确保粮食和水安全的水资源管理

Z. Dokou
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摘要

今天,大多数国家的水资源面临着前所未有的压力。鉴于全球人口的快速增长,世界银行预计到2030年,水资源供需缺口将达到40%。此外,气候变化、极端气候和长期缺水正威胁着全球水安全。为了实现可持续性和加强水安全,各国正在投资开发水资源管理工具,使它们能够在不确定性日益增加的情况下做出最佳决策。埃塞俄比亚的青尼罗河流域(BNB)贡献了尼罗河流量的60%以上,其水管理决策深刻地影响着整个东非。尽管BNB拥有通过灌溉农业和水电开发推动区域经济增长的物质资源,但其异常的气候多变性和对气候变化的敏感性限制了这一发展。本讲座将从总体上讨论BNB的水资源管理,并更具体地关注蓝尼罗河的源头塔纳湖地区的综合地表水-地下水模型的发展,该模型可作为优化水资源管理的工具。讨论并比较了基于物理模型和数据驱动模型的模型仿真。挑战是多方面的——从激发建立一个涉及高中生的公民科学倡议的可用原位数据的稀缺性开始,到创建一个准确的概念模型表示并将模型参数化以尽可能接近现实。这里介绍的工作是由NSF(美国国家科学基金会)资助的国际研究与教育伙伴关系项目的一部分。该项目是一项多年合作项目,旨在打造最先进的工具,使BNB的小农能够在日益严峻的极端气候条件下做出有关水、作物和肥料的实际决策,并最终获得更安全的食物和水(http://pire.engr.uconn.edu)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water Resources Management for Ensuring Food and Water Security
Today, water resources of most countries are under unprecedented stress. Given the fast growth of the global population, a 40% shortage between water demand and supply is projected by the World Bank by 2030. Moreover, climate change, climatic extremes and chronic water scarcity are threatening global water security. To achieve sustainability and strengthen water security, countries are investing in water resources management tools that will enable them to make optimal decisions under increasing uncertainty.The Blue Nile Basin (BNB), Ethiopia contributes over 60% of the Nile flow, and its water management decisions deeply influence all of East Africa. Despite the fact that the BNB has the physical resources to drive regional economic growth through irrigated agriculture and hydropower development, its exceptional climate variability and sensitivity to climate change have limited this development.This lecture will discuss water resources management of the BNB in general with a more specific focus on the development of an integrated surface water-groundwater model of the Lake Tana region, the source of the Blue Nile, which can be used as a tool for optimal water resources management. Model simulations using both a physically-based and a data-driven model are discussed and compared. The challenges are multiple – starting from the scarcity of the available in-situ data that inspired the establishment of a citizen science initiative involving high school students, to creating an accurate conceptual model representation and parameterizing the model to match reality as close as possible.The work presented here is part of an NSF (National Science Foundation) funded PIRE (Partnerships for International Research and Education) project. This project is a multi-year collaborative endeavor that aims to craft state-of-the-art tools to enable smallholder farmers in the BNB make practical decisions about water, crops and fertilizers and ultimately gain more secure access to food and water in the face of increasingly challenging climatic extremes (http://pire.engr.uconn.edu).
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