Khenifra is no longer a modest city by its history and nature. The natural and cultural heritages constitute a special base of growth and prosperity on which territorial development must be founded. However, the abundance and diversity of these existing touristic sites in the province of Khenifra are in need for concrete initiatives of evaluation, empowerment and exploitation, especially those of historic and natural values. The exploitation of this patrimonial wealth is contingent on touristic animation though. However, the sector of tourism is still marginal and has no connection with the economic activities in Khenifra, because it is still confronted with the poor management of heritage. The paper proposes a conceptual framework for the evaluation of the cultural heritage as a pivotal element in sustained development and good governance in the region of Khenifra, based on the analysis of existing literature review and descriptive data. Descriptive results listed that most of the important patrimonial sites are poorly governed and marginalized; therefore, they are not contributing to the touristic attractiveness and economic prosperity of the region.
This study aimed to assess landslide susceptibility in the Sahla watershed in northern Morocco. Landslides hazard is the most frequent phenomenon in this part of the state due to its mountainous precarious environment. The abundance of rainfall makes this area suffer mass movements led to a notable adverse impact on the nearby settlements and infrastructures. There were 93 identified landslide scars. Landslide inventories were collected from Google Earth image interpretations. They were prepared out of landslide events in the past, and future landslide occurrence was predicted by correlating landslide predisposing factors. In this paper, landslide inventories are divided into two groups, one for landslide training and the other for validation. The Landslide Susceptibility Map (LSM) is prepared by Logistic Regression (LR) Statistical Method. Lithology, stream density, land use, slope curvature, elevation, topographic wetness index, slope aspect, and slope angle were used as conditioning factors. The Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) was employed to examine the performance of the model. In the analysis, the LR model results in 96% accuracy in the AUC. The LSM consists of the predicted landslide area. Hence it can be used to reduce the potential hazard linked with the landslides in the Sahla watershed area in Rif Mountains in northern Morocco.
In the Rif region in northern Morocco, the degradation of the environment exposes the soil to aggressive erosion agents, especially in the Mediterranean climate in which the evacuation of 2000 tons of soil per km2 per year is a basic average. In these difficult environments is necessary to manage the resource effectively by anticipation the situations of dry and wet years. Several development programs have been carried out in the Rif zone since 1960s and the problem persists, especially with the arrival of the new agriculture of Cannabis (Drug) in 1995 in the southern part of the study area which is characterized by its precarious environmental balance. This paper aims to examine the aspects of soil degradation and analyse the failure factors of the management programs and projects have been conducted by several national and international stakeholders including EU and UN.
The development programs have been carried out to deal with the degradation
phenomena since 1960 in Rif Mountains in northern Morocco. These conservation and
preservation projects of natural resources implemented using either mechanical or
biological techniques. The objective of this text is to evaluate the strategy undertaken
for water and soil conservation to curb poor land-use practices and to assess the
investment in water and soil conservation actions adopted the administrative approach
that does not involve the locals by encouraging their effective participation in the
identification, formulation, programming, execution, and monitoring of the actions to be
carried out.
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