Post-fire Flooding Research Articles

Designing Post-Fire Flood Protection Techniques for a Real Event in Central Greece

Designing Post-Fire Flood Protection Techniques for a Real Event in Central Greece

Voluntary uptake of flood insurance in post-fire landscapes: insights from household surveys after two wildfires in northern Arizona

Wildfires can rapidly generate post-fire flood risk for downslope communities, complicating recovery and necessitating accelerated cross-boundary responses on both public and private lands. Flood insurance is one of a suite of efforts to minimize the social and financial impacts associated with post-fire flood events, but little is known about who purchases coverage after wildfires or their experiences with insurance claims. We provide an opportunistic contribution to this research gap by comparing data gathered via three mixed-mode household surveys conducted in areas with modeled flood risk after two wildfires in the greater Flagstaff, Arizona area. Two surveys were administered—one in 2011 and one in 2020—after the 2010 Schultz Fire, which resulted in significant flooding, providing a longitudinal insight into insurance experiences. A third survey was administered in 2022 following flooding adjacent to the 2019 Museum Fire. Together, these surveys resulted in a total of 1,351 usable responses. We find that several groups are significantly less likely to purchase flood insurance, including residents who moved to their property after the studied fire event and renters. The reported cost of flood insurance among households affected by the Schultz Fire doubled over a 10-year period; those who no longer maintained coverage typically reported that they stopped renewing between 2–5 years after the fire. Second homeowners were more likely to report damages that were not covered by insurance. We provide recommendations for engaging residents in uptake, renewal, and use of flood insurance and conclude that there is an urgent need to better understand decision-making surrounding post-fire flood insurance to support more equitable recovery.

Forest fire, thinning, and flood in wildland-urban interface: UAV and lidar-based estimate of natural disaster impacts

ContextWildland-urban interface (WUI) areas are facing increased forest fire risks and extreme precipitation events due to climate change, which can lead to post-fire flood events. The city of Flagstaff in northern Arizona, USA experienced WUI forest thinning, fire, and record rainfall events, which collectively contributed to large floods and damages to the urban neighborhoods and city infrastructure.ObjectivesWe demonstrate multi-temporal, high resolution image applications from an unoccupied aerial vehicle (UAV) and terrestrial lidar in estimating landscape disturbance impacts within the WUI. Changes in forest vegetation and bare ground cover in WUIs are particularly challenging to estimate with coarse-resolution satellite images due to fine-scale landscape processes and changes that often result in mixed pixels.MethodsUsing Sentinel-2 satellite images, we document forest fire impacts and burn severity. Using 2016 and 2021 UAV multispectral images and Structure-from-Motion data, we estimate post-thinning changes in forest canopy cover, patch sizes, canopy height distribution, and bare ground cover. Using repeat lidar data within a smaller area of the watershed, we quantify geomorphic effects in the WUI associated with the fire and subsequent flooding.ResultsWe document that thinning significantly reduced forest canopy cover, patch size, tree density, and mean canopy height resulting in substantially reduced active crown fire risks in the future. However, the thinning equipment ignited a forest fire, which burned the WUI at varying severity at the top of the watershed that drains into the city. Moderate-high severity burns occurred within 3 km of downtown Flagstaff threatening the WUI neighborhoods and the city. The upstream burned area then experienced 100-year and 200–500-year rainfall events, which resulted in large runoff-driven floods and sedimentation in the city.ConclusionWe demonstrate that UAV high resolution images and photogrammetry combined with terrestrial lidar data provide detailed and accurate estimates of forest thinning and post-fire flood impacts, which could not be estimated from coarser-resolution satellite images. Communities around the world may need to prepare their WUIs for catastrophic fires and increase capacity to manage sediment-laden stormwater since both fires and extreme weather events are projected to increase.

Representation of a Post-Fire Flash-Flood Event Combining Meteorological Simulations, Remote Sensing, and Hydraulic Modeling

Wildfires are an escalating global threat, jeopardizing ecosystems and human activities. Among the repercussions in the ecosystem services of burnt areas, there are altered hydrological processes, which increase the risks of flash floods. There is limited research addressing this issue in a comprehensive way, considering pre- and post-fire conditions to accurately represent flood events. To address this gap, we present a novel approach combining multiple methods and tools for an accurate representation of post-fire floods. The 2019 post-fire flood in Kineta, Central Greece is used as a study example to present our framework. We simulated the meteorological conditions that caused this flood using the atmospheric model WRF-ARW. The burn extent and severity and the flood extent were assessed through remote sensing techniques. The 2D HEC-RAS hydraulic–hydrodynamic model was then applied to represent the flood event, using the rain-on-grid technique. The findings underscore the influence of wildfires on flooding dynamics, highlighting the need for proactive measures to address the increasing risks. The integrated multidisciplinary approach used offers an improved understanding on post-fire flood responses, and also establishes a robust framework, transferable to other similar cases, contributing thus to enhanced flood protection actions in the face of escalating fire-related disasters.

An open-source workflow for scaling burn severity metrics from drone to satellite to support post-fire watershed management

Wildfires are increasing in size and severity across much of the western United States, exposing vulnerable wildland-urban interfaces to post-fire hazards. The Mediterranean chaparral region of Northern California contains many high sloping watersheds prone to hazardous post-fire flood events and identifying watersheds at high risk of soil loss and debris flows is a priority for post-fire response and management. Uncrewed Aerial Systems (UAS; aka drones) offer post-fire management teams the ability to quickly mobilize and survey burned areas with very high-resolution imagery (∼1 cm), facilitating emergency management and post-fire hazard assessment. However, adoption of this technology by hazard response teams may be hindered by complicated workflows for UAS data acquisition, image processing and analysis. We present an open-source workflow using mature Geographic Information Systems (GIS) software and Python packages in a Jupyter Notebook environment that guides users through classification of true-color UAS imagery to generate high resolution burn severity maps which can then be scaled across larger watersheds using Sentinel-2 normalized burn ratio (NBR) images. Soil burn severity classifications using a weighted brightness (WB) image and Char Index (CI) generated from UAS imagery were validated with in-situ data and random stratified points, resulting in the CI having the highest overall accuracy of 87.5%. CI also displayed a marginally stronger relationship over the WB with the post-fire Sentinel-2 NBR, R2 = 0.79 and R2 = 0.78 respectively. Our methods offer the unique opportunity to standardize GIS workflows, promoting replication through transparency, while improving the user's understanding of scientific GIS functionality.

Factors influencing flood risk mitigation after wildfire: Insights for individual and collective action after the 2010 Schultz Fire

Post-fire flooding is of significant concern in the U.S. Southwest, where burned areas can drastically alter local hydrology to increase the risk of floods and debris flows, posing new and dynamic flood risk to communities downslope that necessitate coordinated response across jurisdictional boundaries. However, limited research explores how residents in affected communities respond to post-fire flood risk, both individually and collectively. We address this need by exploring factors that may influence the uptake of individual and collective actions for post-fire flood mitigation after an extreme fire event. We conducted a mixed-mode survey of 1,804 households in Flagstaff, Arizona, within the 100-year modeled post-fire flood risk area created by the Schultz Fire in 2010. We received 407 completed questionnaires for a 22.6% response rate. Survey questions focused on mitigation actions, addressing community flood risk, and responsibility for post-fire management among other topics. We found that respondents most readily engage in temporary mitigation actions, such as sandbag placement, that require less time and lower financial commitment. Respondent mitigation actions were primarily influenced by their personal flood experience and risk perceptions, with concerns about longevity of flood risk prioritized above current risk levels. Those who participated in individual actions were more likely to participate in collective action and vice versa, indicating a close relationship between mitigation actions across scales. We provide implications for practitioners working in post-fire environments, with a focus on communication and outreach about flood risk that motivate resident action to facilitate shared responsibility and cross-jurisdictional management of post-fire flood risk.

Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey

Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey

Characterizing Divergent Experiences with the Same Wildfire: Insights from a Survey of Households in Evacuation, Postfire Flood Risk, and Unaffected Areas After the 2019 Museum Fire

Abstract Households can experience the same wildfire event differently depending on the kinds of risks posed to them, among other factors. These experiences can influence support or opposition for local forest management. We administered a mixed-mode survey to households across three distinct groups with different sources of risk associated with the 2019 Museum Fire in Flagstaff, Arizona: houses in the wildfire evacuation areas, houses in the postfire flood-risk area, and unaffected houses within the city limits. Survey responses from 787 respondents confirmed that households experienced the Museum Fire and its associated risks differently and revealed continued support for active forest management in the Flagstaff area. Experiences, trustworthiness of information, and support for specific forest management outcomes varied across our sample populations, indicating that tailored communication may be needed for households who experience different risk associated with the same event. We conclude with considerations for communicating with the public in postfire environments. Study Implications There are significant differences in perspectives and attitudes between directly and indirectly affected households that experienced the same wildfire, including varied trust in information sources and engagement in communication about wildfire and flood risk. Therefore, more targeted communication about wildfire and postfire risk and forest management that tailors outreach based on different household experiences is needed. Future efforts to investigate populations affected by wildfire should account for potentially diverse household experiences and consider how that may affect communication about forest management during windows of opportunity after wildfire events. Differentiating approaches to risk communication is particularly important during compound disasters (e.g., a flood that occurs within a wildfire-affected area) to ensure information is shared by the right outlet for a given population as risk sources begin to layer temporally.

Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards

Most wildfires are started by humans, however, geographic variation of potential ignition sources is not often explicitly accounted for in wildfire simulation modelling or risk assessments. In this study, we investigated how patterns of human and lightning ignitions can influence modelled fire simulations and demonstrate how these data can be used to assess post-fire flooding and sediment transport. We used historical ignition data (1992–2015) to characterize ignition patterns for thirteen mountain ranges in southern Arizona, United States, and developed FlamMap burn probability (BP) models for three scenarios: human ignition, lightning ignition, and random ignition. We then developed a watershed-scale case study assessing the impacts of ignition scenarios on post-fire hydrology using the KINEROS2 model that simulates runoff and erosion. BP models illustrated considerable differences in landscape fire risk between the three ignition scenarios. Results from the watershed model indicate the greatest impacts from the post-fire human ignition scenario, with a 10-fold increase in sediment discharge and four-fold increase in peak flow compared to pre-fire conditions. Our results show that consideration of ignition source and location is important for assessing fire risk, and our modelling approach provides a planning mechanism to identify locations most at risk to fire-induced flood hazards, where prevention and mitigation activities can be focused.

Temporal evolution of measured and simulated infiltration following wildfire in the Colorado Front Range, USA: Shifting thresholds of runoff generation and hydrologic hazards

Destructive flash floods and debris flows are a common menace following wildfire. The restoration of protection provided by forests from post-fire floods and debris flows depends on the recovery of infiltration and attendant reduction of infiltration-excess surface runoff generation. This work examines seven years of post-fire infiltration measurements and temporal relations fit to soil-hydraulic properties from the Colorado Front Range, USA, to assess infiltration recovery with increasing time since fire. Point-scale Green-Ampt simulations of infiltration across a full spectrum of rainfall events are used to evaluate infiltration changes and shifts in surface runoff generation thresholds with post-fire temporal recovery. Measured and simulated infiltration generally recovered monotonically with increasing time since fire. This indicates a reduced vulnerability to infiltration-excess runoff generation as time elapses, with the greatest risk in the first two years after the fire. The threshold for infiltration-excess runoff advances with increasing time to rainfall events with higher intensity and greater return intervals; by the third year after wildfire, only extreme events (30–100 year recurrence) generate surface runoff and by the fifth and seventh year even extreme rainfall events typically fail to generate surface runoff. Remotely-sensed vegetation indices indicate linked, or at least contemporaneous, recovery of understory vegetation and field-saturated hydraulic conductivity at this field site, suggesting coincident recovery of multiple hillslope properties impacting surface runoff generation. This work indicates the importance of coupled assessments of hillslope property recovery and stochasticity of high-intensity rainfall for flash flood and debris flow hazards arising from infiltration-excess runoff generation; these hazards likely shift to subsurface mechanisms with increasing time since fire. Post-fire hazard assessments using static hillslope properties could fail to predict flash floods and debris flows associated with infrequent extreme rainfall events that strike during the post-fire recovery period when hillslope properties are partially recovered.

Effectiveness of straw bale check dams at reducing post-fire sediment yields from steep ephemeral channels

Post-fire flooding and elevated sediment loads in channels can pose hazards to people and structures within the wildland-urban interface. Mitigation of these hazards is essential to protect downstream resources. Straw bale check dams are one treatment designed to reduce sediment yields in small ephemeral catchments (<2ha). This study investigated their effectiveness in five paired catchments burned at high severity during the 2010 Twitchell Canyon Fire in Utah. Rainfall, ground cover and hillslope erosion rates were also measured during the two-year study. Adjacent paired catchments were physically similar and ranged in size from 0.2 to 1.6ha across pairs. Within pairs, one catchment was an untreated control and the other treated at a rate of four straw bale check dams ha−1. High intensity rainfall, erodible soils and slow regrowth contributed to the observed high hillslope sediment yields (> 60Mgha−1). 1- and 2-yr I30 return period rain events early in the study quickly filled the straw bale check dams indicating the treatment did not statistically reduce annual sediment yields. First year annual sediment yields across all catchments were 19.6 to 25.7Mgha−1. Once the check dams were full, they had limited storage capacity during the second post-fire year, allowing 3.8 to 13.1Mgha−1 of sediment to pass over the check dams. The mean mass of sediment trapped by individual straw bale check dams was 1.3Mg, which allowed them to trap a mean of 5.9Mgha−1 of sediment at the given treatment rate. Straw bale check dams trapped <50% of the total mass delivered from catchments with efficiency decreasing over time. Increasing straw bale check dam treatment rate in stable channels may improve trap efficiency. Application of this treatment in areas with lower expected rainfall intensities and less erodible soils may be justifiable.

Formation of Post-Fire Water Repellent Layers on Nothofagus glauca (Hualo) Forests, After the Historical “Las Máquinas” Wildfire in South-Central Chile

The Chilean summer of 2017 was the worst wildfire season by far. Hundreds of wildfires burned a total of more than half a million hectares of forested land (native forests and forest plantations). A significant portion of the burned area was occupied by Hualo (Nothofagus glauca (Phil.) Krasser), a native forest species widely distributed in central Chile. Using the water-drop-penetration-time method, post-fire water repellency was evaluated at different depths (on the mineral soil surface and 5 mm below it) for a Hualo stand. Comparative data were obtained from a neighboring 11-year-old Monterrey pine (Pinus radiata D. Don) plantation. Both stands were located near Santa Olga, one of the towns that were totally consumed by the wildfire. A Chi-Square statistical analysis was used to determine significant differences among stands and soil depths. Results suggested that the abundant Hualo native forest species exhibited strong potentials to form fire-induced water repellent layers. Differences were mainly in depth between the two species. As wildfires in Chile are expected to increase in frequency and intensity, the authors strongly recommend post-fire flood control practices on Hualo-burned drainage areas located upstream from human settlements, as well as erosion and sediment control techniques to avoid post-fire desertification processes.

Recovery of small-scale infiltration and erosion after wildfires

AbstractWildfires naturally occur worldwide, however the potential disruption to ecosystem services from subsequent post-fire flooding and erosion often necessitates a response from land managers. The impact of high severity wildfire on infiltration and interrill erosion responses was evaluated for five years after the 2003 Hot Creek Fire in Idaho, USA. Relative infiltration from mini-disk tension infiltrometers (MDI) was compared to rainfall simulation measurements on small burned and control plots. Vegetation recovery was slow due to the severity of the fire, with median cover of 6-8% on burned sites after 5 years. Consequently, interrill sediment yields remained significantly higher on the burned sites (329-1200 g m-2) compared to the unburned sites (3-35 g m-2) in year 5. Total infiltration on the burned plots increased during the study period, yet were persistently lower compared to the control plots. Relative infiltration measurements made at the soil surface, and 1- and 3-cm depths were significantly correlated to non-steady state total infiltration values taken in the first 10 minutes of the hour-long rainfall simulations. Significant correlations were found at the 1-cm (ρ = 0.4-0.6) and 3-cm (ρ = 0.3-0.6) depths (most p-values &lt;0.001), and somewhat weaker correlations at the soil surface (ρ = 0.2-0.4) (p-values &lt;0.05 and up). Soil water repellency is often stronger below the soil surface after severe wildfire, and likely contributes to the reduced infiltration. These results suggest that relative infiltration measurements at shallow depths may be useful to estimate potential infiltration during a short-duration high-intensity storm and could be used as an input for post-fire erosion models.

Building small destination resilience to the impact of bushfire: A case study

Abstract This article draws on the findings of a recent study undertaken to investigate the impact of bushfire on the tourism economy of Harrietville, a small town in North East Victoria, Australia. The study had a particular focus on the impact of the ‘Harrietville Fire’ that burnt for 55 days in early 2013. While the fire did not actually cause a loss of lives or property within Harrietville, road access to the town was closed for effectively three months of 2013 due to both the fire and post-fire flooding. Informed by a visitor survey and in-depth interviews with diverse stakeholders, the Destination Sustainability Framework (DSF) was applied to reveal adaptations necessary for the town to minimise the economic effects of future fire events. The need for tourism planning and improved stakeholder communications emerged as key priorities. This article illustrates the application of the DSF in one small destination, explores the value of the framework in terms of bringing community perspectives on risk and recovery to the foreground, and provides insights that might be applied to similar small destinations in Australia reliant on nature-based attractions to underpin the tourism economy.

Hydrological modelling for flood forecasting: Calibrating the post-fire initial conditions

Summary Floods and forest fires are two of the most devastating natural hazards with severe socioeconomic, environmental as well as aesthetic impacts on the affected areas. Traditionally, these hazards are examined from different perspectives and are thus investigated through different, independent systems, overlooking the fact that they are tightly interrelated phenomena. In fact, the same flood event is more severe, i.e. associated with increased runoff discharge and peak flow and decreased time to peak, if it occurs over a burnt area than that occurring over a land not affected by fire. Mediterranean periurban areas, where forests covered with flammable vegetation coexist with agricultural land and urban zones, are typical areas particularly prone to the combined impact of floods and forest fires. Hence, the accurate assessment and effective management of post-fire flood risk becomes an issue of priority. The research presented in this paper aims to develop a robust methodological framework, using state of art tools and modern technologies to support the estimation of the change in time of five representative hydrological parameters for post-fire conditions. The proposed methodology considers both longer- and short-term initial conditions in order to assess the dynamic evolution of the selected parameters. The research focuses on typical Mediterranean periurban areas that are subjected to both hazards and concludes with a set of equations that associate post-fire and pre-fire conditions for five Fire Severity (FS) classes and three soil moisture states. The methodology has been tested for several flood events on the Rafina catchment, a periurban catchment in Eastern Attica (Greece). In order to validate the methodology, simulated hydrographs were produced and compared against available observed data. Results indicate a close convergence of observed and simulated flows. The proposed methodology is particularly flexible and thus easily adaptable to catchments with similar hydrometeorological and geomorphological features.

Rapid response tools and datasets for post-fire modeling: linking Earth Observations and process-based hydrological models to support post-fire remediation

Abstract. Preparation is key to utilizing Earth Observations and process-based models to support post-wildfire mitigation. Post-fire flooding and erosion can pose a serious threat to life, property and municipal water supplies. Increased runoff and sediment delivery due to the loss of surface cover and fire-induced changes in soil properties are of great concern. Remediation plans and treatments must be developed and implemented before the first major storms in order to be effective. One of the primary sources of information for making remediation decisions is a soil burn severity map derived from Earth Observation data (typically Landsat) that reflects fire induced changes in vegetation and soil properties. Slope, soils, land cover and climate are also important parameters that need to be considered. Spatially-explicit process-based models can account for these parameters, but they are currently under-utilized relative to simpler, lumped models because they are difficult to set up and require spatially-explicit inputs (digital elevation models, soils, and land cover). Our goal is to make process-based models more accessible by preparing spatial inputs before a fire, so that datasets can be rapidly combined with soil burn severity maps and formatted for model use. We are building an online database (http://geodjango.mtri.org/geowepp /) for the continental United States that will allow users to upload soil burn severity maps. The soil burn severity map is combined with land cover and soil datasets to generate the spatial model inputs needed for hydrological modeling of burn scars. Datasets will be created to support hydrological models, post-fire debris flow models and a dry ravel model. Our overall vision for this project is that advanced GIS surface erosion and mass failure prediction tools will be readily available for post-fire analysis using spatial information from a single online site.

Short-term post-wildfire dry-ravel processes in a chaparral fluvial system

Dry ravel, the transport of sediment by gravity, transfers material from steep hillslopes to valley bottoms during dry conditions. Following wildfire, dry ravel greatly increases in the absence of vegetation on hillslopes, thereby contributing to sediment supply at the landscape scale. Dry ravel has been documented as a dominant hillslope erosion mechanism following wildfire in chaparral environments in southern California. However, alteration after initial deposition is not well understood, making prediction of post-fire flood hazards challenging. The majority of Big Sycamore Canyon burned during the May 2013 Springs Fire leaving ash and a charred layer that covered hillslopes and ephemeral channels. Dry-ravel processes following the fire produced numerous deposits in the hillslope-channel transition zone. Field data focus on: 1) deposition from an initial post-wildfire dry-ravel pulse; and 2) subsequent alteration of dry ravel deposits over a seven-month period between September 2013 and April 2014. We quantify geomorphic responses in dry ravel deposits including responses during the one small winter storm that generated runoff following the fire. Field measurements document volumetric changes after initial post-wildfire deposition of sediment derived from dry ravel. Erosion and deposition mechanisms that occurred within dry-ravel deposits situated in the hillslope-channel transition zone included: 1) mobilization and transport of a portion or the entire deposit by fluvial erosion; 2) rilling on the surface of the unconsolidated deposits; 3) deposition on deposits via continued hillslope sediment supply; and 4) mass wasting that transfers sediment within deposits where surface profiles are near the angle of repose. Terrestrial LiDAR scanning point clouds were analyzed to generate profiles quantifying depth of sediment erosion or deposition over remaining dry ravel deposits after the first storm season. This study contributes to the understanding of potential effects of wildfire on fine sediment delivery to fluvial systems in chaparral ecosystems.

Evaluation of the post-fire erosion and flood control works in the area of Cassandra (Chalkidiki, North Greece)

We quantified morphological and hydrographical characteristics of two drainage basins (Chanioti and N. Skioni) on Cassandra peninsula of Chalkidiki (North Greece), and evaluated the effectiveness of post-fire flood and erosion control works. The drainage basins were chosen because of their severe damage by fire, post-fire potential for erosion and flood due to the steep relief, and the importance of the area for residential and tourism development. The first measures taken in the area after the fire were salvage cutting of burned trees, a total ban on grazing, and construction of three types of works, log erosion barriers (LEBs), log check dams and contour branch barriers. Almost all necessary post-fire works were completed in both catchments but many construction failures were recorded. Approximately 75 % of the LEBs and 45 % of the contour branch barriers functioned properly, while the remainder failed. Nearly 80 % of the log dams were sedimented to 0–20 % of the dam height, 14.3 % were 20–40 % filled and 5.9 % collapsed. Despite these failures, peak discharge declined by 10.5 % in Chanioti and 20.4 % in N. Skioni catchment. The main reasons for works failures were the rush of construction and the limited supervision of workers, which resulted in floods during the years that followed.

Rapid Response Tools and Datasets for Post-fire Erosion Modeling: Linking Remote Sensing and Process-based Hydrological Models to support Post-fire Remediation

Abstract. Post-fire flooding and erosion can pose a serious threat to life, property, and municipal water supplies. Increased peak flows and sediment delivery due to the loss of surface cover and fire-induced changes in soil properties are of great concern to both resource managers and the public. To respond to this threat, interdisciplinary Burned Area Emergency Response (BAER) Teams are formed to assess potential erosion and flood risks. These teams are under tight deadlines as remediation plans and treatments must be developed and implemented before the first major storms in order to be effective. One of the primary sources of information for making these decisions is a burn severity map derived from remote sensing data (typically Landsat) that reflects fire induced changes in vegetative cover and soil properties. Slope, soils, land cover, and climate are also important parameters that need to be considered when accessing risk. Many modeling tools and datasets have been developed to assist BAER teams, but process-based and spatially explicit empirical models are currently under-utilized compared to simpler, lumped models because they are both more difficult to set up and require spatially explicit inputs such as digital elevation models, soils, and land cover. We are working to facilitate the use of models by preparing spatial datasets within a web-based tool that rapidly modifies model inputs using burn severity maps derived from earth observation data. Automating the creation of model inputs facilitates the wider use of more accurate, process-based models for spatially explicit predictions of post-fire erosion and runoff.

Evaluation of the post-fire erosion and flood control works in the area of Cassandra (Chalkidiki, North Greece)

Evaluation of the post-fire erosion and flood control works in the area of Cassandra (Chalkidiki, North Greece)