基于意大利新渗透率图的全国水资源预算估算

IF 0.8 Q4 WATER RESOURCES
G. Braca, M. Bussettini, R. M. Gafà, G. Monti, L. Martarelli, A. Silvi, F. La Vigna
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引用次数: 2

摘要

水文预算是水资源可持续管理的基本工具之一。在过去的几十年里,由于人口增长、水污染和气候变化带来的压力越来越大,淡水资源在空间和时间上的分布越来越受到人们的关注。此外,在水文平衡的范围内,意大利特别关注含水层的估算。事实上,超过80%的家庭用水和饮用水来自地下水。在这种背景下,意大利环境保护与研究所(ISPRA)开发了一个数学模型,用于估算国家和宏观区域尺度上的水文预算成分,称为BIGBANG。根据潜在入渗系数(定义为土层下水文地质复合体渗透性的函数),含水层补给量以每月土壤水分剩余的百分比来估计。本文比较了两个主要水文收支组成部分(含水层补给和地表径流)在国家和地方层面的长期年平均估算的差异。这些估算是基于ISPRA制作的新的更详细的意大利渗透率图和BIGBANG预算模型中目前在国家一级使用的水文地质复合体的旧地图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Nationwide Water Budget Estimation in the light of the New Permeability Map of Italy
The hydrological budget is one of the fundamental tools for the sustainable management of water resources. In the last decades, the knowledge of the distribution of freshwater resources in space and time is becoming of great concern due to the growing pressure related to increasing population, water pollution, and climate change. Furthermore, in the scope of hydrological balance, the estimation of aquifer assumes particular concern in Italy. In fact, more than 80% of water withdrawal for domestic and drinkable use is derived from groundwater. In this context, the Italian Institute for Environmental Protection and Research (ISPRA) has developed a mathematical model for estimating the hydrological budget components at a national and macro-regional scale called BIGBANG. The aquifer recharge is estimated as a percentage of the monthly soil water surplus by the potential infiltration coefficient defined as a function of the permeability of the hydrogeological complexes beneath the soil layer. In this paper, a comparison highlighting the differences between the estimations of the long-term annual average of two of the main hydrological budget components, aquifer recharge and surface runoff, at national and sub-national levels, is carried out. The estimations are based on the new and more detailed Permeability Map of Italy produced by ISPRA and on the old map of the hydrogeological complexes currently used at national level used so far in the BIGBANG budget model.
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来源期刊
CiteScore
1.80
自引率
50.00%
发文量
36
审稿时长
8 weeks
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