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An Integrated Hydrological and Water Management Study of the Entire Nile River System - Lake Victoria to Nile Delta

机译:整个尼罗河系统(维多利亚湖至尼罗河三角洲)的水文和水管理综合研究

摘要

The Nile basin River system spans 3 million km(exp 2) distributed over ten nations. The eight upstream riparian nations, Ethiopia, Eretria, Uganda, Rwanda, Burundi, Congo, Tanzania and Kenya are the source of approximately 86% of the water inputs to the Nile, while the two downstream riparian countries Sudan and Egypt, presently rely on the river's flow for most of the their needs. Both climate and agriculture contribute to the complicated nature of Nile River management: precipitation in the headwaters regions of Ethiopia and Lake Victoria is variable on a seasonal and inter-annual basis, while demand for irrigation water in the arid downstream region is consistently high. The Nile is, perhaps, one of the most difficult trans-boundary water issue in the world, and this study would be the first initiative to combine NASA satellite observations with the hydrologic models study the overall water balance in a to comprehensive manner. The cornerstone application of NASA's Earth Science Research Results under this project are the NASA Land Data Assimilation System (LDAS) and the USDA Atmosphere-land Exchange Inverse (ALEXI) model. These two complementary research results are methodologically independent methods for using NASA observations to support water resource analysis in data poor regions. Where an LDAS uses multiple sources of satellite data to inform prognostic simulations of hydrological process, ALEXI diagnoses evapotranspiration and water stress on the basis of thermal infrared satellite imagery. Specifically, this work integrates NASA Land Data Assimilation systems into the water management decision support systems that member countries of the Nile Basin Initiative (NBI) and Regional Center for Mapping of Resources for Development (RCMRD, located in Nairobi, Kenya) use in water resource analysis, agricultural planning, and acute drought response to support sustainable development of Nile Basin water resources. The project is motivated by the recognition that accurate, frequent, and spatially distributed estimates of the water balance are necessary for effective water management. This creates a challenge for watersheds that are large, include data poor regions, and/or span multiple nations. All of these descriptors apply to the Nile River basin, yet successful management of the Nile is critical for development and political stability in the region. For this reason, improved hydrological data to support cooperative water management in the Nile basin is a priority for USAID, the US State Department, the World Bank and other international organizations. In this project, the U.S. based research team is working with partners at RCMRD, Nile Basin Initiative (NBI), and their member national-level agencies to develop satellite-based land cover maps, satellite-derived evapotranspiration estimates (using the ALEXI algorithm), and NASA's Land Data Assimilation System (LDAS) customized to match identified information needs. The cornerstone applied sciences product of the project is the development of a customized "Nile LDAS" that will produce optimal estimates of hydrological states and fluxes, as vetted against the in situ observations of NBI and RCMRD member organizations and independent satellite-derived hydrological estimates. Nile LDAS will be applied to improve the reliability of emerging Decision Support Systems in applications that include drought monitoring, reservoir management, and irrigation planning. The end-users such as RCMRD, NBI, Ethiopian and Kenya Meteorological and Famine Early Warning System Network (FEWSNet) will be the eventual benefactors of this work. There will be a capacity building process involving the above end-user organizations and transfer the models and the results for these organizations to execute for future use. The team has already initiated this study and the early results of first years' work are shown. The plan is to complete this work by late 2013.
机译:尼罗河流域河流系统跨越300万公里(exp 2),分布在十个国家。八个上游河岸国家,埃塞俄比亚,埃雷特里亚,乌干达,卢旺达,布隆迪,刚果,坦桑尼亚和肯尼亚是尼罗河约86%的水输入来源,而两个下游河岸国家苏丹和埃及目前依赖于河流的流量满足了他们的大部分需求。气候和农业都加剧了尼罗河管理的复杂性:埃塞俄比亚和维多利亚湖的源头地区的降水量在季节和年度间变化,而干旱的下游地区对灌溉水的需求一直很高。尼罗河也许是世界上最困难的跨境水问题之一,这项研究将是将NASA卫星观测结果与水文模型结合起来以全面研究整体水平衡的第一个举措。在该项目下,NASA的地球科学研究成果的基础应用是NASA土地数据同化系统(LDAS)和USDA大气-土地交换逆模型(ALEXI)。这两个互补的研究结果是使用NASA观测数据来支持数据贫乏地区的水资源分析的方法学独立方法。在LDAS使用多个卫星数据源来提供水文过程的预后模拟的情况下,ALEXI会根据红外热卫星图像诊断蒸散量和水分胁迫。具体来说,这项工作将NASA土地数据同化系统整合到水资源管理决策支持系统中,尼罗河流域倡议(NBI)成员国和开发资源图区域中心(RCMRD,位于肯尼亚内罗毕)的成员国在水资源中使用分析,农业规划和急性干旱反应,以支持尼罗河流域水资源的可持续发展。该项目的动机是认识到有效,有效地进行水管理需要准确,频繁且在空间上分布的水平衡估计值。这给大范围,包括数据贫乏地区和/或跨越多个国家的流域带来了挑战。所有这些描述符都适用于尼罗河流域,但是成功地管理尼罗河对于该地区的发展和政治稳定至关重要。因此,对于美国国际开发署,美国国务院,世界银行和其他国际组织而言,优先考虑改进水文数据以支持尼罗河流域的合作水管理。在该项目中,美国研究团队正在与RCMRD,尼罗河流域倡议(NBI)及其成员的国家级机构的合作伙伴合作,开发基于卫星的土地覆盖图,基于卫星的蒸散量估算值(使用ALEXI算法)以及NASA的土地数据同化系统(LDAS)进行了定制,以匹配已确定的信息需求。该项目的基础应用科学产品是开发定制的“尼罗河LDAS”,它将对水文状态和流量进行最佳估计,这与NBI和RCMRD成员组织的现场观测以及独立的卫星水文估计进行了审查。尼罗河LDAS将用于提高新兴决策支持系统在干旱监测,水库管理和灌溉计划等应用中的可靠性。诸如RCMRD,NBI,埃塞俄比亚和肯尼亚气象与饥荒早期预警系统网络(FEWSNet)的最终用户将成为这项工作的最终受益者。将有一个涉及上述最终用户组织的能力建设过程,并将模型和结果转移给这些组织以供将来使用。团队已经开始了这项研究,并显示了第一年工作的早期结果。计划在2013年底之前完成这项工作。

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