Surface runoff estimation and prediction regarding LULC and climate dynamics using coupled LTM, optimized ARIMA and distributed-GIS-based SCS-CN models at tropical region
The integration of precipitation intensity and LULC forecasting have played a significant role in prospect surface runoff, allowing for an extension of the lead time that enables a more timely implementation of the control measures. The current study proposes a full-package model to monitor the chan...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer Nature Singapore
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/64625/1/Surface%20runoff%20estimation%20and%20prediction%20regarding%20LULC%20and%20climate%20dynamics%20using%20coupled%20LTM%2C%20optimized%20ARIMA%20and%20distributed-GIS-based%20SCS-CN%20models%20at%20tropical%20region.pdf http://psasir.upm.edu.my/id/eprint/64625/ https://link.springer.com/chapter/10.1007/978-981-10-8016-6_78 |
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http://psasir.upm.edu.my/id/eprint/64625/1/Surface%20runoff%20estimation%20and%20prediction%20regarding%20LULC%20and%20climate%20dynamics%20using%20coupled%20LTM%2C%20optimized%20ARIMA%20and%20distributed-GIS-based%20SCS-CN%20models%20at%20tropical%20region.pdfhttp://psasir.upm.edu.my/id/eprint/64625/
https://link.springer.com/chapter/10.1007/978-981-10-8016-6_78