Understanding tenure security dynamics in resettlement towns: Evidence from the Bui Resettlement Project in Ghana

2020 ◽  
Vol 1 (2) ◽  
pp. 38-49
Author(s):  
Walter Dachaga ◽  
Uchendu Eugene Chigbu
Keyword(s):  
Statistical Approach ◽  
Governance Structures ◽  
Tenure Security ◽  
General Lack ◽  
Resettlement Towns

Many researchers have investigated the impacts of resettlement schemes in Ghana. However, not many have explored the tenure dynamics in resettlement and how it either improves or worsens tenure security. This study contributes to filling this gap by assessing tenure security in the Bui Resettlement Town B in Ghana and proposes measures for undertaking resettlement projects in a tenure responsive manner. The study adopted a qualitative and descriptive statistical approach based on data collected using interviews on tenure experiences and resettlement processes concerning the Bui resettlement project (Resettlement Town B) in Ghana.  Findings show that tenure insecurity is associated with the resettlement project due to the transformation of tenure from communal holding to individual holding, changes in traditional land governance structures from local chiefs to Bui Power Authority and a general lack of access to land. The study concludes with some measures for improving tenure security in resettlement towns.

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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