A5054871368- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Impact of Light on Environment and Health
- Land Use and Ecosystem Services
- Fish Ecology and Management Studies
- Hydrology and Drought Analysis
- Hydrology and Sediment Transport Processes
- Water resources management and optimization
- Climate variability and models
- Freshwater macroinvertebrate diversity and ecology
- Urban Heat Island Mitigation
- Environmental DNA in Biodiversity Studies
- Transboundary Water Resource Management
- Hydrological Forecasting Using AI
- Remote Sensing and Land Use
- Water-Energy-Food Nexus Studies
- Environmental Monitoring and Data Management
- Plant Water Relations and Carbon Dynamics
- Urban Planning and Valuation
- Precipitation Measurement and Analysis
- Infrastructure Resilience and Vulnerability Analysis
- Microbial Community Ecology and Physiology
- Soil erosion and sediment transport
- Meteorological Phenomena and Simulations
- Urban Stormwater Management Solutions
University of Bologna
2016-2025
École Polytechnique Fédérale de Lausanne
2010-2013
Recent studies highlight linkages among the architecture of ecological networks, their persistence facing environmental disturbance, and related patterns biodiversity. A hitherto unresolved question is whether structure landscape inhabited by organisms leaves an imprint on networks. We analyzed, based pyrosequencing profiling biofilm communities in 114 streams, how features inherent to fluvial networks affect co-occurrence that microorganisms form these biofilms. Our findings suggest...
The causes of recent hydrological droughts and their future evolution under a changing climate are still poorly understood. Banking on 216-year river flow time series at the Po River outlet, we show that 2022 drought is worst event (30% lower than second worst, with six-century return period), part an increasing trend in severe occurrence. decline summer flows (-4.14 cubic meters per year), which more relevant precipitation decline, attributed to combination changes regime, resulting snow...
Abstract River floods claim thousands of lives every year, but effective and high‐resolution methods to map human exposure at the global scale are still lacking. We use satellite nightlight data prove that nocturnal lights close rivers consistently related flood damages. correlate economic losses caused by flooding events with nighttime find increasing nightlights associated damage intensification. Then, we analyze temporal evolution along river network all over world from 1992 2012 obtain a...
Abstract In this Commentary, we argue that it is possible to improve the physical realism of hydrologic models by making better use existing theory. We address following questions: (1) what are some key elements current theory; (2) how can those best be incorporated where they may missing in models; and (3) evaluate competing theories across scales locations? propose science would benefit from a model‐based community synthesis effort reframe, integrate, different explanations behavior,...
This study analyses the differences in significant trends magnitude and frequency of floods detected annual maximum flood (AMF) peak over threshold (POT) series, for period 1965–2005. Flood peaks are identified from European daily discharge data using a baseflow-based algorithm AMF series compared with those POT derived six different exceedence thresholds. The results show that more than magnitude. Spatially coherent patterns detected, which further investigated by stratifying into five...
Artificial intelligence can enhance our ability to manage natural disasters. However, understanding and addressing its limitations is required realize benefits. Here, we argue that interdisciplinary, multistakeholder, international collaboration needed for developing standards facilitate implementation.
[1] This paper addresses the signatures of catchment geomorphology on base flow recession curves. Its relevance relates to implied predictability features, which are central catchment-scale transport processes and ecohydrological function. Moving from classical curve analysis method, originally applied in Finger Lakes Region New York, a large set curves has been analyzed Swiss streamflow data. For these catchments, digital elevation models have precisely method aimed at geomorphic origins...
Abstract. Reproducibility and repeatability of experiments are the fundamental prerequisites that allow researchers to validate results share hydrological knowledge, experience expertise in light global water management problems. Virtual laboratories offer new opportunities enable these since they experimenters data, tools pre-defined experimental procedures (i.e. protocols). Here we present outcomes a first collaborative numerical experiment undertaken by five different international...
Abstract River networks play a key role in the spatial organization of human settlements. Both river and settlements have been found to exhibit regular self‐similar patterns, but little is known about generalized patterns embedded within networks. Here based on night light data, we find universal fractal structure at global scale, with both robust Hortonian scaling relationships extent statistically significant power law spectra area functions. Globally, consistent preferential downstream...
The human presence close to streams and rivers is known have consistently increased worldwide, therefore introducing dramatic anthropogenic environmental changes. However, a spatiotemporal detailed analysis missing date. In this paper, we propose novel method quantify the temporal evolution spatial distribution of along in their immediate proximity at global scale high-spatial resolution (i.e., nearly 1 km equator). We use satellite images nocturnal lights, available as yearly snapshots from...
We explore how to address the challenges of adaptation water resources systems under changing conditions by supporting flexible, resilient and low-regret solutions, coupled with on-going monitoring evaluation. This will require improved understanding linkages between biophysical social aspects in order better anticipate possible future co-evolution society. also present a call enhance dialogue foster actions governments, international scientific community, research funding agencies...
We run a comparative study of ecohydrological models streamflow probability distributions (pdfs), p ( Q ), derived by Botter et al. (2007a, 2009), against field data gathered in different hydrological contexts. Streamflows measured several catchments across various climatic regions northeastern Italy and the United States are employed. The relevance work stems from implied analytical predictive ability hydrologic variability, whose role on stream riparian ecological processes large‐scale...
Abstract Streamflow variability is a major determinant of basin‐scale distributions benthic invertebrates. Here we present novel procedure based on probabilistic approach aiming at spatially explicit quantitative assessment invertebrate abundance as derived from near‐bed flow variability. Although the proposed neglects ecological determinants other than hydraulic ones, it nevertheless relevant in view its implications predictability patterns organisms. In context, aquatic invertebrates are...
Abstract. The 2022 European drought has underscored critical deficiencies in water management. This paper explores these shortcomings and suggests a way forward for risk Data this study was gathered through continent-wide survey of managers involved event. collected 481 responses from 30 countries is comprised 19 questions concerning sectorial impact the 55 regions responders management practices their organizations. Information enriched with climate-related information to offer...
The temporal variability of streamflow is known to be a key feature structuring and controlling fluvial ecological communities ecosystem processes. Although alterations regime due habitat fragmentation or other anthropogenic factors are ubiquitous, quantitative understanding their implications on structure function far from complete. Here, by experimenting with two contrasting flow regimes in stream microcosms, we provide novel mechanistic explanation for how fluctuating may affect grazing...
Four of the largest river basins in Europe – Rhine, Rhône, Po, and Danube are fed by Alpine water resources. Recent hydrological extremes, including catastrophic floods prolonged droughts, have highlighted vulnerability these to climatic variability, with significant consequences for downstream populations, economies, ecosystems. Understanding potential drivers behind changes streamflow patterns, particularly relative contributions precipitation temperature, is essential...
Europe has been experiencing catastrophic floods. On October 19, 2024, the city of Bologna located in Emilia-Romagna region, central-northern Italy received 180 mm rainfall – its average for September and within just 24 hours, with an intensity typical summer thunderstorms. The region yet barely recovered from severe flooding landslides caused by Storm Boris 18-19, 2024. These recent events followed worst Emilia-Romagna's flood a century, May 2023, which resulted 17 deaths...
Abstract Characterizing the evolution of drought frequency and severity under anthropogenic global warming remains a key challenge because mismatch between length instrumental records long‐term variability features. To address this gap, we propose modeling framework that combines river flow observations, paleo‐hydrological reconstructions, climate model simulations. Such diversity information, is bridged in flexible approach, allows evaluating hazard hydrological droughts for any large...
ABSTRACT While measured streamflow is commonly used for hydrological model evaluation and calibration, an increasing amount of data on additional variables available. These have the potential to improve process consistency in modeling consequently predictions under change, as well data‐scarce or ungauged regions. Here, we show how these beyond are currently calibration. We consider storage flux variables, namely snow, soil moisture, groundwater level, terrestrial water storage,...
Confounding factors like urbanization and land-use change could introduce uncertainty to the estimation of global temperature trends related climate change. In this work, we a new way investigate nexus between temporal data at scale in period from 1992 2013. We analyze air recorded more than 5000 weather stations worldwide nightlight satellite measurements as proxy for urbanization. By means range statistical methods, our results quantify outline that evolution affects multiple spatial...
In the context of climate change, increasing competition for freshwater use across various sectors is intensifying pressures on water resources, placing many countries at heightened risk scarcity. To mitigate growing scarcity, it imperative to reduce usage intensity agriculture, industry, energy production, and domestic sectors. Achieving this requires a comprehensive detailed understanding consumption patterns in each sector, estimating storage groundwater, reservoirs, snowpack essential...
In a climate-changing world, flood events represent one of the most impactful natural hazards, causing severe damage to people and infrastructures. Railway systems are critical infrastructures, susceptible both structural service disruptions. This study leverages methodology capable identifying classifying paths along railway system that vulnerable fluvial hazard debris-flows. The adopted is DEM-based suitable for large-scale applications. We hereby focus on Italian Network (IRN) we consider...