N
Nadia Ounalli
Publications - 6
Citations - 74
Nadia Ounalli is an academic researcher. The author has contributed to research in topics: Land use & Sustainable development. The author has an hindex of 3, co-authored 5 publications receiving 64 citations.
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Journal ArticleDOI
Participatory Impact Assessment of Soil and Water Conservation Scenarios in Oum Zessar Watershed, Tunisia
Hannes J. König,Mongi Sghaier,Johannes Schuler,Mohamed Arbi Abdeladhim,Katharina Helming,Jean-Philippe Tonneau,Nadia Ounalli,Jacques Imbernon,Jake Morris,Hubert Wiggering +9 more
TL;DR: It is concluded that participatory impact assessment contributes to an enhanced regional understanding of key linkages between policy effects and sustainable development, which provides the foundation for improved policy decision making.
OtherDOI
Land degradation in the arid Jeffara Region, Tunisia.
Mongi Sghaier,Abdeladhim Mohamed Arbi,Jean Philippe Tonneau,Nadia Ounalli,Houcine Jeder,Muriel Bonin +5 more
Journal ArticleDOI
How Can Sewage Sludge Use in Sustainable Tunisian Agriculture Be Increased?
Nidhal Marzougui,Nadia Ounalli,Sonia Sabbahi,Tarek Fezzani,Farah Abidi,Sihem Jebari,Sourour Melki,Ronny Berndtsson,Walid Oueslati +8 more
TL;DR: In this article , the authors identify the problems related to the agricultural reuse of sludge in Beja and propose solutions to solve them, and the quality of the sludge produced by the five Beja WWTPs was assessed based on physicochemical and microbiological parameters.
OtherDOI
Critical analysis of land use policies
Muriel Bonin,Emilie Coudel,Y. Cissé,Shuyi Feng,P. Gicheru,Nina Novira,Nadia Ounalli,Seema Purushothaman,Saulo Rodrigues-Filho,Mongi Sphaier,Xiaoping Shi,Jean-Philippe Tonneau +11 more
Journal Article
Objectifs du millénaire pour le développement: réalisation et disparités régionales en Tunisie
TL;DR: In this article, the authors focus on the current state of sustainable development in Tunisia with a view to achieving the Millennium Development Goals (MDGs) and analyze preliminarily some spatial data applied to a set of development indicators by means of the principal components analysis method (PCA).