کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6458410 1421037 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A LiDAR-based flood modelling approach for mapping rice cultivation areas in Apalit, Pampanga
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک جنگلداری
پیش نمایش صفحه اول مقاله
A LiDAR-based flood modelling approach for mapping rice cultivation areas in Apalit, Pampanga
چکیده انگلیسی


- A rice cultivation classification for different flood scenarios is proposed.
- The method uses depth and duration of floods as basis for the classification.
- Using LiDAR data, fine scaled maps depicting the classification were produced.
- The method proposed can be used to aid in agricultural flood management practices.

Majority of rice cultivation areas in the Philippines are susceptible to excessive flooding owing to intense rainfall events. The study introduces the use of fine scale flood inundation modelling to map cultivation areas in Apalit, a rice-producing municipality located in the province of Pampanga in the Philippines. The study used a LiDAR-based digital elevation model (DEM), river discharge and rainfall data to generate flood inundation maps using LISFLOOD-FP. By applying spatial analysis, rice cultivation zone maps were derived and four cultivation zones are proposed. In areas where both depth and duration exceed threshold values set in this study, varieties tolerant to stagnant flooding and submergence are highly recommended in Zone 1, where flood conditions are least favorable for any existing traditional lowland irrigation varieties. The study emphasizes that a decline in yield is likely as increasing flood extents and longer submergence periods may cause cultivation areas for traditional irrigated lowland varieties to decrease over time. This decrease in yield may be prevented by using varieties most suitable to the flooding conditions as prescribed in the rice zone classification. The method introduced in this study could facilitate appropriate rice cultivation in flood-prone areas.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Geography - Volume 80, March 2017, Pages 34-47
نویسندگان
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