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Urban Sprawl, Pattern and Measurement in Lokoja, Nigeria
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Research Papers in Economics Alabi M. O. URBAN SPRAWL, PATTERN AND MEASUREMENT IN LOKOJA, NIGERIA URBAN SPRAWL, PATTERN AND MEASUREMENT IN LOKOJA, NIGERIA Michael Oloyede ALABI Department of Geography and Planning, Kogi State University P.M. B. 1008, Anyigba, Nigeria ement [email protected] Abstract Lokoja have been experiencing a large influx of population from its surrounding regions, which had led to rapid growth and expansion that had left profound changes on the landscape in terms of land use and land cover. This study uses the GIS techniques and the application of Shannon’s entropy theory to measure the behavior of sprawl which is based on the notion that landscape entropy or disorganization increases with sprawl, analysis was carried out based on the integration of remote sensing and GIS, the measurement of entropy is devised based on the town location factors, distance from roads, to reveal and capture spatial patterns of urban sprawl. Then Entropy value for each zone revealed a high value, especially areas outside the core city area; like Felele, with the entropy of 0.3, Adankolo, 0.2 and Lokongoma, 0.2. These areas are evenly dispersed settlement, as one move away from the city core. Study shows a correlation of population densities and entropy values of 1987 and 2007, for areas like Felele ,Adankolo, and Lokongoma , which is indicative of spread over space , an evidence of sprawl. But as we go down the table the entropy values seem to tend towards zero. -
2007, Bello and Makinde, Delineation of the Aquifer in the South- Western Part of the Nupe Basin, Kwara State, Nigeria
Journal of American Science, 3(2), 2007, Bello and Makinde, Delineation Of The Aquifer In The South- Western Part Of The Nupe Basin, Kwara State, Nigeria Delineation of the Aquifer in the South-Western Part of the Nupe Basin, Kwara State, Nigeria 1.Bello, Abdulmajeed A, 2.Makinde, Victor 1. Department of Physics, Institute of Basic and Applied Science, Kwara State Polytechnic Ilorin. 2. Department of Physics, University of Agriculture, PMB 2240, Abeokuta, [email protected] 1All correspondence should be directed to 2 above Abstract: A geophysical study using the Vertical Electrical Soundings (VES) techniques has been used to investigate the sub-surface layering in the southwestern part of the Niger Basin in order to determine the nature, characteristics and spatial extent of the components of the aquifer underlying the region. The results of the interpreted VES data suggest that the layering in the region range from three to five layers. The geologic sections derived from the analyzed geoelectric section suggest that the alluvial deposits of sand, sandy clay, medium to coarse sandstones, as well as the weathered and fractured basement constitute the aquifer found in this sedimentary region. Furthermore the results of the interpretation of the VES data indicate that the thickness values of the aquifer vary from 6.01 m to 58.60 m. The geoelectric section generated also suggest that the resistivity values of the aquifer components range from 4.2 Ω-m to 106.7 Ω- m for the alluvial deposits; 33.7 Ω-m to 108.6 Ω-m (weathered basement); and 345.7 Ω-m to 564.0 Ω-m for the fractured basement rocks. -
Flood Frequency Analysis of River Niger at Lokoja, Kogi State Using Log-Pearson Type III Distribution
Vol. 13(1), pp. 30-36, January-March, 2021 DOI: 10.5897/IJWREE2020.0936 Article Number: 3962E7465930 ISSN 2141-6613 Copyright©2021 International Journal of Water Resources and Author(s) retain the copyright of this article http://www.academicjournals.org/IJWREE Environmental Engineering Full Length Research Paper Flood frequency analysis of River Niger at Lokoja, Kogi State using Log-Pearson Type III distribution Ahuchaogu Udo E.1*, Ojinnaka O. C.2, Njoku R. N.1 and Baywood C. N.1 1Department of Surveying and Geo-Informatics, Federal University of Technology, Owerri, Imo State, Nigeria. 2Department of Geo-informatic, and Surveying, University of Nigeria, Enugu Campus, Enugu State, Nigeria. Received 9 June, 2020; Accepted 4 September, 2020 This study applied Log-Pearson Type III probability distribution to model time series annual peak flow records of River Niger recorded at Lokoja gauging station. This was necessitated by the need to provide reliable data for safe and economic hydrologic design for security of lives and property at downstream of river Niger basin. Though several methods have been adopted in the study area for flood mitigation, however, it has become apparent that these measures are inadequate and no attempt has been made to apply statistical approach for provision of sustainable solution. Though flood cannot be prevented but the impact can be reduced by applying adequate counter measures. Therefore, this study shows the result of flood frequency analysis based on annual peak flow measurement covering a period of 18 years (1995-2012) carried by National Inland Water Ways (NIWA) at Lokoja gauge station. The probability distribution function was applied to return periods (T) of 2, 5, 10, 25, 50, 100 and 200 years. -
Isbn: 978-978-57350-2-4
ASSESSMENT AND REPAIR OF SOLAR STREETLIGHTS IN TOWNSHIP AND RURAL COMMUNITIES (Kwara, Kogi, Osun, Oyo, Nassarawa and Ekiti States) A. S. OLADEJI B. F. SULE A. BALOGUN I. T. ADEDAYO B. N. LAWAL TECHNICAL REPORT NO. 11 ISBN: 978-978-57350-2-4 NATIONAL CENTRE FOR HYDROPOWER RESEARCH AND DEVELOPMENT ENERGY COMMISSION OF NIGERIA UNIVERSITY OF ILORIN, ILORIN, NIGERIA DECEMBER, 2013 i TABLE OF CONTENTS Table of Contents ii List of Figures iii List of Table iii 1.0 Introduction 2 1.1Background 2 1.2Objectives 4 2. 0Assessment of ECN 2008/2009 Rural Solar Streetlight Projects 5 2.1 Results of 2012 Re-assessment Exercise 5 2.1.1 Nasarawa State 5 2.1.1.1 Keffi 5 2.1.2 Kogi State 5 2.1.2.1 Banda 5 2.1.2.2 Kotonkarfi 5 2.1.2.3 Anyigba 5 2.1.2.4 Dekina 6 2.1.2.5 Egume 6 2.1.2.6 Acharu/Ogbogodo/Itama/Elubi 6 2.1.2.7 Abejukolo-Ife/Iyale/Oganenigu 6 2.1.2.8 Inye/Ofuigo/Enabo 6 2.1.2.9 Ankpa 6 2.1.2.10 Okenne 7 2.1.2.11 Ogaminana/Ihima 7 2.1.2.12 Kabba 7 2.1.2.13 Isanlu/Egbe 7 2.1.2.14 Okpatala-Ife / Dirisu / Obakume 7 2.1.2.15 Okpo / Imane 7 2.1.2.16 Gboloko / Odugbo / Mazum 8 2.1.2.17 Onyedega / Unale / Odeke 8 2.1.2.18 Ugwalawo /FGC / Umomi 8 2.1.2.19 Anpaya 8 2.1.2.20 Baugi 8 2.1.2.21 Mabenyi-Imane 9 ii 2.1.3 Oyo State 9 2.1.3.1 Gambari 9 2.1.3.2 Ajase 9 2.1.4 Kwara State 9 2.1.4.1Alaropo 9 2.1.5 Ekiti State 9 2.1.5.1 Iludun-Ekiti 9 2.1.5.2 Emure-Ekiti 9 2.1.5.3 Imesi-Ekiti 10 2.1.6 Osun State 10 2.1.6.1 Ile-Ife 10 2.1.6.3 Oke Obada 10 2.1.6.4 Ijebu-Jesa / Ere-Jesa 11 2.2 Summary Report of 2012 Re-Assessment Exercise, Recommendations and Cost for the Repair 11 2.3 Results of 2013 Re-assessment Exercise 27 2.2.1 Results of the Re-assessment Exercise 27 2.3.1.1 Results of Reassessment Exercise at Emir‟s Palace Ilorin, Kwara State 27 2.3.1.2 Results of Re-assessment Exercise at Gambari, Ogbomoso 28 2.3.1.3 Results of Re-assessment Exercise at Inisha 1&2, Osun State 30 3.0 Repairs Works 32 3.1 Introduction 32 3.2 Gambari, Surulere, Local Government, Ogbomoso 33 3.3 Inisha 2, Osun State 34 4. -
World Bank Document
The Final Draft RAP Report for Agassa Gully Erosion Sites for NEWMAP, Kogi State. Public Disclosure Authorized FINAL REPORT RESETTLEMENT ACTION PLAN (RAP) FOR AGASSA EROSION SITE, OKENE LOCAL GOVERNMENT AREA Public Disclosure Authorized SUBMITTED TO Public Disclosure Authorized KOGI STATE NIGERIA EROSION AND WATERSHED MANAGEMENT PROJECT (KGS-NEWMAP) PLOT 247, TUNDE OGBEHA STREET, GRA, LOKOJA. Public Disclosure Authorized i The Final Draft RAP Report for Agassa Gully Erosion Sites for NEWMAP, Kogi State. RAP Basic Data/Information S/N Subject Data 1 Intervention Site Agassa Gully Erosion sub-project, Okene LGA, Kogi State 2 Need for RAP Resettlement of People Displaced by the Project/Work 3 Nature of Civil Works Stabilization or rehabilitation in and around Erosion Gully site - stone revetment to reclaim and protect road way and reinforcement of exposed soil surface to stop scouring action of flow velocity, extension of culvert structure from the Agassa Road into the gully, chute channel, stilling basin, apron and installation of rip-rap and gabions mattress at some areas. Zone of Impact 5m offset from the gully edge. 4 Benefit(s) of the Intervention Improved erosion management and gully rehabilitation with reduced loss of infrastructure including roads, houses, agricultural land and productivity, reduced siltation in rivers leading to less flooding, and the preservation of the water systems for improved access to domestic water supply. 5 Negative Impact and No. of PAPs A census to identify those that could be potentially affected and eligible for assistance has been carried out. However, Based on inventory, a total of 241 PAPs have been identified. -
PROVISIONAL LIST.Pdf
S/N NAME YEAR OF CALL BRANCH PHONE NO EMAIL 1 JONATHAN FELIX ABA 2 SYLVESTER C. IFEAKOR ABA 3 NSIKAK UTANG IJIOMA ABA 4 ORAKWE OBIANUJU IFEYINWA ABA 5 OGUNJI CHIDOZIE KINGSLEY ABA 6 UCHENNA V. OBODOCHUKWU ABA 7 KEVIN CHUKWUDI NWUFO, SAN ABA 8 NWOGU IFIONU TAGBO ABA 9 ANIAWONWA NJIDEKA LINDA ABA 10 UKOH NDUDIM ISAAC ABA 11 EKENE RICHIE IREMEKA ABA 12 HIPPOLITUS U. UDENSI ABA 13 ABIGAIL C. AGBAI ABA 14 UKPAI OKORIE UKAIRO ABA 15 ONYINYECHI GIFT OGBODO ABA 16 EZINMA UKPAI UKAIRO ABA 17 GRACE UZOME UKEJE ABA 18 AJUGA JOHN ONWUKWE ABA 19 ONUCHUKWU CHARLES NSOBUNDU ABA 20 IREM ENYINNAYA OKERE ABA 21 ONYEKACHI OKWUOSA MUKOSOLU ABA 22 CHINYERE C. UMEOJIAKA ABA 23 OBIORA AKINWUMI OBIANWU, SAN ABA 24 NWAUGO VICTOR CHIMA ABA 25 NWABUIKWU K. MGBEMENA ABA 26 KANU FRANCIS ONYEBUCHI ABA 27 MARK ISRAEL CHIJIOKE ABA 28 EMEKA E. AGWULONU ABA 29 TREASURE E. N. UDO ABA 30 JULIET N. UDECHUKWU ABA 31 AWA CHUKWU IKECHUKWU ABA 32 CHIMUANYA V. OKWANDU ABA 33 CHIBUEZE OWUALAH ABA 34 AMANZE LINUS ALOMA ABA 35 CHINONSO ONONUJU ABA 36 MABEL OGONNAYA EZE ABA 37 BOB CHIEDOZIE OGU ABA 38 DANDY CHIMAOBI NWOKONNA ABA 39 JOHN IFEANYICHUKWU KALU ABA 40 UGOCHUKWU UKIWE ABA 41 FELIX EGBULE AGBARIRI, SAN ABA 42 OMENIHU CHINWEUBA ABA 43 IGNATIUS O. NWOKO ABA 44 ICHIE MATTHEW EKEOMA ABA 45 ICHIE CORDELIA CHINWENDU ABA 46 NNAMDI G. NWABEKE ABA 47 NNAOCHIE ADAOBI ANANSO ABA 48 OGOJIAKU RUFUS UMUNNA ABA 49 EPHRAIM CHINEDU DURU ABA 50 UGONWANYI S. AHAIWE ABA 51 EMMANUEL E. -
Productive Time of Women and Water Supply in Ijumu, Local Government Area, Kogi State, Nigeria
Global Journal of Human Social Science Vol. 10 Issue 5 (Ver 1.0) Sepetember 2010 P a g e | 45 Productive Time of Women and Water Supply in Ijumu, Local Government Area, Kogi State, Nigeria. GJHSS Classification – C (FOR) 040604,040608,091402 Ifabiyi, I.P1 B.A. Usman;2 I.O.Orire3 Aledare, A.4 Abstract-The study assessed productive time of women and hours in search of water. Meanwhile, the time spent to water supply in Ijumu L.G.A. of Kogi state, Nigeria. Two search for water could be diverted for economic activities hundred questionnaires were administered in the LGA and 32 that could be of financial gain to these poor rural families. socio-economic variables were generated altogether. Principal According to Whittington, et al (1990) a study in Kenya component analysis and stepwise regression analysis were used among rural dwellers of Ukanda showed that household in to interpret the data. The result of the principal components reduced the 32 variables to seven orthogonal components. The the village place a surprisingly high value on the time they factor defining variables underlying the explanation are: water spend collecting water. Finally, Coasta, et al (2009) in a borne diseases, marital status and distances to the nearest recent study in Ghana discovered that the time spent on water points. Others are: number of days lost to treatment, remunerated job increases when household are provided family size, and age of respondent. These components offered with electricity and also that the supply of water reduces the 95.5% explanation to the variance. Furthermore, the result of time burden faced by rural women. -
States Nominal Gross Domestic Product
States Nominal Gross Domestic Product (2013 – 2017) - PHASE II - ANAMBRA - EDO - JIGAWA - ONDO - BAUCHI - EKITI - KOGI - FCT-ABUJA - EBONYI - GOMBE - NIGER Report Date: May 2019 Data Source: National Bureau of Statistics (NBS) Contents Executive Summary 1 Nominal GDP for 22 States By Highest to Lowest 2017 N'mn 3 Anambra 4 Bauchi 20 Ebonyi 36 Edo 52 Ekiti 68 Gombe 84 Jigawa 100 Kogi 116 Niger 132 Ondo 148 FCT - Abuja 164 Appendix - Tables 180 Methodology 206 Acknowledgment and Contact 213 Executive Summary GDP of an economy, including at State level, is a measure in monetary terms of production of all goods and services during a period. Like the compilation at the national level, State accounts statistics are based on the guidelines and recommendations set out in the System of National Accounts 2008 (SNA 2008). The System of National Accounts provides an internationally-recognised framework and a comprehensive set of concepts, definitions and classifications for national accounting. Additionally, other relevant guidelines adopted are the International Standard Industrial Classification of all Economic Activities (ISIC) as well as the Central Product Classification (CPC) system. States GDP compilation is important and useful for various purposes. First, it provides important information to support evidence-based policymaking. It also helps to identify key drivers of economic growth in each state and assess the performance of the state economy. Further, by revealing the structure of the state economy, the contribution of each state to the national output can be determined. Methodologically, National/State accounts describe all flows within a period between the economic units constituting the national /state economy and their stocks. -
Federal Government of Nigeria APPROPRIATION ACT NATIONAL
Federal Government of Nigeria APPROPRIATION ACT Federal Government of Nigeria SUMMARY BY MDAs 2014 APPROPRIATION ACT TOTAL TOTAL TOTAL TOTAL NO CODE MDA TOTAL CAPITAL PERSONNEL OVERHEAD RECURRENT ALLOCATION 1 0252 FEDERAL MINISTRY OF WATER RESOURCES 6,453,723,291 1,253,507,355 7,707,230,646 30,673,743,742 38,380,974,388 6,453,723,291 1,253,507,355 7,707,230,646 30,673,743,742 38,380,974,388 SUMMARY BY FUNDS 2014 APPROPRIATION ACT TOTAL NO CODE FUND ALLOCATION 1 021 MAIN ENVELOP - PERSONNEL 6,453,723,291 2 022 MAIN ENVELOP - OVERHEAD 1,253,507,355 3 031 CAPITAL DEVELOPMENT FUND MAIN 30,673,743,742 38,380,974,388 FEDERAL MINISTRY OF WATER RESOURCES 2014 APPROPRIATION ACT TOTAL TOTAL TOTAL TOTAL NO CODE MDA TOTAL CAPITAL PERSONNEL OVERHEAD RECURRENT ALLOCATION 1 0252001001 FEDERAL MINISTRY OF WATER RESOURCES - HQTRS 1,254,673,570 392,665,768 1,647,339,338 20,717,218,240 22,364,557,579 2 0252002001 NIGERIA HYDROLOGICAL SERVICE AGENCY 221,389,970 55,865,560 277,255,530 179,247,985 456,503,515 3 0252037001 ANAMBRA/ IMO RBDA 455,489,942 55,865,560 511,355,502 3,235,806,490 3,747,161,992 4 0252038001 BENIN/ OWENA RBDA 322,160,663 43,913,580 366,074,243 1,053,692,523 1,419,766,767 5 0252039001 CHAD BASIN RBDA 307,422,039 51,047,178 358,469,217 815,113,124 1,173,582,340 6 0252040001 CROSS RIVER RBDA 336,855,511 55,081,513 391,937,024 3,478,138,245 3,870,075,268 7 0252041001 HADEJIA-JAMAĻARE RBDA 359,414,905 42,539,089 401,953,994 2,180,191,256 2,582,145,250 8 0252042001 LOWER BENUE RBDA 325,353,095 39,075,742 364,428,837 1,930,670,266 2,295,099,103 -
Budget Office of the Federation
FEDERAL GOVERNMENT OF NIGERIA 2013 BUDGET SUMMARY FEDERAL MINISTRY OF WATER RESOURCES TOTAL TOTAL TOTAL TOTAL CODE MDA PERSONNEL OVERHEAD TOTAL CAPITAL RECURRENT ALLOCATION COST COST =N= =N= =N= =N= =N= FEDERAL MINISTRY OF WATER RESOURCES - 0252001001 1,083,024,657 434,615,687 1,517,640,344 22,531,340,812 24,048,981,156 HQTRS 0252037001 ANAMBRA/ IMO RBDA 464,161,638 69,652,538 533,814,176 1,473,000,000 2,006,814,176 252038001 BENIN/ OWENA RBDA 316,287,249 48,517,004 364,804,253 1,173,000,000 1,537,804,253 0252039001 CHAD BASIN RBDA 356,131,589 66,930,198 423,061,787 1,213,000,000 1,636,061,787 0252040001 CROSS RIVER RBDA 343,099,138 69,271,822 412,370,960 1,325,000,000 1,737,370,960 0252051001 GURARA WATER MANAGEMENT AUTHORITY 17,437,823 70,346,852 87,784,675 197,000,000 284,784,675 0252041001 HADEJIA-JAMAļARE RBDA 392,002,606 53,037,247 445,039,853 1,228,000,000 1,673,039,853 0252042001 LOWER BENUE RBDA 311,818,910 49,183,926 361,002,836 1,213,000,000 1,574,002,836 0252043001 LOWER NIGER RBDA 519,742,477 66,419,289 586,161,766 1,317,000,000 1,903,161,766 0252044001 NIGER DELTA RBDA 519,025,500 77,714,503 596,740,003 1,693,000,000 2,289,740,003 NIGERIA INTEGRATED WATER MANAGEMENT 0252050001 146,023,657 89,122,355 235,146,012 239,000,000 474,146,012 COMMISSION NATIONAL WATER RESOURCES INSTITUTE- 0252049001 271,719,861 40,532,007 312,251,868 538,000,000 850,251,868 KADUNA 0252045001 OGUN/ OSUN RBDA 394,809,520 79,556,978 474,366,498 1,400,000,000 1,874,366,498 0252046001 SOKOTO RIMA RBDA 439,998,323 83,609,292 523,607,615 1,392,999,999 -
Nigeria – Enugu State – Village Kings – Ethnic Igbos – State Protection – Orun-Ekiti
Refugee Review Tribunal AUSTRALIA RRT RESEARCH RESPONSE Research Response Number: NGA34743 Country: Nigeria Date: 24 April 2009 Keywords: Nigeria – Enugu State – Village kings – Ethnic Igbos – State protection – Orun- Ekiti This response was prepared by the Research & Information Services Section of the Refugee Review Tribunal (RRT) after researching publicly accessible information currently available to the RRT within time constraints. This response is not, and does not purport to be, conclusive as to the merit of any particular claim to refugee status or asylum. This research response may not, under any circumstance, be cited in a decision or any other document. Anyone wishing to use this information may only cite the primary source material contained herein. Questions 1. How are kings appointed at village level in Nigeria? 2. What is their role? How much political influence and power do they have? 3. Is the position passed on to father and son only if the son has a son himself? If not, how is the position passed on? 4. [Deleted] 5. [Deleted] 6. Is Ekiti State still part of Nigeria? Who is the current Alara? 7. A brief update on the adequacy of state protection in Nigeria, particularly related to the effective (or otherwise) investigation and prosecution of serious crimes, such as murder. 8. Any relevant information about the Igwe ethnic group, such as whether it is predominant, whether there are any reports of discrimination against people of Igwe ethnicity, and whether local village kings have to be from a particular ethnicity. RESPONSE A map of Nigeria which indicates the locations of the states of Enugu, Ekiti and Lagos is provided as a general reference at Attachment 1 (United Nations Department of Peacekeeping Operations, Cartographic Section 2004, ‘Nigeria – Map No. -
Appropriation Bill
Federal Government of Nigeria APPROPRIATION BILL FEDERAL MINISTRY OF WATER RESOURCES 2017 FGN BUDGET PROPOSAL TOTAL TOTAL TOTAL TOTAL NO CODE MDA TOTAL CAPITAL PERSONNEL OVERHEAD RECURRENT ALLOCATION FEDERAL MINISTRY OF WATER 1. 0252001001 1,291,677,344 273,665,578 1,565,342,922 51,153,246,901 52,718,589,824 RESOURCES - HQTRS NIGERIA HYDROLOGICAL SERVICES 2. 0252002001 215,688,828 38,935,101 254,623,929 817,700,000 1,072,323,929 AGENCY 3. 0252037001 ANAMBRA/IMO RBDA 383,777,823 38,935,100 422,712,923 2,619,045,426 3,041,758,349 4. 0252038001 BENIN/OWENA RBDA 308,405,540 30,605,254 339,010,794 755,000,000 1,094,010,794 5. 0252039001 CHAD BASIN RBDA 340,647,380 35,576,963 376,224,343 1,672,545,395 2,048,769,738 6. 0252040001 CROSS RIVER RBDA 338,376,690 38,388,662 376,765,352 4,589,999,067 4,966,764,419 7. 0252041001 HADEJIA-JAMA'ARE RBDA 332,564,227 42,285,000 374,849,227 3,066,340,349 3,441,189,576 8. 0252042001 LOWER BENUE RBDA 347,775,559 27,233,559 375,009,118 1,400,800,000 1,775,809,118 9. 0252043001 LOWER NIGER RBDA 492,627,244 37,127,743 529,754,987 4,991,667,925 5,521,422,913 10. 0252044001 NIGER DELTA RBDA 517,412,412 43,441,662 560,854,074 1,003,000,000 1,563,854,074 11. 0252045001 OGUN/OSUN RBDA 338,994,481 44,471,584 383,466,065 860,259,350 1,243,725,415 12.