DESIGN AND RESULTS OF AN AI-BASED FORECASTING OF AIR POLLUTANTS FOR SMART CITIES

This study analyses the basal sliding and the hydrological drainage of Baltoro Glacier, Pakistan. The surface velocity was characterized by a spring speed-up, summer peak, and fall speed-up. Snowmelt has the largest impact to the spring speed-up, summer velocity peak, and to the transition from inefficient to efficient drainage. Drainage from supraglacial lakes contributed to the fall speed-up. Increased summer temperatures will intensify the magnitude of melt water and thus surface velocities.

Early Warning Systems (EWS) promise to decrease the vulnerability of self-constructed (informal) settlements threatened by landslides. A living lab sought to develop an integrated EWS in a landslide exposed neighborhood in Medellín. Findings indicate that technical aspects can be manageable, lesser social and political dynamics. A resilient EWS for informal settlements has to achieve sufficient social and technical redundancy to maintain basic functionality in a reduced support scenario.

A new approach for the deployment of Early Warning Systems (EWSs) in landslide-prone areas is proposed. We combine data-driven landslide susceptibility mapping and population maps to identify high-risk locations. We estimate the cost of monitoring sensors and demonstrate that EWSs could be installed with a budget ranging from €5 to €41 per person in Medellín, Colombia. We provide recommendations for stakeholders and outlines the challenges and opportunities for successful EWS implementation.

Lightning, one of the major sources of nitrogen oxides in the atmosphere, contributes to the tropospheric concentration of ozone and to the oxidizing capacity of the atmosphere. In this work, we contribute to improving the estimation of lightning-produced nitrogen oxides in the Ebro Valley and the Pyrenees by using two different TROPOMI products and comparing the results.