Your search found 5 records
1 Emerton, L. (Ed.) 2005. Values and rewards: Counting and capturing ecosystem water services for sustainable development. Colombo, Sri Lanka: International Union for Conservation of Nature (IUCN). 93p. (IUCN water, nature and economics technical paper no.1)
Wetlands ; Ecosystems ; Water allocation ; Tanks ; Irrigated farming ; Economic evaluation ; River basins ; Flood plains ; Mangroves ; Water resource management ; Forests ; Wastewater ; Water purification / Zambia / Cambodia / Sri Lanka / Cameroon / Pakistan / Kenya / Laos / Tanzania / Uganda / Barotse Floodplain / Ream National Park / Stoeng Treng Ramsar Site / Kala Oya River Basin / Waza Logone Floodplain / Indus Delta / Tana River / Sekong Province / Pangani Basin / Nakivubo Swamp / Muthurajawela Wetland / Luang Marsh / Vientiane
(Location: IWMI-HQ Call no: 333.91 G000 EME Record No: H038962)
2 Emerton, L. (Ed.) 2005. Values and rewards: counting and capturing ecosystem water services for sustainable development. Colombo, Sri Lanka: International Union for Conservation of Nature (IUCN), Ecosystems and Livelihoods Group Asia. 93p.
Ecosystems ; Economic evaluation ; Decision making ; River basin management ; Wetlands ; Mangroves ; Floodplains ; Tanks ; Irrigated farming ; Cost benefit analysis ; Case studies ; Salt water intrusion ; Forests ; Water power ; Water supply / Zambia / Cambodia / Sri Lanka / Cameroon / Pakistan / Kenya / Laos / Tanzania / Uganda / Zambezi River / Barotse Floodplain / Ream National Park / Kala Oya River Basin / Muthurajawela Wetland / Stoeng Treng Ramsar Site / Waza Logone Floodplain / Indus Delta / Tana River / Sekong Province / Pangani Basin / Nakivubo Swamp / Luang Marsh
(Location: IWMI HQ Call no: 577 G000 EME Record No: H040655)
(0.39 MB)
3 World Bank. 2010. The Zambezi River Basin: a multi-sector investment opportunities analysis. Vol. 3 - State of the basin. Washington, DC, USA: World Bank. 182p.
River basin development ; Hydrology ; Investment ; Population ; Economic analysis ; Socioeconomic environment ; Climate change ; Rain ; Runoff ; Flooding ; Drought ; Poverty ; Income ; Living conditions ; Energy generation ; Water power ; Irrigated farming ; Irrigation development ; Agricultural production ; Wetlands ; Floodplains ; Fisheries ; Tourism ; Water supply ; Domestic water ; Water use ; Water quality ; Water pollution ; International waters ; International cooperation ; Institutions ; Information management / Africa / Angola / Botswana / Malawi / Mozambique / Namibia / Tanzania / Zambia / Zimbabwe / Zambezi River Basin / Barotse Floodplain / Eastern Chobe-Caprivi Wetlands / Kafue Wetlands / Lower Shire Wetlands / Luangwa Wetlands / Zambezi Delta
(Location: IWMI HQ Call no: e-copy only Record No: H044946)
http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2010/12/14/000333038_20101214044509/Rendered/PDF/584040V30WP0Wh110State0of0the0Basin.pdf?
https://vlibrary.iwmi.org/pdf/H044946.pdf
https://vlibrary.iwmi.org/pdf/H044946.pdf
(8.47 MB) (8.85MB)
The Zambezi River Basin (ZRB) is one of the most diverse and valuable natural resources in Africa. Its waters are critical to sustainable economic growth and poverty reduction in the region. In addition to meeting the basic needs of some 30 million people and sustaining a rich and diverse natural environment, the river plays a central role in the economies of the eight riparian countries—Angola, Botswana, Malawi, Mozambique, Namibia, Tanzania, Zambia, and Zimbabwe. It provides important environmental goods and services to the region and is essential to regional food security and hydropower production. Because the Zambezi River Basin is characterized by extreme climatic variability, the River and its tributaries are subject to a cycle of floods and droughts that have devastating effects on the people and economies of the region, especially the poorest members of the population.
4 Zimba, H.; Kawawa, B.; Chabala, A.; Phiri, W.; Selsam, P.; Meinhardt, M.; Nyambe, I. 2018. Assessment of trends in inundation extent in the Barotse Floodplain, upper Zambezi River Basin: a remote sensing-based approach. Journal of Hydrology: Regional Studies, 15:149-170. [doi: https://doi.org/10.1016/j.ejrh.2018.01.002]
Flooding ; River basins ; Floodplains ; Discharges ; Assessment ; Remote sensing ; Water levels ; Satellite imagery ; Landsat ; Wetlands ; Rain ; Time series analysis / Zambia / Zambezi River Basin / Barotse Floodplain
(Location: IWMI HQ Call no: e-copy only Record No: H048535)
https://www.sciencedirect.com/science/article/pii/S2214581817300575/pdfft?md5=5c58dd751d58befa140e668ce9df8cea&pid=1-s2.0-S2214581817300575-main.pdf
https://vlibrary.iwmi.org/pdf/H048535.pdf
https://vlibrary.iwmi.org/pdf/H048535.pdf
(3.08 MB) (3.08 MB)
Study region: The annually flooded Barotse Floodplain in the upper Zambezi River Basin in the Western Province of Zambia, Southern Africa.
Study focus: Discharge variability plays a significant role in inundation extent and thus it controls habitat conditions of river channels and the linked wetlands. The linkage between discharge and inundation extent in the Barotse Floodplain allowed us to analyse the trends in extent overtime using optical satellite imagery MODIS. The Desert Flood Index, a surface water extraction algorithm, was used to generate time series of inundation extent. For validation of the inundation extent we used a flood mask extracted from a supervised classification land cover map using Landsat imagery. The land cover map was validated using the error matrix method with ground truthed data. The estimated inundation extent time series enabled us to test the inundation correlation with discharge and water level using Pearson r correlation, a parametric statistical test. Based on the established correlation we used the Mann–Kendall, a non-parametric test, to analyse trends in the inundation extent and discharge and water level time series from which we made inferences on the direction of the historical trend in inundation extent.
New hydrological insights for the region: The results revealed that there is observable inter-annual variability in inundation extent in the Barotse Floodplain with prominent differences demonstrated in both the flood ascending/peak and receding period. For the period 2003–2013 the results indicated a rising trend in inundation extent with a Mann–Kendall Z statistic of 1.71 and increase in magnitude of 33.1 km2 at significance level alpha of 0.05. Strong correlations between inundation extent and water level and between inundation extent and discharge with correlation coefficients of determination of 0.86 and 0.89 respectively were observed. For the period 2000–2011 water level time series showed a rising trend with the Mann–Kendall Z statistic of 2.97 and increase in magnitude of 0.1 m at significance level alpha of 0.05. Overall, during the period 1952–2004 discharge in the floodplain showed a declining trend with Mann–Kendall Z statistics of -2.88 and -3.38 at the inlet and outlet of the floodplain respectively. By correlation inference, the overall inundation extent trend in the floodplain was in a downward movement. Rainfall and discharge variability, high evapotranspiration and the changes in the land cover-use in the catchment of the floodplain are largely the factors affecting the observed variability and trends in inundation extent in the floodplain. The presented remote sensing based approach significantly reduces the need for the expensive and time limiting traditional physical field based wetland inundation mapping methods that form a limitation for achieving progress in wetland monitoring especially in open and sparsely gauged floodplains such as the Barotse.
Study focus: Discharge variability plays a significant role in inundation extent and thus it controls habitat conditions of river channels and the linked wetlands. The linkage between discharge and inundation extent in the Barotse Floodplain allowed us to analyse the trends in extent overtime using optical satellite imagery MODIS. The Desert Flood Index, a surface water extraction algorithm, was used to generate time series of inundation extent. For validation of the inundation extent we used a flood mask extracted from a supervised classification land cover map using Landsat imagery. The land cover map was validated using the error matrix method with ground truthed data. The estimated inundation extent time series enabled us to test the inundation correlation with discharge and water level using Pearson r correlation, a parametric statistical test. Based on the established correlation we used the Mann–Kendall, a non-parametric test, to analyse trends in the inundation extent and discharge and water level time series from which we made inferences on the direction of the historical trend in inundation extent.
New hydrological insights for the region: The results revealed that there is observable inter-annual variability in inundation extent in the Barotse Floodplain with prominent differences demonstrated in both the flood ascending/peak and receding period. For the period 2003–2013 the results indicated a rising trend in inundation extent with a Mann–Kendall Z statistic of 1.71 and increase in magnitude of 33.1 km2 at significance level alpha of 0.05. Strong correlations between inundation extent and water level and between inundation extent and discharge with correlation coefficients of determination of 0.86 and 0.89 respectively were observed. For the period 2000–2011 water level time series showed a rising trend with the Mann–Kendall Z statistic of 2.97 and increase in magnitude of 0.1 m at significance level alpha of 0.05. Overall, during the period 1952–2004 discharge in the floodplain showed a declining trend with Mann–Kendall Z statistics of -2.88 and -3.38 at the inlet and outlet of the floodplain respectively. By correlation inference, the overall inundation extent trend in the floodplain was in a downward movement. Rainfall and discharge variability, high evapotranspiration and the changes in the land cover-use in the catchment of the floodplain are largely the factors affecting the observed variability and trends in inundation extent in the floodplain. The presented remote sensing based approach significantly reduces the need for the expensive and time limiting traditional physical field based wetland inundation mapping methods that form a limitation for achieving progress in wetland monitoring especially in open and sparsely gauged floodplains such as the Barotse.
5 Makungu, E.; Hughes, D. A. 2021. Understanding and modelling the effects of wetland on the hydrology and water resources of large African river basins. Journal of Hydrology, 603(Part C):127039. [doi: https://doi.org/10.1016/j.jhydrol.2021.127039]
River basins ; Water resources ; Wetlands ; Hydrological modelling ; Floodplains ; Uncertainty / Africa / Zambia / Zambezi River Basin / Luangwa River Basin / Luangwa Floodplain / Barotse Floodplain
(Location: IWMI HQ Call no: e-copy only Record No: H050822)
https://www.sciencedirect.com/science/article/pii/S0022169421010891/pdfft?md5=13945e03aef2e1362c10fd16ef7e3a3b&pid=1-s2.0-S0022169421010891-main.pdf
https://vlibrary.iwmi.org/pdf/H050822.pdf
https://vlibrary.iwmi.org/pdf/H050822.pdf
(6.51 MB) (6.51 MB)
Wetlands are important components of many large river systems. Some basin scale hydrological models do include explicit sub-models to deal with wetland impacts, but one of the key challenges is to estimate appropriate parameter values to represent the channel-wetland exchange processes. A combined modelling approach is applied in this study and involves the use of the detailed, daily time-step, LISFLOOD-FP hydraulic model to improve the understanding of channel-wetland exchange dynamics and to quantify the wetland parameters of a basin scale hydrological model. While there remain, many uncertainties associated with a lack of sufficient validation data, the LISFLOOD-FP results largely reflect the physical characteristics of the two floodplains (the Luangwa and Barotse in the Zambezi River basin). The LISFLOOD-FP results were also used to estimate the wetland parameters of the basin scale hydrological model with greater confidence and improved the downstream simulations results (albeit marginally). The results suggest that the influence of the floodplain on the monthly Luangwa flow regime is minimal, whereas the Barotse floodplain significantly attenuates the high flows and regulates the low flows of the Upper Zambezi River. The approach implemented in this study presents an important step towards the improvements of water resource assessments modelling for research and practical purposes in data-scarce river basins, however, further work is required to refine the model setup using additional field information related to exchange dynamics as well as high quality remote sensing data.
Powered by DB/Text WebPublisher, from
