机构:
Fed Univ Rio De Janeiro UFRJ, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ, BrazilUniv Southampton, Sch Ocean & Earth Sci, Southampton SO17 1BJ, England
De Carvalho, Lino Augusto Sander
[2
]
Libonati, Renata
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h-index: 0
机构:
Fed Univ Rio De Janeiro UFRJ, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ, BrazilUniv Southampton, Sch Ocean & Earth Sci, Southampton SO17 1BJ, England
Libonati, Renata
[2
]
Nemirovsky, Andressa Karen da Silva
论文数: 0引用数: 0
h-index: 0
机构:
Fed Univ Rio De Janeiro UFRJ, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ, BrazilUniv Southampton, Sch Ocean & Earth Sci, Southampton SO17 1BJ, England
water resources;
water supply;
wildfire;
remote sensing;
water quality;
BURNED AREA;
WILDFIRE;
SOIL;
EROSION;
PHOSPHORUS;
ALGORITHM;
CHEMISTRY;
ABUNDANCE;
PATTERNS;
FORESTS;
D O I:
10.3390/fire6050214
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
Fire events are increasing in frequency, duration, and severity worldwide. The combination of ash and uncovered land might increase the transportation of pollutants into the streams, potentially affecting the water supply systems. The intensifying fires in Brazil's Cerrado biome, responsible for 70% of the country's water supply, give rise to profound ecological, climatic, and socio-economic concerns that require urgent and effective mitigation strategies. However, little attention has been paid to the consequences of fire events on water resources in the region. In this study, the Fire Impact on Water Resources Index (FIWRI) is proposed and applied in six different water supply watersheds to analyse fire behaviour from 2003 to 2020 and its potential impact on inland water bodies. This is the first remote-sensing-based index for fire impact on water resources developed for the Brazilian territory, to support water management on a watershed scale and uses variables such as terrain slope, river proximity, and vegetation to classify fire events as having a low to high potential to contaminate water bodies. We observed that all six water supply watersheds suffered frequent fire events, with different FIWRI proportions, which ranged from High to Low FIWRI. The proposed index could be used in real-time fire monitoring alert systems in order to support water supply management.
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