Spatial Distribution of Flood Risk and Quality of Spatial Management: Case Study in Odra Valley, Poland

Risk Analysis ◽  
2014 ◽  
Vol 35 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Dorota Rucinska
Keyword(s):  
Spatial Distribution ◽  
Flood Risk ◽  
Spatial Management ◽  
Management Case Study

scholarly journals Development of Košice Region by Implementation of Environmental Projects in the Field of Water Management - Case Study

2014 ◽  
Vol 33 (4) ◽  
Author(s):  
Henrieta Pavolová ◽  
Adriana Csikósová ◽  
Tomáš Bakalár
Keyword(s):  
Water Management ◽  
Agricultural Production ◽  
Wastewater Treatment Plants ◽  
Environmental Issues ◽  
Environmental Benefits ◽  
Treated Wastewater ◽  
Management Case Study ◽  
Application Specific

AbstractThe development of the regions in Slovakia in recent years has significant disparities in both so-cio-economic as well as environmental issues, as evidenced by the eight environmentally polluted areas (these areas are highly urbanised with industrial agglomerations or intensive agricultural production).This article deals with a management system model of regional by implementation of projects in environmental field of water management with application-specific benefits and risks arising from the process of their implementation in relation to regional development. It analyses projects in the area of water management of one of the regions of Slovakia, KoŠice region in particular, in terms of connection to public water duct and sewer, identifes a strategy for development of the region and its socio-economic and environmental benefits based on the analysis of drinking water, the quan-tity and quality of treated wastewater through wastewater treatment plants (WTPs). It identifes the infuencing factors of benefits and risks and proposes procedure for solving at various stages.

Measuring and mapping the spatial distribution of the quality of life in a city: a case study in Nanjing

2016 ◽  
Vol 20 (1) ◽  
pp. 107-128 ◽  
Author(s):  
Fumei Gu ◽  
Yoshitsugu Hayashi ◽  
Fei Shi ◽  
Hao Zhang ◽  
Hirokazu Kato
Keyword(s):  
Quality Of Life ◽  
Spatial Distribution

scholarly journals Would Mothers Relax Their Degree of Selectivity for Supports Suitable for Egg-Laying When the Local Density of Conspecific Females Increases? A Case Study with Three Common Lepidopteran Leaf Miners

ISRN Zoology ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Jean Béguinot
Keyword(s):  
Spatial Distribution ◽  
Maternal Care ◽  
Local Density ◽  
Egg Laying ◽  
Average Quality ◽  
Leaf Miners ◽  
Leaf Mining

Selecting suitable supports for egg-laying, among host species and host individuals, as well as between leaves of various qualities within a preferred host, is a major component of prehatching maternal care in herbivore insects. This feature is especially important for those species having a tightly concealed larval stage, such as leaf miners. Yet, increasing density of neighbouring conspecific females may possibly induce ovipositing mothers to relax their degree of selectivity, so as to distribute their eggs more evenly among host leaves and reduce the risk of future scramble competition between larvae within a same leaf. We test this hypothetical prediction for three common leaf-mining moths: Phyllonorycter maestingella, Phyllonorycter esperella, and Tischeria ekebladella. The prediction was supported by none of the three tested species. This suggests that, in these tiny insect species, mothers are either unable to account for the local density of neighbouring conspecific females and/or they have no effective motivation to react accordingly. In addition, this also suggests that host individuals differing by the average quality of their leaves yet exert no differentiated attractivity towards mothers at a distance. In turn, this emphasizes the role of contingent factors in the patterns of spatial distribution of insects' densities.

scholarly journals Spatial distribution of interpolation uncertainity: Case study of isotherm map of Serbia (1991-2009)

2012 ◽  
Vol 92 (4) ◽  
pp. 31-50
Author(s):  
Milutin Pejovic ◽  
Branislav Bajat ◽  
Jelena Lukovic
Keyword(s):  
Monte Carlo Simulation ◽  
Spatial Distribution ◽  
Simulation Modeling ◽  
Kriging Interpolation ◽  
Geostatistical Methods ◽  
Method Of Evaluation ◽  
Product Maps ◽  
Mean Annual Air Temperature

More widely used geostatistical methods for modeling distributed phenomena requires the evaluation of the quality of the product (maps) obtained by their application. The method of evaluation of uncertainty i.e. quality of the map was described on the example of a map of mean annual air temperature in Serbia for the period from the years 1991 to 2009 that was obtained from a relatively small number of samples for the whole country area (110 meteorological stations). The uncertainty of the map, obtained by kriging interpolation was evaluated by applying a Monte Carlo simulation modeling method.

scholarly journals Ecological mapping and data quality assessment for the needs of ecosystem-based marine spatial management: case study Greek Ionian Sea and the adjacent gulfs

2012 ◽  
Vol 13 (2) ◽  
pp. 297 ◽  
Author(s):  
Y. ISSARIS ◽  
S. KATSANEVAKIS ◽  
M. PANTAZI ◽  
V. VASSILOPOULOU ◽  
P. PANAYOTIDIS ◽  
...  
Keyword(s):  
Human Activities ◽  
Spatial Information ◽  
Ionian Sea ◽  
Quality Of Data ◽  
Space Management ◽  
Goods And Services ◽  
Ecological Features ◽  
Spatial Management ◽  
Management Case Study

Mapping of ecosystem components (natural and socioeconomic) is a prerequisite for ecosystem-based marine spatial management (EB-MSM). To initiate the process of EB-MSM in the Greek Ionian Sea and the adjacent gulfs, the main relevant ecosystem components were mapped based on existing spatial information and expert judgment. The natural components mapped included habitat types and species targeted for conservation, according to national and European legislation and international agreements. Main human activities/pressures related to fisheries, aquaculture, tourism, and industry were also mapped. In order to assess the quality of data used to map ecosystem components and therefore take into consideration the inherent uncertainty, an assessment of 5 semi-quantitative data indicators based on a pedigree matrix was conducted. Through this qualitative approach we gained information related to the sources, acquisition and verification procedures, statistical properties, and temporal & geographical correlation, along with the collection process quality of the ecosystem components under study. A substantial overlapping between ecological features and human activities was identified, confirming the need for a well-planned approach to marine space management, in order to mitigate conflicts for marine resources and conserve marine ecosystems and their associated goods and services.

scholarly journals Incorporating Uncertainty of the System Behavior in Flood Risk Assessment—Sava River Case Study

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2676
Author(s):  
Toni Kekez ◽  
Snježana Knezić ◽  
Roko Andričević
Keyword(s):  
Flood Risk ◽  
Flood Event ◽  
Sources Of Uncertainty ◽  
Emergency Managers ◽  
Time Period ◽  
Safe Area ◽  
Sava River ◽  
Different Sources

This paper proposes a framework for evaluation of the sources of uncertainty that can disrupt the flood emergency response process. During the flood response, flood emergency managers usually choose between several decision options under limited available lead-time, but they are often compelled with different sources of uncertainty. These sources can significantly affect the quality of decisions related to adequate response and rapid recovery of the affected system. The proposed framework considers efficient identification, integration, and quantification of system uncertainties related to the flood risk. Uncertainty analysis is performed from a decision-maker’s perspective and focused on the time period near and during the flood event. The major scope of proposed framework is to recognize and characterize sources of uncertainty which can potentially appear within the behavior of the observed system. Using a Bayesian network approach, a model is developed capable for quantification of different sources uncertainty in respect to their particular type. The proposed approach is validated on the Sava River case study, in the area of the city of Slavonski Brod, following the destructive 2014 flood event. The results indicate that, despite improvements of structural measures, the weir failure can still cause flooding of the approximately 1 km2 of otherwise safe area, resulting in the increased flood risk.

scholarly journals Incorporating landscape metrics into invertebrate fisheries management: case study of the gooseneck barnacle in Asturias (N. Spain)

2016 ◽  
Vol 73 (6) ◽  
pp. 1570-1578 ◽  
Author(s):  
Antonella Rivera ◽  
Stefan Gelcich ◽  
Lucía García-Flórez ◽  
José Luis Acuña
Keyword(s):  
Fisheries Management ◽  
Landscape Metrics ◽  
Spatial Scales ◽  
High Quality ◽  
Market Values ◽  
Gooseneck Barnacle ◽  
Management Case Study ◽  
The Impact

Abstract Landscape components can affect all the important biological processes of invertebrate populations, including their harvest quality, yet they are rarely considered in fisheries management frameworks. Here, we explore landscape, economic and ecologic variables to demonstrate that landscape metrics can be a valuable component in the management of sessile invertebrate fisheries. We developed a map-derived model that links landscape variables with the quality of a fishing resource, using five topographical variables—coastal convexity, orientation, complexity, exposure, and distance from the coast—all but the latter were tested at 23 different spatial scales. The model was ground-truthed using the case study of the gooseneck barnacle fishery in Asturias (N. Spain). Distance from the coast, coastal convexity on a scale of 25 km and exposure on a scale of 1 km appear to be driving the quality of the resource. Our model can predict high-quality gooseneck barnacle fishing zones with 72% accuracy. Moreover, we used a 10-year time-series of gooseneck barnacle landings and sales to analyse the impact of quality on the fishery. Fishers have a bias towards harvesting high-quality gooseneck barnacles, which are sold at higher market values. Thus, quality directly affects landings and sales. Our results highlight the interest of incorporating landscape metrics in fisheries management to generate and support spatially explicit conservation and exploitation policies.

scholarly journals Geomorphology-based unit hydrograph models for flood risk management: case study in Brazilian watersheds with contrasting physiographic characteristics

2018 ◽  
Vol 90 (2) ◽  
pp. 1873-1890 ◽  
Author(s):  
SAMUEL BESKOW ◽  
GABRIELA S. NUNES ◽  
CARLOS R. DE MELLO ◽  
TAMARA L. CALDEIRA ◽  
LLOYD D. NORTON ◽  
...  
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Unit Hydrograph ◽  
Management Case Study
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