Kriging interpolated rainfall data in ArcGIS for a sustainable flood modelling prediction / Fahda Nurhani Ahmad Razan ... [et al.]

• Main Authors: Ahmad Razan, Fahda Nurhani, Mhd Khatif, Nur Fatin Nasuha, Muhamad Bashar, Ir. Nur Azwa
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Q Science (General); QE Geology
• Online Access: https://ir.uitm.edu.my/id/eprint/56683/1/56683.pdf; https://ir.uitm.edu.my/id/eprint/56683/; https://ispike2021.uitm.edu.my/
• Institution: Universiti Teknologi Mara

Rainfall data is the most important input for a hydrological modelling especially for a flood prediction. Conventionally, the most common rainfall measurement using ground based data namely rain gauges networking from a certain catchment. Although rain gauge data measurement are relatively accurate,...