JE-VOLUME 02 ISSUE 03 MAY 2013


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Volume 2 Issue 3, May 2013

Journal of Environment

ISSN

2049-8373

Publication Frequency

6 Issues per year

Pages

60-89

Publication History


Original Articles

Climate-Vegetation Response Relationship in Part of South-Eastern Nigeria

Felix Ike and Adebayo Oluwole Eludoyin

Pages 60-65


Constraints to Urban Land Use Planning and Management in Nigeria: Evidence from Ondo State

Afolabi Aribigbola

Pages 66-73


The Comparison of RBF and MLP Neural Networks Performance for the Estimation of Land Suitability                                

A.A. Vali, M.H. Ramesht and M. Mokarram

Pages 74-78


Distribution and Abundance of Finfish Larvae in Coastal Waters off the Rekawa, Sri Lanka

K.H.M. Ashoka Deepananda and H.S. Arsecularatne

Pages 79-84


A Geographically Referenced Database Designed of Telecom Network information for Ahwaz city (Case Study: Kianpars)

M. Kashefi, K. Rangzan and E. Abshirini

Pages 85-89



Title

Climate-Vegetation Response Relationship in Part of South-Eastern Nigeria

Abstract

This study examines the trend and relationship of vegetation vigour with temperature and rainfall, as an indicator for measuring climate variability in the South Eastern Nigeria. The main objective of the study was to determine the trend of Normalized Difference Vegetative Index (NDVI) as derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and its relationships with rainfall and temperature for the study area. Ten (2000-2009) years MODIS images data were analysed with geographical information techniques and the results were compared with the mean rainfall and temperature from 5 well distributed stations for same period. Vegetation vigour was quantified by NDVI and analysed for spatial correlation and temporal variations. The study showed that the mean annual temperature, rainfall and NDVI for the investigated period were 27.0-28.0 oC, 1700-2400 mm and 0.0-1.5, respectively. The study suggests that the relationship between vegetation vigour and climate factors (temperature and rainfall) is complex and it is affected by sensors’ spatial and spectral characteristics among others. It also identified data aggregation window as an important factor that should be considered in attempts to establish a vegetation vigour-climate relationship.

Keywords

Moderate Resolution Imaging Spectroradiometer, Normalized Difference Vegetative Index, Vegetation-climate Relationship

Title

Constraints to Urban Land Use Planning and Management in Nigeria: Evidence from Ondo State

Abstract

This paper explores constraints to urban land use planning and management in Nigeria using, Ondo State in South Western part of the country as a case study with a view to determining its effects on city development. It discusses land use planning and control mechanisms and suggests how to eliminate the constraints associated with land use planning and management to achieve sustainable urban development in the area. The basic data set for the paper was generated by a systematic survey of land use planning and control activities from the eighteen council areas that make up the state. Other relevant materials were sourced from published sources including government departments and agencies. The paper reveals that although land use planning policies and mechanisms are in place in the state, they are beset with a number of problems including inadequate information on uncoordinated land use planning and management practices and weak regulatory institutions among others. The paper recommends immediate actions to improve the situation to embrace reinvigoration of land use policies including amendment of the land use act and strengthening institutions responsible for land use planning and Management. The need to devolve planning at the local levels was emphasized in the study.

Keywords

Urban Land Use, Planning and Management, Ondo State

Title

The Comparison of RBF and MLP Neural Networks Performance for the Estimation of Land Suitability           

Abstract

Recent decades’ studies have shown that artificial neural networks have high level of capabilities for modelling complex systems and nonlinear ones. In the present study the possibility of using networks with Radial Basis Function (RBF) and Multi-Layer Perceptron Networks (MLP) has been studied to determine land suitability for various activities. Data was used from 300 soil profiles located in the northern province of Fars plain in Iran. Parameters under study were included: soil texture, pH, EC, ESP, CaCO3, gypsum, soil depth, topography, groundwater depth and depth of segment. Firstly, by the use of FAO (World Food Organization) method, land suitability classes were determined. Of these values as the output target, different networks with different structures were defined and taught. Out of 69% for training data, 31 percent was used for testing. Secondly, the capabilities of neural networks were used to forecast land suitability classes using data that was not used (31 percent) in the training of networks. To compare results of two networks that were determined, it was revealed that MLP networks are more accurate than RBF networks in anticipation of land suitability classes and it also requires less time for training RBF networks.

Keywords

Land Suitability, Radial Basis Function Networks, Multilayer Perceptron Networks

Title

Distribution and Abundance of Finfish Larvae in Coastal Waters off the Rekawa, Sri Lanka

Abstract

Though, there are studies on distribution and abundance of commercially important finfish larvae over the globe, such accounts on ichthyoplankton fauna in coastal waters of Sri Lanka are relatively scarce and to our knowledge, no national or international article has been published hitherto. Present study investigated the distribution and abundance of finfish larvae in coastal waters of Sri Lanka with particular reference to the importance of Rekawa mangrove forest as a refugee for early life stages of fish. Surface plankton samples were collected monthly by larval net at five sampling sites along the axis from Rekawa lagoon mouth to southward.. A total of 932 finfish larvae were collected from the study area, with a mean abundance of 46.6 larvae per 100 m3. The larval fish assemblage comprised 24 species belongs to 12 families. Blenniidae was the most abundant family which contributed 80.4% of the total larval fish abundance which was followed by Gerridae (5.0%), Mullidae (4.6%), Carrangidae (2.6%) and Clupidae (2.2%). The gradient in Shannon Weiner diversity index suggests that Rekawa is an important spawning area for pelagic spawning non resident species. However, further studies are essential to provide the detailed accounts on the spawning season of the species commercially important to Sri Lanka.

Keywords

Finfish Larvae, Coastal Waters Rekawa, Ichthyoplankton Fauna

Title

A Geographically Referenced Database Designed of Telecom Network information for Ahwaz city (Case Study: Kianpars)

Abstract

Database of geographically referenced is an important step in the spatial management of urban services. Since more than 60% of the costs related to the development of telecommunications is the cable network, so the optimization of data increases the accuracy and speed of access to the information and to update the information at the lowest cost. In the present study the purpose is to design and implement database of geographically Referenced and mobile geometric networks for cable data. Thus, first of all, the data in Kianpars area was geographically referenced. Then all the elements of spatial data and descriptive parameters of network elements were digitized. For a more precise management of cable network topology rules, relationship classes and subclasses were determined. The next step was the design of a geometric network. Finally, the results showed the ability of Database of geographically Referenced in management of telecommunications cable network.

Keywords

Database of Geographically Referenced, Topology, Geometric Networks