de Oliveira Antonio Krishnamurti Beleño, Rezende Osvaldo Moura, de Sousa Matheus Martins, Nardini Andrea, Miguez Marcelo Gomes
Programa de Engenharia Civil/COPPE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil E-mail:
Programa de Engenharia Ambiental, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil.
Water Sci Technol. 2019 Jun;79(11):2095-2105. doi: 10.2166/wst.2019.211.
The city of Riohacha (Colombia) has a complex urban setting that, under the pressure of recurring intense rains, experiences increasing flood damage. With the aim of identifying a systemic solution to flood problems, a hydrodynamic mathematical modelling exercise was conducted. Within the modelling process, calibration and validation are two fundamental actions that must precede the use of the model. However, most of the river basins around the world lack hydrometeorological information, which is indispensable for the calibration process. This paper presents an original approach to collecting such information for the calibration process, based on interviewing inhabitants. The results of this effort were surprisingly good, when considering the kind of approximations involved in using people's answers as hard data. This encouraged us to promote it as a working solution for many other similar cases, which all suffer from lack of suitable data.
里奥阿查市（哥伦比亚）有着复杂的城市环境，在频繁暴雨的压力下，洪水造成的破坏日益严重。为了找到解决洪水问题的系统方案，开展了一次水动力数学建模工作。在建模过程中，校准和验证是使用该模型之前必须进行的两项基本操作。然而，世界上大多数流域都缺乏水文气象信息，而这对于校准过程来说是必不可少的。本文提出了一种基于采访居民来收集校准所需此类信息的原创方法。考虑到将人们的回答用作确凿数据所涉及的近似程度，这项工作的结果出奇地好。这鼓励我们将其作为许多其他类似案例的可行解决方案加以推广，这些案例都面临着缺乏合适数据的问题。
