IMPROVING YIELD OF VEGETABLES BY USING SOILLESS MICRO-GARDEN TECHNOLOGIES IN PERI-URBAN AREA OF NORTH-EAST BRAZIL

2007 ◽  
pp. 57-65 ◽  
Author(s):  
G. Gianquinto ◽  
F. Orsini ◽  
N. Michelon ◽  
D.F. da Silva ◽  
F.D. de Faria
Keyword(s):  
Urban Area ◽  
North East

scholarly journals Home range areas of koalas in an urban area of north-east New South Wales

2014 ◽  
Vol 36 (1) ◽  
pp. 74 ◽  
Author(s):  
Ross L. Goldingay ◽  
Barbara Dobner
Keyword(s):  
Home Range ◽  
Urban Area ◽  
Urban Areas ◽  
Tree Planting ◽  
Home Ranges ◽  
Minimum Convex Polygon ◽  
Phascolarctos Cinereus ◽  
North East ◽  
South Wales ◽  
Primary Habitat

Conserving wildlife within urban areas requires knowledge of habitat requirements and population processes, and the management of threatening factors. The koala (Phascolarctos cinereus) is one species that is adversely affected by urban development. Sick and injured koalas in the Lismore urban area are regularly taken into care. We radio-tracked koalas released from care in order to estimate home-range areas and to determine their fate. Koalas were tracked for periods of 90–742 days; 7 of 10 survived for a period of at least one year. Home ranges defined by the minimum convex polygon (MCP100%) were large (mean ± s.e. = 37.4 ± 8.2 ha). Analysis using the 95% Fixed Kernel revealed home-range areas of 8.0 ± 1.7 ha. Analysis of the habitat composition of each MCP home range showed that they included 4.3 ± 0.9 ha of primary habitat (dominated by their primary food trees). These home ranges contained 27.6 ± 6.8 ha of non-habitat (cleared or developed land). Koalas crossed roads within their home ranges at least 5–53 times; one crossed the Bruxner Highway near a roundabout at least 32 times over his 2-year tracking period. Future management should include strategic food tree planting that enhances habitat connectivity and minimises the risk of car strike or dog attack.

Location and neighbourhood conditions for housing choice and its rental value

2017 ◽  
Vol 10 (4) ◽  
pp. 519-538 ◽  
Author(s):  
Utpal Kumar De ◽  
Vitsosie Vupru
Keyword(s):  
Urban Area ◽  
Structural Characteristics ◽  
House Price ◽  
Hedonic Pricing ◽  
Series Data ◽  
Housing Choice ◽  
Content Type ◽  
North East India ◽  
North East ◽  
Practical Implications

Purpose The purpose of the study is to understand the relative impacts of structural characteristics of house, its locational attributes and neighbourhood characteristics on the choice of house and the rent paid by the individual tenants. The micro level study helps in understanding the issues of urban housing and help in policy formulation. Design/methodology/approach This paper tried to identify the socio-economic, locational and neighbourhood factors that influence tenant households in determining their residential choices in an urban area of North-east India. Also, the extent of impacts of those characteristics on the monthly rent for housing is analysed. The analysis is based on the primary data collected from the sample residents of Dimapur Town in Nagaland. The sample units are selected by cluster sampling technique from all the wards. Regression technique is used under hedonic pricing technique to examine the impacts of various potential factors on the rent. Findings The analysis reveals that family size, income, education of the head of family, water availability, security, convenience to access workplace, road conditions, etc. have significant positive impacts on the monthly rent. However, the impacts of some locational and neighbourhood variables vary across social and economic groups. Research limitations/implications Time series data on the growth of house price are not available, so that the authors could examine the escalation of house price and rising scarcity of houses in the selected town. Practical implications Rental housing accounts for a significant percentage of housing in many urban centres. It is particularly important for the migrants and urban poor for whom it is the only source of accommodation. Location choice depending on capability, availability, requirement and neighbourhood conditions are integral parts of selection of accommodation in a city. Hence the present study has its relevant practical implications. Social implications Housing choice in a hilly urban area like Dimapur assumes a special significance for the presence of heterogeneous ethnic, social and cultural groups with majority of Tribal inhabitants with varied requirements and lifestyle. Originality/value No study on housing choice or pricing of residential accommodation has been done in North-East India. Here along with the socio-economic characteristics of the individuals, structural characteristics of house, neighbourhood and locational characteristics are used simultaneously to find out the impact of various factors on the total prices through hedonic pricing method.

scholarly journals FRI0442 APPROPRIATE USE OF SEROLOGY TESTS FOR THE DIAGNOSIS OF LYME DISEASE. EXPERIENCE IN AN URBAN AREA

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 819.2-819
Author(s):  
D. Lobo Prat ◽  
L. Sainz Comas ◽  
V. Pomar ◽  
A. M. Millán Arciniegas ◽  
H. Park ◽  
...  
Keyword(s):  
Lyme Disease ◽  
Urban Area ◽  
Rural Areas ◽  
Erythema Migrans ◽  
Clinical Manifestations ◽  
Serological Tests ◽  
Potential Exposure ◽  
North East ◽  
History Of ◽  
Serology Test

Background:Lyme disease (LD) is a multisystemic animal-borne disease caused by spirochetes of theBorrelia burgdorferi s.lcomplex and transmitted by ticks of the speciesIxodes ricinus. In Spain, most cases occur in rural areas of the north-east region with a peak of maximum incidence between spring and early autumn. The diagnosis is based on a history of potential exposure to ticks, the recognition of characteristic clinical manifestations and serological testing.Objectives:To assess the suitability of serological study for the diagnosis of LD in an urban area.Methods:Retrospective observational study that included all LD serology tests made between April 2017 and September 2019 at a tertiary hospital in Barcelona covering a population of 450,000 people. Demographic data and the medical department that requested the serology test were collected along with serology test results. The medical records of patients with positive serology were consulted to identify which patients were finally diagnosed with LD along with their clinical manifestations, treatment and outcome.Results:A total of 574 serological tests were included and 78 (13.59%) of them were positive. Only 1.04% (6) of all serological tests belonged to patients finally diagnosed with LD. The department that made most requests was Neurology (37.3%) followed by Infectious Diseases (21%), Internal Medicine (14.5%), Emergency Medicine (4.7%), Dermatology (4.5%), Critical Care Medicine (2.3%) and Rheumatology (2.1%). 50% of the diagnosed patients were women with a mean age of 57.7±7.7DE years. In 50% of diagnosed cases, patients remembered a tick bite during activities in the mountain or rural areas. The most common clinical manifestations were erythema migrans (67%), non-inflammatory arthralgias (50%), fatigue and malaise (67%), together with one case of meningoencephalitis and one of knee monoarthritis. All diagnosed patients received antibiotic treatment with ceftriaxone (33%) or doxycycline (66%). Only one patient presented post-Lyme syndrome.The serological test for LD in our center had a total individual cost of 15.75 eur, so the cost of the 574 requests was 9,040.5 eur. 7,812 eur corresponded to negative results and 1,134 eur to false positive results.Conclusion:Our study indicates the overuse of diagnostic testing for LD with implications for patient care and cost-effective health management. In the absence of a history of potential exposure to infected vector ticks or characteristic clinical manifestations, unnecessary microbiological tests should not be performed.Disclosure of Interests:David Lobo Prat: None declared, Luís Sainz Comas: None declared, Virginia Pomar: None declared, Ana Milena Millán Arciniegas: None declared, HyeSang Park: None declared, Andrea García-Guillén: None declared, Sicylle Jeria: None declared, Ana Laiz: None declared, Berta Magallares: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, Patricia Moya: None declared, Cesar Díaz-Torné: None declared, Susana P. Fernandez-Sanchez: None declared, Hector Corominas: None declared

scholarly journals Mapping Contaminant Plume at a Landfill in a Crystalline Basement Terrain in Ouagadougou, Burkina Faso, Using Self-Potential Geophysical Technique

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1212
Author(s):  
Abdoul Azize Barry ◽  
Suzanne Yameogo ◽  
Meryem Ayach ◽  
Meryem Jabrane ◽  
Abdessamad Tiouiouine ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Urban Area ◽  
Household Waste ◽  
Spontaneous Potential ◽  
North East ◽  
The North ◽  
Crystalline Bedrock ◽  
Water Tables ◽  
Borehole Water ◽  
Self Potential

The delineation of pollution plumes generated by household waste landfills is not easy, particularly in the case of discontinuous or intricately extending water tables, such as those developed in a fractured crystalline bedrock context. In Ouagadougou (Burkina Faso), there are many uncontrolled landfills throughout the urban area. The water table, generally located between 3 and 10 m deep, is likely to be contaminated by the leachate from these landfills. More than 1000 measurements of spontaneous potential (self-potential), referenced by GPS, have been carried out on a landfill and its immediate surroundings to the south of the urban area. The geostatistical processing by analysis of variograms and correlograms highlights an adapted prospecting technique and reliable cartography. The response seems to be mainly due to the electrochemical component with hot spots within the landfill and a plume heading towards the North-East. The distribution of the spontaneous potential seems to be controlled, not by the topography of the site, but by the fracturing of the mother rock of dominant direction 15° N, and by the mother rock/saprolite contact. Thus, the plume does not flow to the market gardening just below the landfill but rather to a residential area where monitoring of the quality of the borehole water is required.

scholarly journals Applying Multi-Index approach from Sentinel-2 Imagery to Extract Urban Area in dry season (Semi-Arid Land in North East Algeria)

2020 ◽  
pp. 89
Author(s):  
K. Rouibah ◽  
M. Belabbas
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Bare Soil ◽  
Dry Season ◽  
Spectral Indices ◽  
Multi Index ◽  
North East ◽  
Sensing Applications ◽  
Semi Arid ◽  
Sentinel 2

<p>The mapping of urban areas mostly presents a big difficulty, particularly, in arid and semi-arid environments. For that reason, in this research, we expect to increase built up accuracy mapping for Bordj Bou Arreridj city in semi-arid regions (North-East Algeria) by focusing on the identification of appropriate combination of the remotely sensed spectral indices. The study applies the ‘k–means’ classifier. In this regard, four spectral indexes were selected, namely normalized difference tillage index (NDTI) for built-up, and both bare soil index (BSI) and dry bare-soil index (DBSI), which are related to bare soil, as well as the normalized difference vegetation index (NDVI). All previous spectral indices mentioned were derived from Sentinel-2 data acquired during the dry season. Two combinations of them were generated using layer stack process, keeping both of NDTI and NDVI index constant in both combinations so that the multi-index NDTI/BSI/NDVI was the first single dataset combination, and the multi-index NDTI/DBSI/NDVI as the second component. The results show that BSI index works better with NDTI index compared to the use of DBSI index. Therefore, BSI index provides improvements: bare soil classes and built-up were better discriminated, where the overall accuracy increased by 5.67% and the kappa coefficient increased by 12.05%. The use of k-means as unsupervised classifier provides an automatic and a rapid urban area detection. Therefore, the multi-index dataset NDTI/ BSI / NDVI was suitable for mapping the cities in dry climate, and could provide a better urban management and future remote sensing applications in semi-arid areas particularly.</p>

Cultivated Lands within Urban Area

2013 ◽  
pp. 143-157
Author(s):  
G. Mauro
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Suburban Areas ◽  
North East ◽  
The North ◽  
Relevant Role ◽  
Agricultural Areas ◽  
The City ◽  
The Town

Several studies put in evidence the relevant role of cultivated lands in the urban areas. Using GIS methodologies in order to map agricultural areas near or within the town, it is possible to analyze their relationship with the urban area. In this study, the author used several different cartography sources, like digital cartography and orthophotos, in order to locate the urban domestic gardens and the terraced landscapes accurately. The study area is a medium city of a North-East Region of Italy, Trieste. Built on a hill morphology, it had a great and fast growth in the 19th and 20th centuries. These changes deeply transformed its landform, mainly reducing its surrounding cultivated lands. At present, the residual terraced landscapes are mainly placed in the north side of the city and they represent a kind of “cultural heritage.” On the contrary, the most important garden areas are located in the terrain embankments of the south suburban areas.

scholarly journals Spatial patterns of snake diversity in an urban area of north-east Brazil

2019 ◽  
pp. 274-281
Author(s):  
Rafaela Franca
Keyword(s):  
Urban Area ◽  
Ordinary Kriging ◽  
Distribution Patterns ◽  
Nearest Neighbour ◽  
University Campus ◽  
Neighbour Distance ◽  
Distance Analysis ◽  
North East ◽  
Animal Populations ◽  
Conservation Actions

The distribution of animal populations within an assemblage includes a wide variety of patterns, which are fundamental to understanding population dynamics and aid in conservation actions. We examined a snake assemblage in an urban area to describe species distribution patterns and to identify which places are more likely to contain snakes, both venomous and non-venomous. The study was conducted in the urban area of the municipality of Rio Tinto in north-east Brazil. We used a geostatistical modelling technique called ordinary kriging to identify which places were more likely to contain snakes, and a statistical spatial method (average nearest neighbour distance) to detect distribution patterns of snake species within the study area. A total of 291 individuals distributed among 28 species were recorded. The snakes were found in streets, homes, churches, university campus, streams, and even in local supermarkets. Ordinary kriging showed that the area of distribution of individuals was concentrated at three distinct points located in the centre of the urban area. The significant results of the average nearest neighbour distance analysis showed a clustered distribution for two species and dispersed distributions for eight species. Information on urban sites where snakes are more likely to be found is important not only for conservation, but also to help local citizens better understand and live amongst snakes

scholarly journals Temporal Variability of Particulate Matter in Urban Area of Port Harcourt, Nigeria

2019 ◽  
pp. 1-7
Author(s):  
Christopher U. Onuorah ◽  
T. G. Leton ◽  
O. L. Y. Momoh
Keyword(s):  
Particulate Matter ◽  
Urban Area ◽  
Atmospheric Stability ◽  
Dry Season ◽  
Health Concern ◽  
Trade Wind ◽  
Elevated Concentration ◽  
North East ◽  
Port Harcourt ◽  
Particle Pollution

Particulate matter pollution poses serious health concern to public health in Nigeria especially at elevated concentration. Its size is very vital in determination of its long stay in the atmosphere as well as its deposition in human respiratory system. This study analyzes the temporal variation of particulate matter (PM10 and PM2.5) concentrations and its ratio in urban area of Port Harcourt. The study was carried out in Woji, area of Port Harcourt, Nigeria, from May to December 2018 using Aerocet 531 particulate monitor while meteorological variables were monitored via Misol wireless weather station mounted 10 m above the ground level. The highest particle pollution occurred in the month of December with an average daily PM2.5 concentration of 58.8 μgm-3 and PM10 concentration of 164.5 μgm-3, which exceeds WHO and USEPA daily threshold. These particle pollution exceedances recorded the dry season month of December was due to high atmospheric stability with dry dusty north east trade wind associated with harmattan. Also,  Particulate matter concentration are usually lower during the weekends than weekdays with high PM level occurring at night from 8:00 PM to 9:00 AM in the morning with the peak at 8.00 AM. This shows that the weekdays experienced elevated PM level than weekend as a result of high industrial, commercial and traffic activities emitting particles within the weekdays. Also the average PM2.5/PM10 ratio for wet and dry season was 0.3 respectively. This shows that the town is town is predominated by coarse particle. 

scholarly journals USING REMOTE SENSING AND GIS TO IDENTIFY TREND OF EXPANSION OF URBAN AREA IN HOCHIMINH CITY

2010 ◽  
Vol 13 (1) ◽  
pp. 14-25
Author(s):  
Viet Bach Pham
Keyword(s):  
Remote Sensing ◽  
Spectral Analysis ◽  
Urban Area ◽  
Spectral Response ◽  
Remote Sensing And Gis ◽  
Landsat Data ◽  
Spatial Expansion ◽  
North East ◽  
The North ◽  
South West

Studying on the trend of spatial expansion of urban in Hohiminh city, which used remote sensing and spatial analysis of GIS, has revealed changes of spatial urban over times.. Analysis of spectral response for main land cover types had been done on Landsat data from 1975 to 2005 in order to discriminate urban type with the others. Based on this spectral analysis, the expansion of urban area over times has been identified. Spatial statistics analysis was applied to estimate trends of urban area of Hochiminh city. Tthe results showed a wide spreading out from 1975 to 2008, the urban area has been extended two times in radius and three times in area. The trends of spatial expansion is anisotropic. There is a spatial expansion trend in the north east-south west axis.

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