M
Maria Cristina Rulli
Researcher at Polytechnic University of Milan
Publications - 128
Citations - 6266
Maria Cristina Rulli is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Agriculture & Water resources. The author has an hindex of 37, co-authored 112 publications receiving 4460 citations. Previous affiliations of Maria Cristina Rulli include Instituto Politécnico Nacional.
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Journal ArticleDOI
Characterising the hydrological regime of an ungauged temporary river system: a case study
TL;DR: The methodology presented in this paper constitutes a useful tool for ecologists and water resource managers in the Water Framework Directive implementation process, which requires a characterisation of the hydrological regime and a ‘river type’ classification for all water bodies.
Journal ArticleDOI
Green roofs effects on the urban water cycle components
TL;DR: In this paper, a bucket model was developed to simulate a rainfall-runoff relationship for a single green roof, and the objective was modeling hydrological fluxes in relation to climate forcing, basic technology components and geometric characteristics of green roof systems.
Book ChapterDOI
Socio-Environmental Effects of Large-Scale Land Acquisition in Mozambique
TL;DR: In this paper, an in-depth analysis of each land deal from the standpoint of land fertility, water scarcity, distance from roads, rivers, and villages is presented, where the authors focus on the case of Mozambique, a country affected by intense large-scale land acquisition, malnourishment, and demographic growth.
Journal ArticleDOI
An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods
Maria Cristina Rulli,Renzo Rosso +1 more
TL;DR: In this paper, a stochastic rainfall generator and a deterministic rainfall runoff model are combined to provide accurate flood frequency prediction in the Bisagno River basin (Thyrrenian Liguria, N.W. Italy).
Journal ArticleDOI
D-RUSLE: a dynamic model to estimate potential soil erosion with satellite time series in the Italian Alps
Marco Gianinetto,Martina Aiello,Francesco Niccolo' Polinelli,Federico Frassy,Maria Cristina Rulli,Giovanni Ravazzani,Daniele Bocchiola,Davide Danilo Chiarelli,Andrea Soncini,Renata Vezzoli +9 more
TL;DR: In this paper, soil erosion is addressed as one of the main hydrogeological risks in the European Union, since the average annual soil loss rate exceeds the annual average formation rate.