کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5771289 1629908 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research papersEstimation of available water capacity components of two-layered soils using crop model inversion: Effect of crop type and water regime
ترجمه فارسی عنوان
ارزیابی اجزای ظرفیت آب موجود در خاکهای دو لایه با استفاده از مدل معکوس مدل محصول: اثر نوع محصول و رژیم آب
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- Crop model inversion is a powerful method for estimating available water content components.
- It was evaluated on a large field experiment dataset (4 crops, 45 situations).
- Interaction between crop type and soil water regime highly impacted the quality of estimation.
- Mean relative error of estimated properties varied between 5 and 20% in favorable conditions.

Characterization of the soil water reservoir is critical for understanding the interactions between crops and their environment and the impacts of land use and environmental changes on the hydrology of agricultural catchments especially in tropical context. Recent studies have shown that inversion of crop models is a powerful tool for retrieving information on root zone properties. Increasing availability of remotely sensed soil and vegetation observations makes it well suited for large scale applications. The potential of this methodology has however never been properly evaluated on extensive experimental datasets and previous studies suggested that the quality of estimation of soil hydraulic properties may vary depending on agro-environmental situations. The objective of this study was to evaluate this approach on an extensive field experiment. The dataset covered four crops (sunflower, sorghum, turmeric, maize) grown on different soils and several years in South India. The components of AWC (available water capacity) namely soil water content at field capacity and wilting point, and soil depth of two-layered soils were estimated by inversion of the crop model STICS with the GLUE (generalized likelihood uncertainty estimation) approach using observations of surface soil moisture (SSM; typically from 0 to 10 cm deep) and leaf area index (LAI), which are attainable from radar remote sensing in tropical regions with frequent cloudy conditions. The results showed that the quality of parameter estimation largely depends on the hydric regime and its interaction with crop type. A mean relative absolute error of 5% for field capacity of surface layer, 10% for field capacity of root zone, 15% for wilting point of surface layer and root zone, and 20% for soil depth can be obtained in favorable conditions. A few observations of SSM (during wet and dry soil moisture periods) and LAI (within water stress periods) were sufficient to significantly improve the estimation of AWC components. These results show the potential of crop model inversion for estimating the AWC components of two-layered soils and may guide the sampling of representative years and fields to use this technique for mapping soil properties that are relevant for distributed hydrological modelling.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 546, March 2017, Pages 166-178
نویسندگان
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