scholarly journals Development of Early Detection Method for Drought and Flood on Rice Paddy

Agromet ◽  
2018 ◽  
Vol 32 (2) ◽  
pp. 81
Author(s):  
Elza Surmaini ◽  
Erni Susanti ◽  
Yeli Sarvina ◽  
M. Ridho Syahputra
Keyword(s):  
Early Detection ◽  
Standardized Precipitation Index ◽  
Rice Paddy ◽  
Detection Model ◽  
Extreme Climate ◽  
Drought And Flood ◽  
Climate Event ◽  
Droughts And Floods ◽  
Negative Impacts ◽  
North Sumatra

<p>Droughts and floods due to extreme climate events has caused yield loss in various regions of Indonesia, including the Provinces of Aceh and North Sumatra. An early detection model needs to be developed to anticipate the negative impacts of extreme climate event. The model may describe the association of surplus and rainfall deficits with paddy damage due to drought and flood. We used Standardized Precipitation Index (SPI) to explore drought and flood characteristics in period 1989-2016. The study aimed: (i) to analyze the relationship between SPI and paddy damage due to drought and flood events, (ii) to analyze the critical value of the duration and intensity of SPI which causes paddy damage, and (iii) to determine which districts were prone to drought and flood in the Provinces of Aceh and North Sumatra. The results concluded that SPI-3 and -6 months can better describe the frequency of drought and rice flooding. In addition, drought on paddy occured mostly if the SPI was smaller than -1 which took place within 4-5 months, whereas flood occured if the SPI was greater than 1. Short duration drought (2-3 months) were observed in five districts in Aceh (2) and North Sumatra (3). On other hand, more flood districts were identified (9 districts).</p>

scholarly journals The Extreme Climate Event Database (EXCEED): Development of a picture database composed of drought and flood stimuli

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0204093
Author(s):  
Sabrina de Sousa Magalhães ◽  
Diana Kraiser Miranda ◽  
Débora Marques de Miranda ◽  
Leandro Fernandes Malloy-Diniz ◽  
Marco Aurélio Romano-Silva
Keyword(s):  
Extreme Climate Event ◽  
Extreme Climate ◽  
Drought And Flood ◽  
Picture Database ◽  
Climate Event

Assessment of Meteorological and Hydrological Droughts and Floods over mainland Australia based on Drought Indices

2021 ◽  
Author(s):  
Wei Wang ◽  
Yunzhong Shen ◽  
Fengwei Wang ◽  
Weiwei Li
Keyword(s):  
Soil Moisture ◽  
Correlation Analysis ◽  
Hydrological Drought ◽  
Drought Indices ◽  
Time Lags ◽  
Hydrological Conditions ◽  
Drought And Flood ◽  
Cross Correlation Analysis ◽  
Basin Scale ◽  
Droughts And Floods

&lt;p&gt;Climate change has led to increased droughts and floods over mainland Australia, resulting in water scarcity, excessive surplus and socioeconomic losses. Therefore, it is of great significance to comprehensively evaluate droughts and floods from the meteorological and hydrological perspective. Firstly, we determine the Standard Precipitation and Evapotranspiration Index (SPEI) by correlation analysis to represent the meteorological conditions. To characterize the hydrological conditions, we calculate the hydrological drought indices including Standard Runoff Index (SRI), Soil Moisture Deficit Index (SMDI), and Total Storage Deficit Index (TSDI), using the runoff and soil moisture data from the Global Land Data Assimilation System (GLDAS) and the Terrestrial Water Storage Change (TWSC) data from Gravity Recovery And Climate Experiment (GRACE) respectively. Results show that the most severe hydrological drought over mainland Australia during the study period occurred from May 2006 to Jan. 2009 with the drought severity of -58.28 (cm months) and the most severe flood from Jun. 2010 to Jan. 2013 is with the severity of 151.36 (cm months). The comprehensive analysis of both meteorological and hydrological drought indices shows that both meteorological and hydrological drought indices can effectively detect the droughts and floods over mainland Australia. Moreover, the meteorological drought and flood are of higher frequency, while hydrological drought and flood have a relatively longer duration. Based on the cross-correlation analysis, we find that the SPEI can firstly reflect the droughts or floods over mainland Australia, and then the SRI, SMDI and TSDI reflect with the time lags of one, three and six months respectively. Furthermore, we calculate the frequency of drought and flood at the basin scale and find that SPEI and SMDI are equally sensitive to drought and flood, while TSDI is more sensitive to flood than drought. This study reveals the relationship between meteorological and hydrological conditions in mainland Australia in the last two decades and highlights its intensifying extreme climate conditions under the circumstances of the increasing temperature and complex changing precipitation.&lt;/p&gt;

scholarly journals Geographic Information Systems Application to Drought Distribution Identification with Standardized Precipitation Index (SPI) Method in Trenggalek Regency

2021 ◽  
Vol 5 (2) ◽  
pp. 266-278
Author(s):  
Aditya Utama ◽  
Mohammad Pramono Hadi ◽  
Emilya Nurjani
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Analysis Method ◽  
A Value ◽  
Distance Weighted ◽  
Calculation Results ◽  
Negative Impacts ◽  
The Standardized Precipitation Index ◽  
Inverse Distance ◽  
Rain Data

The widespread drought area in Trenggalek Regency in 2019 needs to be analyzed to reduce negative impacts and as a monitoring tool to anticipate future drought events. The Standardized Precipitation Index (SPI) is a drought analysis method by calculating the rainwater deficit at various time scales used to identify the distribution of drought in Trenggalek Regency. This study using rain data on 13 rain stations for the period 1990-2019 and agricultural production data for 2019. The calculation results show that the highest SPI value occurred in March at the highly wet level with a value of 2.11. The lowest SPI value occurred in May at the extremely dry level with a value of -2.31. The results are then mapped using ArcGIS with the Inverse Distance Weighted (IDW) method to identify the spatial distribution of drought.

scholarly journals Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation (Preprint)

2020 ◽  
Author(s):  
Seung-Hyun Jeong ◽  
Tae Rim Lee ◽  
Jung Bae Kang ◽  
Mun-Taek Choi
Keyword(s):  
Big Data ◽  
Health Insurance ◽  
Early Detection ◽  
Developmental Delays ◽  
Brain Lesion ◽  
Detection Model ◽  
Clinical Diagnoses ◽  
Significant Performance ◽  
Clinically Significant ◽  
Age Range

BACKGROUND Early detection of childhood developmental delays is very important for the treatment of disabilities. OBJECTIVE To investigate the possibility of detecting childhood developmental delays leading to disabilities before clinical registration by analyzing big data from a health insurance database. METHODS In this study, the data from children, individuals aged up to 13 years (n=2412), from the Sample Cohort 2.0 DB of the Korea National Health Insurance Service were organized by age range. Using 6 categories (having no disability, having a physical disability, having a brain lesion, having a visual impairment, having a hearing impairment, and having other conditions), features were selected in the order of importance with a tree-based model. We used multiple classification algorithms to find the best model for each age range. The earliest age range with clinically significant performance showed the age at which conditions can be detected early. RESULTS The disability detection model showed that it was possible to detect disabilities with significant accuracy even at the age of 4 years, about a year earlier than the mean diagnostic age of 4.99 years. CONCLUSIONS Using big data analysis, we discovered the possibility of detecting disabilities earlier than clinical diagnoses, which would allow us to take appropriate action to prevent disabilities.

ENSO and the Spatial Extent of Interannual Precipitation Extremes in Tropical Land Areas

2005 ◽  
Vol 18 (23) ◽  
pp. 5095-5109 ◽  
Author(s):  
Bradfield Lyon ◽  
Anthony G. Barnston
Keyword(s):  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Standardized Precipitation Index ◽  
Precipitation Extremes ◽  
Spatial Extent ◽  
Human Populations ◽  
Enso Events ◽  
Dry Conditions ◽  
Negative Impacts

Abstract The extreme phases of El Niño–Southern Oscillation (ENSO) are known to dominate the interannual variability of tropical rainfall. However, the relationship between ENSO and the spatial extent of drought and excessively wet conditions is an important characteristic of the tropical climate that has received relatively less attention from researchers. Here, a standardized precipitation index is computed from monthly rainfall analyses and the temporal variability of the spatial extent of such extremes, for various levels of severity, is examined from a Tropics-wide perspective (land areas only, 30°S–30°N). Maxima in the spatial extent of both precipitation extremes are compared across multiple ENSO events that occurred during the period 1950–2003. The focus on tropical land areas is motivated by the numerous, often negative, impacts of ENSO-related precipitation variability on human populations. Results show that major peaks in the spatial extent of drought and excessively wet conditions are generally associated with extreme phases of ENSO. A remarkably robust linear relationship is documented between the spatial extent of drought in the Tropics and El Niño strength (based on Niño-3.4 sea surface temperature anomalies), with a comparatively weaker relationship for La Niña and excessive wetness. Both conditions are found to increase by about a factor of 2 between strong and weak ENSO events, and in several locations they are shown to be more likely during ENSO events than at all other times, especially for severe categories. Relatively stronger El Niño events during recent decades are associated with increased drought extent in tropical land areas with increasing surface temperatures likely acting to exacerbate these dry conditions.

scholarly journals Shooting blanks: extreme climate event promotes phenological mismatch between sexes in hibernating ground squirrels

2021 ◽  
Author(s):  
Caila E. Kucheravy ◽  
Jane M. Waterman ◽  
Elaine A.C. Anjos ◽  
James F. Hare ◽  
Chris Enright ◽  
...  
Keyword(s):  
Relative Size ◽  
Ground Squirrels ◽  
Motile Sperm ◽  
Extreme Climate ◽  
Accessory Glands ◽  
Phenological Mismatch ◽  
Climate Event ◽  
Climate Events ◽  
The Impact ◽  
Urocitellus Richardsonii

Abstract Hibernating ground squirrels rely on a short active period for breeding and mass accrual, and are thus vulnerable to extreme climate events that affect key periods in their annual cycle. Here, we observed how a heatwave in March 2012 led to a phenological mismatch between sexes in Richardson’s ground squirrels (Urocitellus richardsonii). Females emerged from hibernation and commenced breeding earlier in 2012 relative to average female emergence. Despite external indicators suggesting that males were prepared for breeding, it appeared that not all males were physiologically prepared since 58.6% of males had non-motile sperm when breeding commenced. We found that males with non-motile sperm had smaller accessory glands than males with motile sperm. Body condition, relative testes size, and the relative size of accessory glands were significant predictors of sperm motility. There was no difference in litter size among years, nor a decrease in the number of juveniles emerged in 2012 or female yearlings recruited in 2013. The impact of this heatwave on male ground squirrels emphasizes the importance of assessing the consequences of climate change on breeding success of hibernating species in both sexes, since the different cues for emergence led to a mismatch in timing under this event.

scholarly journals Tools for Improved Drought and Flood Response

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Huan Wu ◽  
Dennis Lettenmaier ◽  
Qiuhong Tang ◽  
Philip Ward
Keyword(s):  
Remote Sensing ◽  
Emergency Response ◽  
Global Scale ◽  
Policy Makers ◽  
Drought And Flood ◽  
Recent Advances ◽  
Droughts And Floods ◽  
Flood Response

A new book presents recent advances in the modeling and remote sensing of droughts and floods of use to emergency response organizations and policy makers on a global scale.

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