Ultrafine particles in four European urban environments: Results from a new continuous long-term monitoring network

A new coastal video monitoring system for Apulia region, southeast of Italy, is under development. It is composed of visible and thermal streams and featured to be included in a wider meteo-oceanographic monitoring network. The system is designed for use on sandy beaches. The regional Basin Authority (AdBP) through previous field campaigns has identified for long-term monitoring purposes two hotspots, prone to erosion and flooding: Torre Canne (Fasano, BR) and Torre Lapillo (Porto Cesareo, LE), facing the Adriatic and Ionian seas, respectively. This paper presents the actual architecture and some initial findings of its implementation aiming at a complete automatic analysis of morphological features and hydrodynamic studies, mainly focused in swash zone.

Download Full-text

Remote sensing data and field survey activities for monitoring the evolution of forest systems after coppicing and soil erosion: A case study in Sardinia (Italy)

10.5194/egusphere-egu2020-21354 ◽

2020 ◽

Author(s):

Filippo Giadrossich ◽

Antonio Ganga ◽

Sergio Campus ◽

Ilenia Murgia ◽

Irene Piredda ◽

...

Keyword(s):

Remote Sensing ◽

Soil Erosion ◽

Vegetation Indices ◽

Monitoring Network ◽

Remote Sensing Data ◽

Forest Stands ◽

Sensing Data ◽

Long Term Monitoring ◽

Term Monitoring

The practice of coppicing is debated in the literature for the risk factors associated with soil erosion. Although erosion experiments provide useful data for estimating the susceptibility to soil erosion, there are many open questions that cannot be solved in isolated experiments, but which can be assessed by activating a long-term monitoring process. In this way, it is possible to correctly frame the spatial and temporal scale of soil erosion in coppice forests.&#160;The aim of the work is to evaluate the effectiveness of the use of remote sensing data in combination with field data, for monitoring the evolution of forest stands interested by coppicing in relation to soil erosion.&#160;We have installed a long-term monitoring network for erosion estimation, while Sentinel-2C satellite data were used for the period 2016-2018. Starting from this dataset, a selection of vegetation indices was calculated and compared to the morphological and topographical parameters of the study area, as well as the above-ground data collected during field activities. Using the Canonical Correspondences Analysis (CCA) the relationships between the matrix of vegetation indices, topographic and vegetational parameters and the respective performances of this protocol have been explored in order to describe the evolution of the forest stands in the study area associated to soil losses.

Download Full-text

Reorganisation of a long-term monitoring network using moss as biomonitor for atmospheric deposition in Germany

Ecological Indicators ◽

10.1016/j.ecolind.2017.01.005 ◽

2017 ◽

Vol 76 ◽

pp. 194-206 ◽

Cited By ~ 10

Author(s):

Stefan Nickel ◽

Winfried Schröder

Keyword(s):

Atmospheric Deposition ◽

Monitoring Network ◽

Long Term Monitoring ◽

Term Monitoring

Download Full-text

An electrical sensor for long-term monitoring of ultrafine particles in workplaces

Journal of Physics Conference Series ◽

10.1088/1742-6596/304/1/012013 ◽

2011 ◽

Vol 304 ◽

pp. 012013 ◽

Cited By ~ 11

Author(s):

Timo Lanki ◽

Juha Tikkanen ◽

Kauko Janka ◽

Pekka Taimisto ◽

Matti Lehtimäki

Keyword(s):

Ultrafine Particles ◽

Long Term Monitoring ◽

Term Monitoring

Download Full-text

Fault tree analysis for data-loss in long-term monitoring networks

Water Science & Technology ◽

10.2166/wst.2009.427 ◽

2009 ◽

Vol 60 (4) ◽

pp. 909-915 ◽

Cited By ~ 4

Author(s):

J. Dirksen ◽

J. A. E. ten Veldhuis ◽

R. P. S. Schilperoort

Keyword(s):

Fault Tree ◽

Fault Tree Analysis ◽

Monitoring Network ◽

Limited Attention ◽

Monitoring Networks ◽

Data Loss ◽

Long Term Monitoring ◽

Data Yield ◽

Term Monitoring

Prevention of data-loss is an important aspect in the design as well as the operational phase of monitoring networks since data-loss can seriously limit intended information yield. In the literature limited attention has been paid to the origin of unreliable or doubtful data from monitoring networks. Better understanding of causes of data-loss points out effective solutions to increase data yield. This paper introduces FTA as a diagnostic tool to systematically deduce causes of data-loss in long-term monitoring networks in urban drainage systems. In order to illustrate the effectiveness of FTA, a fault tree is developed for a monitoring network and FTA is applied to analyze the data yield of a UV/VIS submersible spectrophotometer. Although some of the causes of data-loss cannot be recovered because the historical database of metadata has been updated infrequently, the example points out that FTA still is a powerful tool to analyze the causes of data-loss and provides useful information on effective data-loss prevention.

Download Full-text