Spatial Climate Forecasting for Climatology Disaster Mitigation

Yasa, I Wayan and Sulistiyono Heri, Heri Sulistiyono and Saadi, Yusron and Hartana, Hartana (2022) Spatial Climate Forecasting for Climatology Disaster Mitigation. Environment and Ecology Research, 10 (6). pp. 786-796. ISSN PL-ISSN 2331-625X, e-ISSN 2331-6268

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Climate is the average weather conditions over a relatively long time. Climate change is a problem for living things, such as the agricultural sector. It affects the availability of community food reserves, public health, and socio-economics. The impact of climate change causes dramatic changes in agricultural patterns and shifts in planting time. Water availability for agricultural needs is complicated to predict, so the failure rate of agricultural production is getting bigger. Failure is due to a mismatch between the availability of water and the applied cropping pattern. This study aims to analyze and predict the spatial distribution of the Schmidt-Ferguson climate classification on Lombok Island from 2018-2035. This study generated rainfall data using the Thomas Fiering method from 18 rain stations on Lombok Island for 24 years (1994-2017). Determine the dry, moist, and wet months based on the Schmidt-Ferguson classification. From the analysis results, the most significant Q value is at the Geres Daya, Sapit, and Sopak rain stations with the classification "Extraordinarily Dry," and the smallest Q value is at the Sesaot, Perian, and Dasan Cermen rain stations with the "Very Wet" category. The Lombok Island has four dominant climate types based on Schmidt-Ferguson for the years 1994-2017, namely slightly wet (C), moderate (D), slightly dry (E), and dry (F). Meanwhile, for the years 2018-2035, the dominant climates are very wet (A), wet (B), slightly wet (C), and moderate (D). The results obtained can be used for planning in determining cropping patterns based on spatial climatic conditions, and they can be used to mitigate floods and droughts, and regulate water allocation in the irrigation sector. Especially in regional planning, it helps plan drainage systems.

Item Type: Article
Keywords (Kata Kunci): Climate, Rain, Prediction, Classification, Disasters
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Fakultas Teknik
Depositing User: Dr I Wayan Yasa
Date Deposited: 23 Apr 2023 07:02
Last Modified: 23 Apr 2023 07:02

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