| Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
|
|
|---|---|---|
| Article Number | 11007 | |
| Number of page(s) | 6 | |
| Section | Environmental Issues | |
| DOI | https://doi.org/10.1051/e3sconf/202346411007 | |
| Published online | 18 December 2023 | |
Characteristics and tendencies of the Gumanti Valley rainfall pattern towards erosivity as a mitigation effort in facing the threat of climate hazards
1 Master of Soil Science and Land Resources, Universitas Andalas, Indonesia
2 Postgraduate Lecturer in Soil Science and Land Resources, Universitas Andalas, Indonesia
* Corresponding author: fadila.ika3@gmail.com
Rainfall is one of the most important climatic parameters in the agricultural sector. Each raindrop contains kinetic energy that can destroy soil particles and carry them away to lower places. Nutrients located in the top layer of soil are susceptible to erosion, which decreases soil productivity. Rainfall patterns are formed due to global, regional, and local factors that influence them. Changes in rainfall patterns will affect erosivity. The rainfall data used in this study came from the cooperation rain post of the West Sumatra Climatology Station located in Lembah Gumanti. Linear regression was used to assess the rainfall trend and Bols erosivity to calculate the effect of rainfall on erosion. The trend of rainfall in the Lembah Gumanti from 2014–2022 showed a value of +0.195, and the largest erosivity value occurred in 2020 as a result of the La Nina climate phenomenon. This research shows that an increase in rainfall will be followed by an increase in erosivity. High erosivity is feared to threaten the availability of soil nutrients, so mitigation efforts need to be made in anticipation of the threat of climate hazards for agricultural areas located in the highlands, such as the Lembah Gumanti region.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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