Factors Affecting Flood Disasters in Small Island Developing States and Potential Adaptation Measures: The Case of Funchal City,Portugal

This work highlights the evolution of flood disasters and their impacts upon environmental and socioeconomic aspects both worldwide and in Small Island Developing States (SIDS) in particular. For our research, we reviewed the stress factors affecting flood disasters and performed surveys of two focus groups in Funchal municipality on Madeira Island (Portugal). Our research identifies the main causes of the serious impacts that flash floods can have on Funchal city. These include:

• The occupation of floodplain areas,
• Canalization of water courses,
• Erosion and transport of soil from upstream hillslopes due to deforestation, and
• Intensive precipitation of long duration.

     

Stochastic Transfer Function Model and Neural Networks to Estimate Soil Moisture1

Abstract: A practical methodology is proposed to estimate the three‐dimensional variability of soil moisture based on a stochastic transfer function model, which is an approximation of the Richard’s equation. Satellite, radar and in situ observations are the major sources of information to develop a model that represents the dynamic water content in the soil. The soil‐moisture observations were collected from 17 stations located in Puerto Rico (PR), and a sequential quadratic programming algorithm was used to estimate the parameters of the transfer function (TF) at each station. Soil texture information, terrain elevation, vegetation index, surface temperature, and accumulated rainfall for every grid cell were input into a self‐organized artificial neural network to identify similarities on terrain spatial variability and to determine the TF that best resembles the properties of a particular grid point. Soil moisture observed at 20 cm depth, soil texture, and cumulative rainfall were also used to train a feedforward artificial neural network to estimate soil moisture at 5, 10, 50, and 100 cm depth. A validation procedure was implemented to measure the horizontal and vertical estimation accuracy of soil moisture. Validation results from spatial and temporal variation of volumetric water content (vwc) showed that the proposed algorithm estimated soil moisture with a root mean squared error (RMSE) of 2.31% vwc, and the vertical profile shows a RMSE of 2.50% vwc. The algorithm estimates soil moisture in an hourly basis at 1 km spatial resolution, and up to 1 m depth, and was successfully applied under PR climate conditions.     

Congruence Among Encounters,Norms, Crowding,and Management in a Marine Protected Area

Over the past few decades, recreation and tourism use has increased at many marine protected areas, generating concerns about impacts of this increasing use on experiences and conditions at these areas (e.g., crowding, conflict). This article uses data from Molokini Shoal Marine Life Conservation District in Hawai’i to examine: (a) reported encounters, crowding, normative tolerances for various use levels, and support of use related management strategies at this site; and (b) whether users who encounter higher use levels than their norms feel more crowded and are more supportive of restrictive management strategies. Data were obtained from onsite pre-trip and post-trip questionnaires of 712 passengers on commercial snorkel and dive tours visiting this site. Norms were measured with acceptance of 12 photographs depicting levels of boat use. On average, users would accept seeing no more than approximately 16 boats at one time at Molokini and this number was observed on over 20% of trips to the site. Although the majority of users expected to escape crowds at Molokini, 67% felt crowded and up to 79% supported actions that would directly restrict use at this site (e.g., limit number of boats). Users who encountered more boats than their normative tolerance felt more crowded and were more supportive of these management strategies. Findings suggest that this marine protected area is operating over its capacity and management is needed to improve experiences and conditions.