3. Appendix C: Geology and Soils Study
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Nakuru County
Kenya County Climate Risk Profile Nakuru County Map Book Contents Agro-Ecological Zones Baseline Map ………………….…………………………………………………………... 1 Baseline Map ………………………………………………………………………………………………….……………... 2 Elevation Map ...…………………….……………………………………………………………………………………..... 3 Farming Systems Map ……………….…….…………………………………………………………………………...... 4 Land Cover Map …………...……………………………………………………………………………………………...... 5 Livestock Production Systems Map ..…………………………………………………………………………......... 6 Mean Precipitation Map ……………….……………………………………………………………………………....... 7 Mean Temperature Map ……………………………………………………………………………………………....... 8 Population Density Map .………………………………………………………………………….…………………...... 9 Satellite Map .……………………………………………………………..………………………………………………... 10 Soil Classes Map ..……………………………………………………………………………………………..………...... 11 Travel Time Map ……………….…………………………………………………………………………………..…...... 12 AGRO-ECOLOGICAL ZONES a i o p ! ! i ! g ! ! ! k ! n i ! i ! ! ! ! r ! ! ! a ! ! a L ! ! !! ! ! ! ! B ! ! Solai ! ! ! ! Subukia ! ! ! ! ! ! Athinai ! ! ! ! Moto ! ! Bahati ! ! Rongai Kabarak N ! ! ! Menengai ! ! ! ! y Molo ! ! Dondori ! Turi ! a ! Nakuru ! ! ! Keusa Lanet Kio ! Elburgon ! ! ! Sasamua ! ! Chesingele Njoro n ! ! ! d N a k u r u ! ! ! ! Keringet ! a Kiriri ! Kariandusi ! Mukuki ! ! Elmentaita r Kabsege ! Gilgil ! ! Likia ! u East Mau ! ! ! a Olenguruone Mau ! ! F Cheptwech ! Narok ! ! ! Ambusket ! ! ! Morendat ! ! ! ! Naivasha ! ! Marangishu ! ! ! ! Ngunyumu Kangoni ! ! ! ! ! ! ! Longonot ! ! ! u ! ! ! b Akira Mai ! ! ! Legend ! Mahiu N a r o k ! m ! Town ! Agro-ecological -
Registered Voters Per Constituency for 2017 General Elections
REGISTERED VOTERS PER CONSTITUENCY FOR 2017 GENERAL ELECTIONS COUNTY_ CONST_ NO. OF POLLING COUNTY_NAME CONSTITUENCY_NAME VOTERS CODE CODE STATIONS 001 MOMBASA 001 CHANGAMWE 86,331 136 001 MOMBASA 002 JOMVU 69,307 109 001 MOMBASA 003 KISAUNI 126,151 198 001 MOMBASA 004 NYALI 104,017 165 001 MOMBASA 005 LIKONI 87,326 140 001 MOMBASA 006 MVITA 107,091 186 002 KWALE 007 MSAMBWENI 68,621 129 002 KWALE 008 LUNGALUNGA 56,948 118 002 KWALE 009 MATUGA 70,366 153 002 KWALE 010 KINANGO 85,106 212 003 KILIFI 011 KILIFI NORTH 101,978 182 003 KILIFI 012 KILIFI SOUTH 84,865 147 003 KILIFI 013 KALOLENI 60,470 123 003 KILIFI 014 RABAI 50,332 93 003 KILIFI 015 GANZE 54,760 132 003 KILIFI 016 MALINDI 87,210 154 003 KILIFI 017 MAGARINI 68,453 157 004 TANA RIVER 018 GARSEN 46,819 113 004 TANA RIVER 019 GALOLE 33,356 93 004 TANA RIVER 020 BURA 38,152 101 005 LAMU 021 LAMU EAST 18,234 45 005 LAMU 022 LAMU WEST 51,542 122 006 TAITA TAVETA 023 TAVETA 34,302 79 006 TAITA TAVETA 024 WUNDANYI 29,911 69 006 TAITA TAVETA 025 MWATATE 39,031 96 006 TAITA TAVETA 026 VOI 52,472 110 007 GARISSA 027 GARISSA TOWNSHIP 54,291 97 007 GARISSA 028 BALAMBALA 20,145 53 007 GARISSA 029 LAGDERA 20,547 46 007 GARISSA 030 DADAAB 25,762 56 007 GARISSA 031 FAFI 19,883 61 007 GARISSA 032 IJARA 22,722 68 008 WAJIR 033 WAJIR NORTH 24,550 76 008 WAJIR 034 WAJIR EAST 26,964 65 008 WAJIR 035 TARBAJ 19,699 50 008 WAJIR 036 WAJIR WEST 27,544 75 008 WAJIR 037 ELDAS 18,676 49 008 WAJIR 038 WAJIR SOUTH 45,469 119 009 MANDERA 039 MANDERA WEST 26,816 58 009 MANDERA 040 BANISSA 18,476 53 009 MANDERA -
County Urban Governance Tools
County Urban Governance Tools This map shows various governance and management approaches counties are using in urban areas Mandera P Turkana Marsabit P West Pokot Wajir ish Elgeyo Samburu Marakwet Busia Trans Nzoia P P Isiolo P tax Bungoma LUFs P Busia Kakamega Baringo Kakamega Uasin P Gishu LUFs Nandi Laikipia Siaya tax P P P Vihiga Meru P Kisumu ga P Nakuru P LUFs LUFs Nyandarua Tharaka Garissa Kericho LUFs Nithi LUFs Nyeri Kirinyaga LUFs Homa Bay Nyamira P Kisii P Muranga Bomet Embu Migori LUFs P Kiambu Nairobi P Narok LUFs P LUFs Kitui Machakos Kisii Tana River Nyamira Makueni Lamu Nairobi P LUFs tax P Kajiado KEY County Budget and Economic Forums (CBEFs) They are meant to serve as the primary institution for ensuring public participation in public finances in order to im- Mom- prove accountability and public participation at the county level. basa Baringo County, Bomet County, Bungoma County, Busia County,Embu County, Elgeyo/ Marakwet County, Homabay County, Kajiado County, Kakamega County, Kericho Count, Kiambu County, Kilifi County, Kirin- yaga County, Kisii County, Kisumu County, Kitui County, Kwale County, Laikipia County, Machakos Coun- LUFs ty, Makueni County, Meru County, Mombasa County, Murang’a County, Nairobi County, Nakuru County, Kilifi Nandi County, Nyandarua County, Nyeri County, Samburu County, Siaya County, TaitaTaveta County, Taita Taveta TharakaNithi County, Trans Nzoia County, Uasin Gishu County Youth Empowerment Programs in urban areas In collaboration with the national government, county governments unveiled -
Geology of the Nairobi Region, Kenya
% % % % % % % % %% %% %% %% %% %% %% % GEOLOGIC HISTORY % %% %% % % Legend %% %% %% %% %% %% %% % % % % % % HOLOCENE: %% % Pl-mv Pka %%% Sediments Mt Margaret U. Kerichwa Tuffs % % % % %% %% % Longonot (0.2 - 400 ka): trachyte stratovolcano and associated deposits. Materials exposed in this map % %% %% %% %% %% %% % section are comprised of the Longonot Ash Member (3.3 ka) and Lower Trachyte (5.6-3.3 ka). The % Pka' % % % % % % L. Kerichwa Tuff % % % % % % Alluvial fan Pleistocene: Calabrian % % % % % % % Geo% lo% gy of the Nairobi Region, Kenya % trachyte lavas were related to cone building, and the airfall tuffs were produced by summit crater formation % % % % % % % % % % % % % % % % % Pna % % % % %% % (Clarke et al. 1990). % % % % % % Pl-tb % % Narok Agglomerate % % % % % Kedong Lake Sediments Tepesi Basalt % % % % % % % % % % % % % % % % %% % % % 37.0 °E % % % % 36.5 °E % % % % For area to North see: Geology of the Kijabe Area, KGS Report 67 %% % % % Pnt %% % PLEISTOCENE: % % %% % % % Pl-kl %% % % Nairobi Trachyte % %% % -1.0 ° % % % % -1.0 ° Lacustrine Sediments % % % % % % % % Pleistocene: Gelasian % % % % % Kedong Valley Tuff (20-40 ka): trachytic ignimbrites and associated fall deposits created by caldera % 0 % 1800 % % ? % % % 0 0 % % % 0 % % % % % 0 % 0 8 % % % % % 4 % 4 Pkt % formation at Longonot. There are at least 5 ignimbrite units, each with a red-brown weathered top. In 1 % % % % 2 % 2 % % Kiambu Trachyte % Pl-lv % % % % % % % % % % %% % % Limuru Pantellerite % % % % some regions the pyroclastic glass and pumice has been -
National Drought Early Warning Bulletin June 2021
NATIONAL DROUGHT MANAGEMENT AUTHORITY National Drought Early Warning Bulletin June 2021 1 Drought indicators Rainfall Performance The month of May 2021 marks the cessation of the Long- Rains over most parts of the country except for the western and Coastal regions according to Kenya Metrological Department. During the month of May 2021, most ASAL counties received over 70 percent of average rainfall except Wajir, Garissa, Kilifi, Lamu, Kwale, Taita Taveta and Tana River that received between 25-50 percent of average amounts of rainfall during the month of May as shown in Figure 1. Spatio-temporal rainfall distribution was generally uneven and poor across the ASAL counties. Figure 1 indicates rainfall performance during the month of May as Figure 1.May Rainfall Performance percentage of long term mean(LTM). Rainfall Forecast According to Kenya Metrological Department (KMD), several parts of the country will be generally dry and sunny during the month of June 2021. Counties in Northwestern Region including Turkana, West Pokot and Samburu are likely to be sunny and dry with occasional rainfall expected from the third week of the month. The expected total rainfall is likely to be near the long-term average amounts for June. Counties in the Coastal strip including Tana River, Kilifi, Lamu and Kwale will likely receive occasional rainfall that is expected throughout the month. The expected total rainfall is likely to be below the long-term average amounts for June. The Highlands East of the Rift Valley counties including Nyeri, Meru, Embu and Tharaka Nithi are expected to experience occasional cool and cloudy Figure 2.Rainfall forecast (overcast skies) conditions with occasional light morning rains/drizzles. -
Corporate Citizenship in Kenya Transforming Business, Technology and Society
IBM Corporate Citizenship & Corporate Affairs Corporate Citizenship in Kenya Transforming business, technology and society IBM’s longstanding, global commitment to corporate responsibility is a Highlights demonstration of our values and the priorities that guide them. By integrating corporate responsibility with business strategy, we contrib- • Kenya is the East African operations ute to the communities in which we do business while engaging our headquarters for IBM, overlooking eight clients, partners and employees. IBM’s technology and talent have the other countries: Tanzania, Uganda, Burundi, Rwanda, Ethiopia, Eritrea, South Sudan and power to help transform governments, institutions, communities and Djibouti. the quality of life for people around the world. Whether it’s improving education, revitalizing cities, protecting the environment or driving • Kenya gives IBM the geographical ability to meet the growing needs of clients in economic growth, IBM and IBMers contribute innovative solutions to dynamic Eastern Africa, as well as the the world’s toughest societal challenges. central and western regions of Africa. “To build a smarter planet — and to run a smarter enterprise — your business and citizenship strategies must be more than aligned. They must become one. This is very different from traditional notions of ‘giving back’ or CSR. Speaking as an IBMer, I believe this comes from the core of our culture, values and purpose as an enterprise — to be essential to our clients and to the world,” says IBM Chairman, Presi- dent and CEO Ginni Rometty. Education IBM’s Teachers TryScience programme expands and reinforces teacher competency, initially focused on math and science. The programme makes available, free of charge, 471 lessons and 73 pedagogical strate- gies in 13 languages. -
Front Section-Pgs I-1.Indd
In Chapter 8 LIST OF MAPS AUTHORS AND CONTRIBUTORS Map 8.1 Upper Tana: Landforms and Rivers Norbert Henninger (WRI) CONTENTS Map 8.2 Upper Tana: Population Density, 1999 Dan Tunstall (WRI) Map 8.3 Upper Tana: Poverty Rate, 1999 Karen Holmes (consultant) u Landscapes, People, and Poverty .... 109 Map 8.4 Upper Tana: Poverty Density, 1999 Greg Mock (consultant) Landforms 110 Map 8.5 Upper Tana: Household Reliance on Ecosystems for Drinking Water Janet Nackoney (WRI) Map 8.6 Upper Tana: High Share of Piped Drinking Water and Poverty Rate Florence Landsberg (WRI) Population, Road Network, and Map 8.7 Upper Tana: Irrigation Efforts and Other Water Uses Mohammed Said (ILRI) Administrative Units 111 Map 8.8 Upper Tana: Small-Scale Irrigation Efforts and Poverty Rate Hyacinth Billings (WRI) Spatial Patterns of Poverty 112 Map 8.9 Upper Tana: Small-Scale Irrigation Efforts and High Share of Piped Stephen Adam (WRI) Drinking Water Carolina de Rosas (WRI) u Water-Related Ecosystem Services .. 113 Map 8.10 Upper Tana: Food Crops as Percentage of All Cropland Indicators Examined 113 Map 8.11 Upper Tana: High Share of Food Crops and Poverty Rate Map 8.12 Upper Tana: Milk Production Drinking Water Use and Poverty 114 Map 8.13 Upper Tana: High Milk Production and Poverty Rate Irrigation Efforts, Other Water Uses, Map 8.14 Upper Tana: High Share of Food Crops and High Milk Production and Poverty 116 Map 8.15 Upper Tana: Average Number of Crops Grown in Cropland Map 8.16 Upper Tana: High Average Number of Crops Grown in Cropland and High Share of Piped Drinking Water and Poverty Rate Small-Scale Irrigation Efforts 118 Map 8.17 Upper Tana: Share of Woodlots in Cropland Map 8.18 Upper Tana: High Share of Woodlots in Cropland and Poverty Rate u Food-Related Ecosystem Services . -
KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis
REPUBLIC OF KENYA KENYA POPULATION SITUATION ANALYSIS Kenya Population Situation Analysis Published by the Government of Kenya supported by United Nations Population Fund (UNFPA) Kenya Country Oce National Council for Population and Development (NCPD) P.O. Box 48994 – 00100, Nairobi, Kenya Tel: +254-20-271-1600/01 Fax: +254-20-271-6058 Email: [email protected] Website: www.ncpd-ke.org United Nations Population Fund (UNFPA) Kenya Country Oce P.O. Box 30218 – 00100, Nairobi, Kenya Tel: +254-20-76244023/01/04 Fax: +254-20-7624422 Website: http://kenya.unfpa.org © NCPD July 2013 The views and opinions expressed in this report are those of the contributors. Any part of this document may be freely reviewed, quoted, reproduced or translated in full or in part, provided the source is acknowledged. It may not be sold or used inconjunction with commercial purposes or for prot. KENYA POPULATION SITUATION ANALYSIS JULY 2013 KENYA POPULATION SITUATION ANALYSIS i ii KENYA POPULATION SITUATION ANALYSIS TABLE OF CONTENTS LIST OF ACRONYMS AND ABBREVIATIONS ........................................................................................iv FOREWORD ..........................................................................................................................................ix ACKNOWLEDGEMENT ..........................................................................................................................x EXECUTIVE SUMMARY ........................................................................................................................xi -
Grazing Conditions in Kenya Masailand'
BURNING FLINT HILLS 269 LITERATURE CITED rainfall by prairie grasses, weeds, range sites to grazing treatment. ALDOUS,A. E. 1934. Effects of burn- and certain crop plants. Ecol. Ecol. Monog. 29: 171-186. ing on Kansas bluestem pastures. Monog. 10: 243-277. HOPKINS, H., F. W. ALBERTSONAND Kans. Agr. Expt. Sta. Bull. 38. 65 p. DYKSTERHUIS,E. J. 1949. Condition A. RIEGEL. 1948. Some effects of ANDERSON,KLING L. 1942. A com- and management of range land burning upon a prairie in west parison of line transects and per- based on quantitative ecology. J. central Kansas. Kans. Acad. Sci. manent quadrats in evaluating Range Manage. 2: 104-115. Trans. 51: 131-141. ELWELL, H. M., H. A. DANIEL AND composition and density of pasture LAUNCHBAUGH,J. L. 1964. Effects of F. A. FENTON. 1941. The effects of vegetation on the tall prairie grass early spring burning_ on yields of type. J. Amer. Sot. Agron. 34: 805- burning pasture and woodland native vegetation. J. Range Man- 822. vegetation. Okla. Agr. Expt. Sta. age. 17: 5-6. Bull. 247. 14 p. ANDERSON,KLINC L. AND C. L. FLY. HANKS, R. J. ANDKLING L. ANDERSON. MCMURPHY,W. E. AND KLING L. AN- 1955. Vegetation-soil relationships 1957. Pasture burning and moisture DERSON.1963. Burning bluestem in Flint Hills bluestem pastures. conservation. J. Soil and Water range-Forage yields. Kans. Acad. J. Range Manage. 8: 163-169. Conserv. 12: 228-229. Sci. Trans. 66: 49-51. BIEBER,G. L. ANDKLING L. ANDERSON. HENSEL,R. L. 1923. Effect of burning SMITH, E. F., K. L. -
Journal of the East Africa Natural History Society and National Museum
JOURNAL OF THE EAST AFRICA NATURAL HISTORY SOCIETY AND NATIONAL MUSEUM 15 October, 1978 Vol. 31 No. 167 A CHECKLIST OF mE SNAKES OF KENYA Stephen Spawls 35 WQodland Rise, Muswell Hill, London NIO, England ABSTRACT Loveridge (1957) lists 161 species and subspecies of snake from East Mrica. Eighty-nine of these belonging to some 41 genera were recorded from Kenya. The new list contains some 106 forms of 46 genera. - Three full species have been deleted from Loveridge's original checklist. Typhlops b. blanfordii has been synonymised with Typhlops I. lineolatus, Typhlops kaimosae has been synonymised with Typhlops angolensis (Roux-Esteve 1974) and Co/uber citeroii has been synonymised with Meizodon semiornatus (Lanza 1963). Of the 20 forms added to the list, 12 are forms collected for the first time in Kenya but occurring outside its political boundaries and one, Atheris desaixi is a new species, the holotype and paratypes being collected within Kenya. There has also been a large number of changes amongst the 89 original species as a result of revisionary systematic studies. This accounts for the other additions to the list. INTRODUCTION The most recent checklist dealing with the snakes of Kenya is Loveridge (1957). Since that date there has been a significant number of developments in the Kenyan herpetological field. This paper intends to update the nomenclature in the part of the checklist that concerns the snakes of Kenya and to extend the list to include all the species now known to occur within the political boundaries of Kenya. It also provides the range of each species within Kenya with specific locality records . -
I. General Overview Six Months After the Contested General Election in Kenya Led to Widespread Post Election Violence (PEV) An
UNITED NATIONS HUMANITARIAN UPDATE vol. 35 4 September – 10 September 2008 Office of the United Nations Humanitarian Coordinator in Kenya HIGHLIGHTS • A crisis situation is emerging in the Mandera districts due to consecutive failed rains; forecasts suggest that the situation may continue to deteriorate after the short rains. • The Kenyan Red Cross reported that there are 13,164 IDPs in 10 main IDP camps; the KRCS, WFP and an interagency assessment noted that there were at least 99,198 IDPs in 160 transit sites; the Government reported that 234,098 IDPs had returned to pre- displacement areas by 28 August. • UNICEF highlighted that over 95,000 children under the age of five and pregnant and breastfeeding women are malnourished. Of that number, 10,000 are severely malnourished. • A diarrhoea outbreak in Bungoma East, Bungoma West and Mount Elgon districts kills six while at least 171 seek treatment according to the Kenya Red Cross. The information contained in this report has been compiled by OCHA from information received from the field, from national and international humanitarian partners and from other official sources. It does not represent a position from the United Nations. This report is posted on: http://ochaonline.un.org/kenya I. General Overview Six months after the contested General Election in Kenya led to widespread post election violence (PEV) and the eventual formation of a Grand Coalition Government, a Gallup Poll was conducted to obtain popular opinions on past grievances, satisfaction with the current leadership and the way forward. Conducted between 19 June and 9 July across all provinces in Kenya, the Poll included a sample of 2,200 people. -
Understanding Urban Environment Problems in the Newly Urbanizing Areas of Kenya, a Case of Narok Town
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 06, JUNE 2019 ISSN 2277-8616 Understanding Urban Environment Problems In The Newly Urbanizing Areas Of Kenya, A Case Of Narok Town Mary Wambui Mwangi Abstract: Like many other countries in developing world, Kenya has been experiencing rapid urbanization. Although urbanization is associated with social and economic transformations, the trend is also associated with an increase in urban environment problems. The environment is considered as the gear to economic activities and the well fare of human beings. It is therefore important to understand the environmental consequences that comes with urbanization so as to safe guard the economy and the well fare of human beings living within and without the urban area. The study was conducted in Narok Town with a major focus of understanding urban environmental problems that the newly urbanizing areas in Kenya are facing. The study was conducted in five areas that make up Narok Town which include Lenana, Total, Majengo, London and the town center. The study was conducted using descriptive survey where questionnaires were administered to the respondents who were selected randomly to identify urban environmental problems in Narok Town. Observation and was also done in the study to identify urban environmental problems in Narok Town. Data that was gathered from the questionnaire was analyzed using SPSS Package version 20.0 and presented in forms of figurers and text. Data from observation was analyzed qualitatively and presented in form of text. The findings of the study indicate that Narok town is experiencing urban environmental problems which include development of slums, inadequate drainage systems.