scholarly journals PEMETAAN DAERAH POTENSI RAWAN BANJIR DENGAN SISTEM INFORMASI GEOGRAFI METODE WEIGHTED OVERLAY DI KELURAHAN KETEGUHAN

2021 ◽  
Vol 1 (3) ◽  
Author(s):  
Tarkono ◽  
As'ad Humam ◽  
As'ad Humam ◽  
Ranti Vidia Mahyunis ◽  
Shofiyyah Fauziah Sayuti ◽  
...  
Keyword(s):  
Land Cover ◽  
Soil Type ◽  
Flash Flood ◽  
Flood Disaster ◽  
Weighted Overlay ◽  
Potential Map ◽  
Nearest Neighborhood

Abstract   Keteguhan Village is an area that has the highly potential to flood disaster, such as the flash flood incident that occurred on March 30, 2020. Floodprone mapping is needed to map flood prone potentials in SKeteguhan Village with the aim of increasing the alertness and readiness of the Keteguhan Village’s community in dealing that disaster. The used method includes processing the parameters of rainfall, land cover, slope, soil type, land height and land cover, then carried out by a weighted overlay process to form new data in the form of a flood prone potential map. The obtained results are that there are 3 potential areas, namely the lowlands along the river area of Umbul Kunci Street, the river area in the nearest neighborhood of Keteguhan Village and Mushollah Nurul Jannah on Laksamana R.E. Martadinata Street. Based on the area of vulnerability level in Keteguhan Village, the safe category has an area of up to 137,451 Ha with a percentage of 44.6%, the non-prone category has an area of up to 95,5116 Ha with a percentage of 30.01%, the vulnerable category has an area of up to 62.4922 Ha with a percentage of 20.27% and the very vulnerable category has area up to 15.7767 Ha with a percentage of 5.12%.

scholarly journals A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

2021 ◽  
Vol 13 (9) ◽  
pp. 1818
Author(s):  
Lisha Ding ◽  
Lei Ma ◽  
Longguo Li ◽  
Chao Liu ◽  
Naiwen Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flash Flood ◽  
Flash Floods ◽  
Geographic Information ◽  
Flood Disaster ◽  
Future Research ◽  
Time Zone ◽  
Gis Technologies

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.

An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece

2019 ◽  
Vol 33 ◽  
pp. 290-309 ◽  
Author(s):  
M. Diakakis ◽  
E. Andreadakis ◽  
E.I. Nikolopoulos ◽  
N.I. Spyrou ◽  
M.E. Gogou ◽  
...  
Keyword(s):  
Flash Flood ◽  
Integrated Approach ◽  
Flood Disaster

scholarly journals Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China

2018 ◽  
Vol 10 (10) ◽  
pp. 3443 ◽  
Author(s):  
Shoubao Geng ◽  
Peili Shi ◽  
Ning Zong ◽  
Wanrui Zhu
Keyword(s):  
Land Cover ◽  
Soil Quality ◽  
Soil Type ◽  
Quality Evaluation ◽  
Vegetation Index ◽  
Controlling Factors ◽  
Soil Survey ◽  
Boosted Regression Trees ◽  
Soil Quality Index ◽  
Data Set

Soil quality evaluation is an effective pathway to understanding the status of soil function and ecosystem productivity. Numerous studies have been made in managed ecosystems and land cover to quantify its effects on soil quality. However, little is coincident regarding soil quality assessment methods and its compatibility in highly heterogeneous soil. This paper used the soil survey database of Taihang Mountains as a case study to: (i) Examine the feasibility of soil quality evaluation with two different indicator methods: Total data set (TDS) and minimum data set (MDS); and (ii) analyze the controlling factors of regional soil quality. Principal component analysis (PCA) and the entropy method were used to calculate soil quality index (SQI). SQI values assessed from the TDS and MDS methods were both significantly correlated with normalized difference vegetation index (p < 0.001), suggesting that both indices were effective to describe soil quality and reflect vegetation growth status. However, the TDS method represented a slightly more accurate assessment than MDS in terms of variance explanation. Boosted regression trees (BRT) models and path analysis showed that soil type and land cover were the most important controlling factors of soil quality, within which soil type had the greatest direct effect and land cover had the most indirect effect. Compared to MDS, TDS is a more sensitive method for assessing regional soil quality, especially in heterogeneous mountains. Soil type is the fundamental factor to determining soil quality. Vegetation and land cover indirectly modulate soil properties and soil quality.

Modeling on flash flood disaster induced by bed load

2008 ◽  
Vol 14 (4) ◽  
pp. 296-299
Author(s):  
Shuyou Cao ◽  
Xingnian Liu ◽  
Er Huang ◽  
Kejun Yang
Keyword(s):  
Flash Flood ◽  
Flood Disaster ◽  
Bed Load

Flash flood disaster-n�mes, France, 1988

1991 ◽  
Vol 7 (4) ◽  
pp. 365-371 ◽  
Author(s):  
P. Duclos ◽  
O. Vidonne ◽  
P. Beuf ◽  
P. Perray ◽  
A. Stoebner
Keyword(s):  
Flash Flood ◽  
Flood Disaster

scholarly journals Venezuelan debris flow and flash flood disaster of 1999 studied

Eos ◽  
2001 ◽  
Vol 82 (47) ◽  
pp. 572-572 ◽  
Author(s):  
M. C. Larsen ◽  
G. F. Wieczorek ◽  
L. S. Eaton ◽  
B. A. Morgan ◽  
H. Torres-Sierra
Keyword(s):  
Debris Flow ◽  
Flash Flood ◽  
Flood Disaster

scholarly journals Identifying Climatic Variables with Rice Yield Relationship and Land Cover Change Detection at Sylhet Region

2019 ◽  
pp. 1-12 ◽  
Author(s):  
Gazi Tamiz Uddin ◽  
Md. Altaf Hossain ◽  
Fahmida Ishaque
Keyword(s):  
Relative Humidity ◽  
Land Cover ◽  
Land Cover Change ◽  
Rice Yield ◽  
Flash Flood ◽  
Climatic Variables ◽  
Landsat 8 ◽  
Yield Data ◽  
Vegetation Condition ◽  
Boro Rice

The study is conducted to determine the correlation between climatic parameters and rice yield. The present study is also undertaken to analyze the land cover change in Sylhet district between 2013 and 2018 using LANDSAT-8 images. Local climate and rice yield data are collected from BMD (Bangladesh Meteorological Department) and BRRI (Bangladesh Rice Research Institute) and BBS (Bangladesh Bureau of Statistics). ArcGIS 10.5 and SPSS software are used to show the vegetation condition and correlation coefficient between rice yield and climatic variables respectively. It is revealed from the result that rainfall is negatively correlated with Aman and Boro (local and HYV) rice whereas temperature and relative humidity showed a positive correlation with local Aman and Boro rice. On the other hand, relative humidity showed a strong linear relationship with HYV Boro rice. Finally, both temperature and relative humidity have substantial effects on yields in the Boro rice. Furthermore, vegetation condition is observed through NDVI and found the moderate-high vegetation in 2013. After that NDVI value is fluctuating which evidently signifies the rapid vegetation cover change due to a flash flood, flood and other climate changing aspects. Additionally, Forested and high land vegetation’s are endangered rapidly. Some adaptation strategies should be followed to minimize the effects of natural calamities for improving better vegetation condition.

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