scholarly journals METHODOLOGICAL APPROACH FOR THE DELIMITATION OF “NO BATHING AREAS” IN MARINE COASTAL ZONES CLOSE TO THE OUTLETS OF NATURAL AND ARTIFICIAL WATER COURSES IN BASILICATA REGION, ITALY

2020 ◽  
Author(s):  
MICHELE GRECO ◽  
NICOLA UNGARO ◽  
GAETANO CARICATO ◽  
GIOVANNI MARTINO ◽  
LORENA DI GIUSEPPE ◽  
...  
Keyword(s):  
Methodological Approach ◽  
Coastal Zones ◽  
Basilicata Region ◽  
Water Courses ◽  
Artificial Water

scholarly journals Interrogating Climate Adaptation Financing in Zimbabwe: Proposed Direction

2021 ◽  
Vol 13 (12) ◽  
pp. 6517
Author(s):  
Innocent Chirisa ◽  
Trynos Gumbo ◽  
Veronica N. Gundu-Jakarasi ◽  
Washington Zhakata ◽  
Thomas Karakadzai ◽  
...  
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Climate Adaptation ◽  
Global Climate ◽  
Methodological Approach ◽  
Extreme Weather Events ◽  
Infrastructure Development ◽  
Low Carbon ◽  
Coastal Zones ◽  
Resource Base

Reducing vulnerability to climate change and enhancing the long-term coping capacities of rural or urban settlements to negative climate change impacts have become urgent issues in developing countries. Developing countries do not have the means to cope with climate hazards and their economies are highly dependent on climate-sensitive sectors such as agriculture, water, and coastal zones. Like most countries in Southern Africa, Zimbabwe suffers from climate-induced disasters. Therefore, this study maps critical aspects required for setting up a strong financial foundation for sustainable climate adaptation in Zimbabwe. It discusses the frameworks required for sustainable climate adaptation finance and suggests the direction for success in leveraging global climate financing towards building a low-carbon and climate-resilient Zimbabwe. The study involved a document review and analysis and stakeholder consultation methodological approach. The findings revealed that Zimbabwe has been significantly dependent on global finance mechanisms to mitigate the effects of climate change as its domestic finance mechanisms have not been fully explored. Results revealed the importance of partnership models between the state, individuals, civil society organisations, and agencies. Local financing institutions such as the Infrastructure Development Bank of Zimbabwe (IDBZ) have been set up. This operates a Climate Finance Facility (GFF), providing a domestic financial resource base. A climate change bill is also under formulation through government efforts. However, numerous barriers limit the adoption of adaptation practices, services, and technologies at the scale required. The absence of finance increases the vulnerability of local settlements (rural or urban) to extreme weather events leading to loss of life and property and compromised adaptive capacity. Therefore, the study recommends an adaptation financing framework aligned to different sectoral policies that can leverage diverse opportunities such as blended climate financing. The framework must foster synergies for improved impact and implementation of climate change adaptation initiatives for the country.

scholarly journals Discovering the Landscape by Cycling: A Geo-Touristic Experience through Italian Badlands

Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 291 ◽  
Author(s):  
Francesca Lugeri ◽  
Piero Farabollini
Keyword(s):  
Methodological Approach ◽  
Local Economy ◽  
Geographical Information ◽  
Gis Technology ◽  
The Public ◽  
Basilicata Region ◽  
Raising Awareness ◽  
Cultural Ecological ◽  
Geological Sciences ◽  
And Training

Today, more than ever, it is necessary to adopt an innovative approach to studying and educating the public about territorial sciences. The complex link connecting Earth and society has to be rediscovered, by raising awareness about environmental balances, resources, and risks. The best way, scientifically and culturally, to tackle the problem of sustainable development, is to adopt a methodological approach that includes the fundamental elements of communication, public education and training. Geotourism is a modern and powerful way of informing the general public about geological sciences. Landscape ecology offers new approaches in the field of scientific research, while on the socio-political front, the European Landscape Convention ratifies its essential functions on the cultural, ecological, environmental and social levels. Geographical information system (GIS) technology provides us with powerful communicative tools, suitable for creative and flexible use. We will examine the geo-touristic potential of the “Calanchi” (Badlands) areas in Basilicata region, particularly significant since it is representative of the socio-environmental balance of the territory. An original integration between the landscape, cycling and tourism offers new perspectives on the local economy.

scholarly journals Issues and Strategies for the Conservation of the Artificial Water System in Hongcun, China

2019 ◽  
Vol 63 ◽  
pp. 04001
Author(s):  
Tingshen Li
Keyword(s):  
Cultural Landscapes ◽  
Methodological Approach ◽  
Water System ◽  
Chinese Government ◽  
Local Conservation ◽  
Conservation Policies ◽  
Historic Centre ◽  
The Village ◽  
Artificial Water

Since 2012, the Chinese Government has proposed the preservation concept of the “Traditional Village” in order to conserve the heritage of historic centres at the village-scale throughout China, which are being profoundly influenced by modernization. However, subject to the limitations of awareness levels, the conservation of the “Traditional Village” only focuses on the historic buildings within the Historic Centre and, there is a lack of focus on equally valuable cultural landscapes, open spaces and environments. Hongcun Traditional Village has been chosen as the case study of this paper and focuses on the conservation of its remarkable artificial water systems. The paper discusses the impacts and issues caused by the local conservation policies and practical interventions on Hongcun’s artificial water system over the last 20 years. The paper concludes by proposing a provisional methodological approach and treatment solutions for the conservation of Hongcun’s artificial water system, which is largely based on learning from European experiences.

scholarly journals Syntaxonomy and Ecology of Black Alder Vegetation in the Southern Part of Central Slovakia

Hacquetia ◽  
2011 ◽  
Vol 10 (2) ◽  
pp. 119-136 ◽  
Author(s):  
Michal Slezák ◽  
Richard Hrivnák ◽  
Anna Petrášová
Keyword(s):  
Environmental Gradients ◽  
Ecological Data ◽  
Data Set ◽  
Total N ◽  
Black Alder ◽  
Alder Forest ◽  
Ecological Features ◽  
Forest Sites ◽  
Water Courses ◽  
Artificial Water

Syntaxonomy and Ecology of Black Alder Vegetation in the Southern Part of Central Slovakia The study presents phytosociological and ecological data from azonal black alder forest sites in the southern part of central Slovakia. A data set of 29 relevés was collected by authors in vegetation season 2010 following the standard Braun-Blanquet approach. Numerical classification was performed to delimit the main vegetation types, while statistical analyses were applied to explain the vegetation-environmental relationships. Three associations within two classes were distinguished using a TWINSPAN algorithm. Carici elongatae-Alnetum glutinosae Schwickerath 1933 is an alder carr forest occurring on waterlogged soils in spring fed areas and alluvial zones along rivers. Carici acutiformis-Alnetum glutinosae Scamoni 1933 represents an alder carr forest on habitats with stagnant or slowly flowing water along water courses and artificial water reservoirs. Mesic to humid stands along small brooks are typical for the riparian alder vegetation of Stellario-Alnetum glutinosae Lohmeyer 1957. A detailed description of the floristic and ecological features of these associations is presented. The major environmental gradients affecting variation in species composition of these communities were interpreted as a response of vegetation to soil moisture and nutrient availability regarding the Ellenberg indicator values (moisture and nutrients) and measured variables (total N and C).

scholarly journals Drivers of harmful algal blooms in coastal areas of Eastern Mediterranean: a machine learning methodological approach

2021 ◽  
Vol 18 (5) ◽  
pp. 6484-6505
Author(s):  
Androniki Tamvakis ◽  
◽  
George Tsirtsis ◽  
Michael Karydis ◽  
Kleanthis Patsidis ◽  
...  
Keyword(s):  
Machine Learning ◽  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Eastern Mediterranean ◽  
Methodological Approach ◽  
Algal Species ◽  
Predictive Performance ◽  
Machine Learning Techniques ◽  
Coastal Zones ◽  
Abiotic Variables

<abstract> <p>Harmful algal species are present in the Mediterranean Sea and are often associated with toxic events affecting the nearby coastal zones. The presence of 18 marine microalgae, at genus level, associated with potentially harmful characteristics was predicted using a number of machine learning techniques based exclusively on a small set of abiotic variables, already identified as drivers of blooms. Random Forest (RF) algorithm achieved the best predictive performance by correctly identifying the presence of most genera with a mean of 89.2% of total samples. Although, RF has shown lower predictive performance for genera present in a low number of samples, its predictive power remains at least "fair' in these cases. The main tree-based advantage of RF was thereafter used to assess the importance of the input variables in predicting the presence of the algal genera. Temperature had the most powerful effect on genera's presences, although this effect varies among genera. Finally, the genera were clustered based on their response to the considered abiotic variables and common trends in an ecological context were identified.</p> </abstract>

Of Frames and Cultures - A Cross-Cultural Comparison of TV Newscasts

2006 ◽  
Vol 18 (4) ◽  
pp. 160-173 ◽  
Author(s):  
Maria Senokozlieva ◽  
Oliver Fischer ◽  
Gary Bente ◽  
Nicole Krämer
Keyword(s):  
Content Analysis ◽  
Arab World ◽  
Methodological Approach ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Explorative Study ◽  
Cross Cultural Comparison ◽  
Tv News ◽  
The Usa ◽  
The Relationship

Abstract. TV news are essentially cultural phenomena. Previous research suggests that the often-overlooked formal and implicit characteristics of newscasts may be systematically related to culture-specific characteristics. Investigating these characteristics by means of a frame-by-frame content analysis is identified as a particularly promising methodological approach. To examine the relationship between culture and selected formal characteristics of newscasts, we present an explorative study that compares material from the USA, the Arab world, and Germany. Results indicate that there are many significant differences, some of which are in line with expectations derived from cultural specifics. Specifically, we argue that the number of persons presented as well as the context in which they are presented can be interpreted as indicators of Individualism/Collectivism. The conclusions underline the validity of the chosen methodological approach, but also demonstrate the need for more comprehensive and theory-driven category schemes.

A novel methodological approach to systematically analyse pandemic influenza response programs within health systems

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
A Ahmad ◽  
R Krumkamp ◽  
S Mounier-Jack ◽  
R Reintjes ◽  
R Coker
Keyword(s):  
Health Systems ◽  
Pandemic Influenza ◽  
Methodological Approach

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

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