Estimation and inter-comparison of infiltration models in the agricultural area of the Mitidja Plain, Algeria

IF 2.7 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Amina Mazighi, Hind Meddi, Mohamed Meddi, Ishak Abdi, Giovanni Ravazzani, Mouna Feki
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Abstract

Infiltration is an important part of the hydrological cycle, and it is one of the main abstractions accounted for in the rainfall-runoff modeling. The main purpose of this study is to compare the infiltration models that were used to assess the infiltration rate of the Mitidja Plain in Algeria. Field infiltration tests were conducted at 40 different sites using a double ring infiltrometer. Five statistical comparison criteria including root mean squared error (RMSE), normalized root mean squared error (NRMSE), coefficient of correlation (CC), Nash-Sutcliffe efficiency (NSE), and Kling-Gupta efficiency (KGE) were used to determine the best performing infiltration model and to confirm anomalies between predicted and observed values. Then we evaluated performance of five models (i.e., the Philip model, Kostiakov model, Modified Kostiakov model, Novel model, and Horton model) in simulating the infiltration process based on the adjusted performance parameters cited above. Results indicated that the Novel model had the best simulated water infiltration process in the Mitidja Plain in Algeria. However, the Philip model was the weakest to simulate the infiltration process. The conclusion of this study can be useful for estimating infiltration rate at various sites using a Novel model when measured infiltration data are not available and are useful for planning and managing water resources in the study area.

阿尔及利亚米蒂贾平原农业区渗透模型的估算和相互比较
渗透是水文循环的重要组成部分,也是降雨-径流模型中考虑的主要抽取因素之一。本研究的主要目的是比较用于评估阿尔及利亚米蒂贾平原入渗率的入渗模型。使用双环入渗仪在 40 个不同地点进行了实地入渗测试。我们采用了五种统计比较标准,包括均方根误差 (RMSE)、归一化均方根误差 (NRMSE)、相关系数 (CC)、纳什-萨特克利夫效率 (NSE) 和克林-古普塔效率 (KGE),以确定性能最佳的渗透模型,并确认预测值与观测值之间的异常。然后,我们根据上述调整后的性能参数,评估了五个模型(即菲利普模型、科斯蒂亚科夫模型、修正的科斯蒂亚科夫模型、新颖模型和霍顿模型)在模拟渗透过程中的性能。结果表明,Novel 模型对阿尔及利亚米蒂贾平原的渗水过程模拟效果最好。然而,Philip 模型模拟渗透过程的能力最弱。本研究的结论有助于在没有测量入渗数据的情况下,使用 Novel 模型估算不同地点的入渗率,也有助于研究地区的水资源规划和管理。
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来源期刊
Journal of Arid Land
Journal of Arid Land ENVIRONMENTAL SCIENCES-
CiteScore
4.70
自引率
6.70%
发文量
768
审稿时长
3.2 months
期刊介绍: The Journal of Arid Land is an international peer-reviewed journal co-sponsored by Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Science Press. It aims to meet the needs of researchers, students and practitioners in sustainable development and eco-environmental management, focusing on the arid and semi-arid lands in Central Asia and the world at large. The Journal covers such topics as the dynamics of natural resources (including water, soil and land, organism and climate), the security and sustainable development of natural resources, and the environment and the ecology in arid and semi-arid lands, especially in Central Asia. Coverage also includes interactions between the atmosphere, hydrosphere, biosphere, and lithosphere, and the relationship between these natural processes and human activities. Also discussed are patterns of geography, ecology and environment; ecological improvement and environmental protection; and regional responses and feedback mechanisms to global change. The Journal of Arid Land also presents reviews, brief communications, trends and book reviews of work on these topics.
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