scholarly journals Assessing the impact of climate variability and climate change on runoff in West Africa: the case of Senegal and Nakambe River basins

2011 ◽  
Vol 12 (1) ◽  
pp. 109-115 ◽  
Author(s):  
H. Karambiri ◽  
S. G. García Galiano ◽  
J. D. Giraldo ◽  
H. Yacouba ◽  
B. Ibrahim ◽  
...  
2015 ◽  
Vol 17 (3) ◽  
pp. 594-606 ◽  

<div> <p>The impact of climate change on water resources through increased evaporation combined with regional changes in precipitation characteristics has the potential to affect mean runoff, frequency and intensity of floods and droughts, soil moisture and water supply for irrigation and hydroelectric power generation. The Ganga-Brahmaputra-Meghna (GBM) system is the largest in India with a catchment area of about 110Mha, which is more than 43% of the cumulative catchment area of all the major rivers in the country. The river Damodar is an important sub catchment of GBM basin and its three tributaries- the Bokaro, the Konar and the Barakar form one important tributary of the Bhagirathi-Hughli (a tributary of Ganga) in its lower reaches. The present study is an attempt to assess the impacts of climate change on water resources of the four important Eastern River Basins namely Damodar, Subarnarekha, Mahanadi and Ajoy, which have immense importance in industrial and agricultural scenarios in eastern India. A distributed hydrological model (HEC-HMS) has been used on the four river basins using HadRM2 daily weather data for the period from 2041 to 2060 to predict the impact of climate change on water resources of these river systems.&nbsp;</p> </div> <p>&nbsp;</p>


2021 ◽  
Author(s):  
Marthe Montcho ◽  
Elie Antoine Padonou ◽  
Marlise Montcho ◽  
Meshack Nzesei Mutua ◽  
Brice Sinsin

Abstract In West Africa, dairy production plays a vital role in the economy and the wellbeing of the population. Currently, dairy production has become vulnerable due to climate variability. The main objective of this study was to investigate dairy farmers’ perceptions and adaptation strategies towards climate change in West Africa. Individual interview and Focus Group Discussions were conducted among 900 dairy farmers. Descriptive statistics and Chi-square test were used to assess dairy farmers’ perception on climate change. Multiple Correspondence Analysis and hierarchical clustering on principal component analysis were used to access the adaptation strategies of dairy farmers. The results revealed that dairy farmers perceived a decrease in the rainy season and the annual rainfall but an increase of the dry season and the annual temperature that affect their activities. Dairy farmers that fed the cattle mainly with natural pastures, crops residues and agroindustrial by-products in the climate zones of Benin, Burkina Faso and Niger, used as climate change adaptation strategies, transhumance in wetland, animal manure to improve fodder production and quality; plants to improve milk production, milk conservation and to treat animal diseases. They sold milk or produced local cheese with the remaining unsold milk. They use crops residues, mineral supplements, herd size reduction; water supply with community pastoral wells and dams, purchase water. Dairy farmers that mainly invested in fodder production and conservation in the climate zones of Mali, sold milk produced to dairies and cheese production units; used plants to improve milk production, pasteurization for milk conservation and veterinary service for animal care. This study provided relevant information for West African policymakers in designing appropriate policies and programs to assist dairy farmers to improve milk production under climate variability and change.


2015 ◽  
Vol 19 (1) ◽  
pp. 379-387 ◽  
Author(s):  
I. Andrés-Doménech ◽  
R. García-Bartual ◽  
A. Montanari ◽  
J. B. Marco

Abstract. Measuring the impact of climate change on flood frequency is a complex and controversial task. Identifying hydrological changes is difficult given the factors, other than climate variability, which lead to significant variations in runoff series. The catchment filtering role is often overlooked and thus may hinder the correct identification of climate variability signatures on hydrological processes. Does climate variability necessarily imply hydrological variability? This research aims to analytically derive the flood frequency distribution based on realistic hypotheses about the rainfall process and the rainfall–runoff transformation. The annual maximum peak flow probability distribution is analytically derived to quantify the filtering effect of the rainfall–runoff process on climate change. A sensitivity analysis is performed according to typical semi-arid Mediterranean climatic and hydrological conditions, assuming a simple but common scheme for the rainfall–runoff transformation in small-size ungauged catchments, i.e. the CN-SCS model. Variability in annual maximum peak flows and its statistical significance are analysed when changes in the climatic input are introduced. Results show that depending on changes in the annual number of rainfall events, the catchment filtering role is particularly significant, especially when the event rainfall volume distribution is not strongly skewed. Results largely depend on the return period: for large return periods, peak flow variability is significantly affected by the climatic input, while for lower return periods, infiltration processes smooth out the impact of climate change.


Author(s):  
Haruna Maama ◽  
Ferina Marimuthu

The study investigated the impact of climate change accounting on the value growth of financial institutions in West Africa. The study used 10 years of annual reports of 47 financial institutions in Ghana and Nigeria. The climate change disclosure scores were determined based on the task force's recommended components on climate-related financial disclosure. A panel data regression technique was used for the analysis. The study found a positive and significant relationship between climate change accounting and the value of financial institutions in West Africa. This result implies that the firms' value would improve should they concentrate and enhance their climate change disclosure activities. The findings also revealed that the impact of climate change accounting on the value of financial institutions is positively and significantly higher in countries with stronger investor protection. These findings enable us to expand our understanding of the process of generating value for investors in financial institutions and society, generally.


Author(s):  
Robert David Lubalo Onyango ◽  
Christopher Oludhe ◽  
Doris Amwata

Global warming effects have far reaching impacts of livelihoods of many rural communities including fishers. It is in record that fishing accounts for world’s 36 million fishers nearly 1.5 billion consumers who rely on fish for their dietary animal protein. Past studies have concentrated on fisher communities and climate variability in marine waters and oceans; mainly investigating the impact of climate variability on fish distribution and production. Limited focus has addressed the interaction between impacts of climate change on the fishing activities on inland and fresh waters such as in Lake Victoria and the fishers coping and adapting with changes and variability of climate. The discussions in this article focused on Lake Victoria shore location of Mbita where the livelihood of local community is largely fishing. The objectives were to: Determine the influence of gender on access and control of fisher resources for climate adaptation in Mbita sub-county; Document the current coping strategies and constraints to Climate variability/change in Mbita sub-county. The study used a constructivist epistemology and the mixed methods research design to help it achieve its findings. Yamane’s formula (1964) is used to get the sample size of 388 respondents out of a population of 13191. Primary data was collected through use of  questionnaires, interview schedules for KII and FGDs. Secondary data collection was collected through document reviews of relevant past studies reports and working papers on  (temperature/rainfall data) of Mbita for the last 30 years data to get the trend of these elements and to determine climate variability and change. The instruments were validated using experts’ content validity with the supervisors. Piloting was used to ascertain reliability of the instruments Analysis was accomplished using Statistical Packages for Social Sciences. Presentation was done in descriptive and inferential statistics. The study found that there was gender discrimination in access and control of resources which support adaptive activities that makes women more vulnerable to Climate Variability/Change hazards and disasters. The study further found that adaptation  requires access and control of factors of production which were traditionally under the control of male fishers making women more vulnerable and susceptible to surviving through chamas and table banking activities. Statistically access to and control was significant to adaptation at p-value of 0.000. Under coping strategies the study found that adaptation required transformation of mind set that called for bigger investment which required the collaboration and consultation of entire Mbita community and county government to address environmental and conservative resource utility. The study concluded that lack of alternative livelihood opportunities/options is the major constraints to adaptation for people living in the Lake Victoria region escalated with limitation of skills outside fishing industry, limitation of other employable professional skills including lack of capital. The study recommends a transdiciplinary concientization of adaptive strategies which can translate into flexible and sustainable climate change adaptation and gender inclusive livelihood activities. Future research should explore participatory action research on environmental influences affecting CCA by comparing findings across other beaches and livelihoods to see if gendered resources have any role in their adaptation.


2020 ◽  
Author(s):  
Satoshi Watanabe

&lt;p&gt;In this study, a methodology that uses super ensemble simulation with appropriate bias correction for river planning was proposed. The Database for Policy Decision-Making for Future Climate Change (d4PDF) is a super ensemble experiments that comprise over 1000-year output have been conducted. The d4PDF provides regional downscaling simulation that focuses around Japan. It is expected that the impact assessments of climate changes on various fields considering uncertainly are conducted.&lt;/p&gt;&lt;p&gt;The impact of climate change on floods is a serious issue. In Japan, all class A river has design rainfall for the river planning that is defined considering historical observations of precipitation that happens once in several hundred years, which the planning year is different depending on the situation of a river. The design rainfall provides the fundamental information for planning river management.&amp;#160; The Ministry of Land, Infrastructure, Transportation and Tourism defines the value of the rainfall in the planning year in each class A river basin by considering the hydro-meteorological and social characteristics of each basin. As the design rainfall was defined in the mid-1900s for most of the rivers, the method to estimate precipitation in the planning year was conducted with limited observation data using extreme statistical value. The super ensemble simulation data is expected to contribute for the decision making with appropriate setting of design rainfall.&lt;/p&gt;&lt;p&gt;We proposed a method to correct the bias of super ensemble simulation and estimated the design rainfall in 47 river basins selected from class A river basins. The estimated design rainfall was compared between the one estimated with super ensemble simulation and the one estimated with conventional approach. The spread of results oriented from super ensemble simulation indicated that uncertainly of design rainfall estimated with conventional approach was so high that the consideration of uncertainty is necessary for river planning. The experiments indicated that the use of super ensemble simulation with appropriate bias correction could provide knowledge that aids us in understanding the hydrological extremes.&lt;/p&gt;


Author(s):  
Kenneth Ofori-Boateng ◽  
Baba Insah

Purpose – The study aimed at examining the current and future impact of climate change on cocoa production in West Africa. Design/methodology/approach – A translog production function based on crop yield response framework was used. A panel model was estimated using data drawn from cocoa-producing countries in West Africa. An in-sample simulation was used to determine the predictive power of the model. In addition, an out-sample simulation revealed the effect of future trends of temperature and precipitation on cocoa output. Findings – Temperature and precipitation play a considerable role in cocoa production in West Africa. It was established that extreme temperature adversely affected cocoa output in the sub-region. Furthermore, increasing temperature and declining precipitation trends will reduce cocoa output in the future. Practical implications – An important implication of this study is the recognition that lagging effects are the determinants of cocoa output and not coincident effects. This finds support from the agronomic point of view considering the gestation period of the cocoa crop. Originality/value – Although several studies have been carried out in this area, this study modeled and estimated the interacting effects of factors that influence cocoa production. This is closer to reality, as climatic factors and agricultural inputs combine to yield output.


Hydrology ◽  
2018 ◽  
Vol 5 (1) ◽  
pp. 21 ◽  
Author(s):  
Ansoumana Bodian ◽  
Alain Dezetter ◽  
Lamine Diop ◽  
Abdoulaye Deme ◽  
Koffi Djaman ◽  
...  

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