Soil Science and Agroclimatology, Vol 20, Iss 2, Pp 250-264 (2023)
This study examined the worsening severity of global droughts caused by climate change. However, the multiple definitions and varied range of drought indices pose challenges in effectively monitoring and assessing the prevalence and severity of droug
Externí odkaz:
https://doaj.org/article/c84d446ef8c04e7a8f9834e4a2ed42fe
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 10, Iss 4 (2022)
Le Rif Oriental souffre d’une dégradation accrue qui menace la pérennité de toutes ses ressources naturelles. Cependant, aucune donnée d’évaluation scientifique et précise de la dégradation n’est disponible à cette échelle. Pour ce fai
Externí odkaz:
https://doaj.org/article/ca679173272c46948f2b46531ac176e8
Autor:
Fatiha Choukri, Damien Raclot, Mustapha Naimi, Mohamed Chikhaoui, João Pedro Nunes, Frédéric Huard, Cécile Hérivaux, Mohamed Sabir, Yannick Pépin
Publikováno v:
International Soil and Water Conservation Research, Vol 8, Iss 2, Pp 141-153 (2020)
The objective of this study was to examine the impacts of climate and land use changes on water availability and sediment loads for a water supply reservoir in northern Morocco using data-intensive simulation models in a data-scarce region. Impacts w
Externí odkaz:
https://doaj.org/article/939d0ca63ec9480399c579ffa9d41765
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 294-303 (2019)
Local studies of climate change impact require high spatial resolution of climate predictions. Within ALMIRA research project, agronomists and hydrologists wish to integrate climate predictions into their models in order to characterize the behavior
Externí odkaz:
https://doaj.org/article/2639eac2a34c43af88c6857be4ad18ff
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 278-283 (2019)
This paper proposes an appraisal of costs produced by water erosion within arable lands strongly exposed to erosion in the catchment area of Tleta, located in the Rif, in the north of Morocco. Adopted methodology is inventive as allows to distinguish
Externí odkaz:
https://doaj.org/article/79ce193e558142cb956462cff9de809f
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 288-293 (2019)
Water erosion is a major process of soil degradation. In Morocco, it is regarded as the principal cause of desertification. It involves a reduction of the production potential of soils and as the silting of dam reservoirs leading to a loss of the amo
Externí odkaz:
https://doaj.org/article/04eed7a8e71c432b967a2cb2eb64bb86
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 343-351 (2019)
The natural fragility of the environment (relief with steep slopes, aggressive rain, fragile substrates) associated with human fragility (poverty, insecurity) lead to the development and the extension of soil degradation. Water erosion concerns all M
Externí odkaz:
https://doaj.org/article/756f6f704ece401eae883bee96893233
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 267-272 (2019)
In Morocco, the silting in dams represents a tricky problem for the country. The total annual value of silting is estimated to 75 million m3. One of the strategic reservoirs, which displays these severe problems, is the dam of Mohamed Ben Abdelkrim A
Externí odkaz:
https://doaj.org/article/91bde7f3146a4931b64165d5fe981894
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 363-370 (2019)
This study aims particularly to overcome the lack of rainfall measurements and to demonstrate the usefulness of open satellite data rainfall-erosivity estimation in Morocco. For this purpose, a short time series of two satellite products, namely CHIR
Externí odkaz:
https://doaj.org/article/6e80cf2adb9949d696d300509e52fa82
Publikováno v:
Revue Marocaine des Sciences Agronomiques et Vétérinaires, Vol 7, Iss 2, Pp 304-312 (2019)
SWAT Model (Soil and Water Assessment Tool) is a tool for simulating flows in the landscape, useful for guiding management and ground works within catchment areas. Accordingly, this model was tested to reproduce, on a daily times pan, water and sedim
Externí odkaz:
https://doaj.org/article/72220b10891148b3b6fd39e769302373