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During the last two decades, the sub-Saharan region has experienced unusual floods that have differentially impacted the region. No official and precise data regarding flood damage and impacts on the population are available, and the magnitude of events are not easily evaluated. Most previous studies have investigated this new threat using data derived from local media sources or world disaster databases. The aim of this study was to provide the scientific community and policy makers with an updated and reliable referenced data source concerning floods in Niger between 1998 and 2015, at national, regional and sub-regional scales. Reliable information regarding floods was derived from the national official flood damage database (ANADIA DB) showing their impact on the country. During the investigated period, considerable numbers regarding flood impacts were found (about 4000 settlements and 1.7 million people were affected by floods). The analysis also indicates a sudden increase in flood impacts since 2010. Regions in the south-west (Tillabery, Dosso and Niamey district) are the most affected; however, this kind of risk involves the whole country, and some particularly vulnerable areas have been identified. A data modeling comprehensive framework based on remotely sensed rainfall (climate hazards group infrared precipitation with stations (CHIRPS)) and vegetation index (moderate resolution imagery spectroradiometer normalized difference vegetation index (MODIS NDVI)) datasets data along with census data were used to investigate which variables are most able to explain the recent and sudden Niger flood vulnerability detected at the departmental scale. Only a few statistically significant flood damage models were found (61 out of 297), due essentially to the non-linearity of the increase in damage time series compared to environmental and climatic trends. The population increase is the most significant variable at national level; however, at regional and sub-regional scales, different patterns provided evidence to identify local triggers for vulnerability.
Edoardo Fiorillo; Alfonso Crisci; Hassimou Issa; Giampiero Maracchi; Marco Morabito; Vieri Tarchiani. Recent Changes of Floods and Related Impacts in Niger Based on the ANADIA Niger Flood Database. Climate 2018, 6, 59 .
AMA StyleEdoardo Fiorillo, Alfonso Crisci, Hassimou Issa, Giampiero Maracchi, Marco Morabito, Vieri Tarchiani. Recent Changes of Floods and Related Impacts in Niger Based on the ANADIA Niger Flood Database. Climate. 2018; 6 (3):59.
Chicago/Turabian StyleEdoardo Fiorillo; Alfonso Crisci; Hassimou Issa; Giampiero Maracchi; Marco Morabito; Vieri Tarchiani. 2018. "Recent Changes of Floods and Related Impacts in Niger Based on the ANADIA Niger Flood Database." Climate 6, no. 3: 59.
Edoardo Fiorillo; Fabio Maselli; Vieri Tarchiani; Patrizio Vignaroli. Analysis of land degradation processes on a tiger bush plateau in South West Niger using MODIS and LANDSAT TM/ETM+ data. International Journal of Applied Earth Observation and Geoinformation 2017, 62, 56 -68.
AMA StyleEdoardo Fiorillo, Fabio Maselli, Vieri Tarchiani, Patrizio Vignaroli. Analysis of land degradation processes on a tiger bush plateau in South West Niger using MODIS and LANDSAT TM/ETM+ data. International Journal of Applied Earth Observation and Geoinformation. 2017; 62 ():56-68.
Chicago/Turabian StyleEdoardo Fiorillo; Fabio Maselli; Vieri Tarchiani; Patrizio Vignaroli. 2017. "Analysis of land degradation processes on a tiger bush plateau in South West Niger using MODIS and LANDSAT TM/ETM+ data." International Journal of Applied Earth Observation and Geoinformation 62, no. : 56-68.
Flood events are increasing year by year in the Sahel, mainly caused by climate and land use changes. New strategies and tools are necessary to optimize flooding risk reduction plans. This paper presents a new hydrological method (FREM, Flooding Risk Evaluation Method), based on the curve number runoff estimation. The method can be adopted for small-medium basins and is based on the integration of remote sensing techniques with field surveys and participatory mapping. It consists of preliminary identification of the areas and sub-basins that most contribute to the flood risk; scenarios can then be developed in order to: (i) optimize the placement of traditional water retention structures in the elementary sub-basins that contribute most to the overall risk, (ii) assess the contribution of each hydraulic structure to reduce the total risk, (iii) give a priority ranking to these structures identifying those most urgent. The main advantages of this method are that it is easy to use and can be implemented using free available land cover, soil and morphology data and open-source GIS (Geographic Information System) software. A case study for the Ouro Gueladjo basin (Tillabery Region, Niger) is presented.
Edoardo Fiorillo; Vieri Tarchiani. A Simplified Hydrological Method for Flood Risk Assessment at Sub-basin Level in Niger. Green Energy and Technology 2017, 247 -263.
AMA StyleEdoardo Fiorillo, Vieri Tarchiani. A Simplified Hydrological Method for Flood Risk Assessment at Sub-basin Level in Niger. Green Energy and Technology. 2017; ():247-263.
Chicago/Turabian StyleEdoardo Fiorillo; Vieri Tarchiani. 2017. "A Simplified Hydrological Method for Flood Risk Assessment at Sub-basin Level in Niger." Green Energy and Technology , no. : 247-263.
Background and Aims: The goal of this study was to investigate the relationships between NDVI values at different phenological stages and measurements of grape parameters at two different harvest dates. Methods and Results: The research was done on a Sangiovese vineyard in Central Italy. Over four seasons, airborne NDVI measurements acquired between June and August were related to grape parameters (yield per vine, pH, °Brix, anthocyanins and polyphenols) at technological harvest (H1) and two weeks later (H2). Correlations were higher at H1 and decreased at H2 with a different rate depending on the parameter. °Brix and pH correlations showed a moderate rate of variation between H1 and H2; bigger differences and a different inter‐annual dynamic were observed in anthocyanins and polyphenols between H1 and H2. Conclusions: The ability of NDVI to discriminate different grape classes was confirmed, but its efficacy substantially varies depending on the harvest date. These results suggest the existence, within the same vineyard, of different grape populations having specific timing and shape of ripening curve; as a consequence, distinct vigour zones of the vineyard show a different evolution of the content of grape parameters between the two harvests thus influencing the degree of correlation between grape quality and NDVI measurements. Significance of the Study: This is the first study in which harvest date has been considered for its influence on the predictive skill of RS. It therefore highlights not only the importance of spatial variation within the single vineyard, but also the importance of ripening dynamics.
E. Fiorillo; Alfonso Crisci; T. De Filippis; Salvatore Filippo Di Gennaro; S. Di Blasi; Alessandro Matese; J. Primicerio; F.P. Vaccari; Lorenzo Genesio. Airborne high-resolution images for grape classification: changes in correlation between technological and late maturity in a Sangiovese vineyard in Central Italy. Australian Journal of Grape and Wine Research 2012, 18, 80 -90.
AMA StyleE. Fiorillo, Alfonso Crisci, T. De Filippis, Salvatore Filippo Di Gennaro, S. Di Blasi, Alessandro Matese, J. Primicerio, F.P. Vaccari, Lorenzo Genesio. Airborne high-resolution images for grape classification: changes in correlation between technological and late maturity in a Sangiovese vineyard in Central Italy. Australian Journal of Grape and Wine Research. 2012; 18 (1):80-90.
Chicago/Turabian StyleE. Fiorillo; Alfonso Crisci; T. De Filippis; Salvatore Filippo Di Gennaro; S. Di Blasi; Alessandro Matese; J. Primicerio; F.P. Vaccari; Lorenzo Genesio. 2012. "Airborne high-resolution images for grape classification: changes in correlation between technological and late maturity in a Sangiovese vineyard in Central Italy." Australian Journal of Grape and Wine Research 18, no. 1: 80-90.