Mapping of potential flood hazards is an important element in ensuring proper planning of development and implementing flood disaster mitigation efforts for flooded areas. Therefore, this study was conducted to assess the regional-scale flood hazard areas in Gorontalo District using an AHP-GIS integration technique with the focus on factors such as annual rainfall, elevation, slope, soil type, distance to the water bodies, and land-use. The flood hazard was divided into five classes, ranging from very low to very high, and 13.61% of the total area in Gorontalo Regency is classified as either high or very high. Moreover, the distribution of the hazard was verified and 65 events were recorded to have a level of 90.7% and this indicates the model is reliable to assess flood hazard. The results showed GIS-AHP integration is a promising method to accurately predict flood-hazard areas, especially in those with limited data.
Nutritional problem have been found in the elderly which can be inform of lack of nutrient intake. The research aimed to find out thefactors related with the nutrient status of the elderly, the study wasthe quantitative research which was also naturally an analyticalresearch with the cross sectional study approach. The sample of theresearch was as many as 121 respondents which were determined byusing the purposive sampling technique. The finding of the researchfrom 121 respondents was showing that there was 9 elderly with theundernutrition status (7,4%) while there were 69 (57,0%) of them are innormal nutriention status. In addition, there were 43 of them (35,5%)was overnutrition. Based on the analysis bivariate by using thefisher’s exact test was showing that there was no relationship betweenthe physical activity with the nutrientional status in the elderly withthe value ρ = value 0,056 > ɑ 0,05, there was also no relationshipbetween income with the nutrientional status on elderly with the valueof ρ = value 0,001 > ɑ 0,05. However, there was a relationshipbetween the education with the nutrientional status on elderly with thevalue of ρ = value 0,003 > ɑ 0,05.
Several regions across the world are presently experiencing a continuous increase in water scarcity due to the rise in water consumption resulting from population development, agricultural and industrial expansion, climate change, and pollution. Droughts are increasing in recurrence, severity, duration, and spatial extent as a result of climate change. Drought will be one of the most serious threats posed by climate change, often in conjunction with other effects such as rising temperatures and shifting ecosystems. Therefore, this study analyzes the spatial distribution of the Drought Hazard Index (DHI) by integrating AHP-GIS-Remote Sensing in Gorontalo Regency. AHP was used to determine the significance of each map as an input parameter for the DHI, while GIS-Remote Sensing was utilized to supply and analyze all input maps and the study outcome. The DHI assessment consists of four criteria, namely with Normalized Difference Vegetation Index accounting for the highest proportion at 42.9%, followed by Land Surface Temperature (33.6%), Normalized Difference Moisture Index (16.8%), and Topographic Wetness Index (6.7%), with the consistency of the underlying expert opinion measured by the consistency ratio of 0.048. The results indicated that the general hazard of drought in the Gorontalo Regency area was low (43.53%), with 17.87% of the whole area experiencing high hazard. The high class of drought was discovered to be centered in the central region of Gorontalo Regency, which was mostly used for agricultural and economic purposes, thereby enabling policymakers to have evidence to develop management policies suitable for local conditions. Therefore, despite the limits of climatology data, this study established the value of satellite-derived data needed to support policymakers in guiding operational actions to drought hazards reduction.
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