scholarly journals Spatial modeling of ground subsidence susceptibility along Al-Shamal train pathway in Saudi Arabia

2021 ◽  
Vol 13 (1) ◽  
pp. 1158-1173
Author(s):  
Haya M. Alogayell ◽  
Seham S. Al-Alola ◽  
Ibtesam I. Alkadi ◽  
Soha A. Mohamed ◽  
Ismail Y. Ismail ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Area Under The Curve ◽  
Ground Subsidence ◽  
Slope Aspect ◽  
Distribution Analysis ◽  
Earthquake Epicenter ◽  
Data Types ◽  
Geological Features ◽  
Susceptibility Model ◽  
Very High

Abstract Al-Shamal train pathway, which is extended between Saudi Arabia and Jordan, is prone to geo-hazards due to the geological features, proximity to faults, earthquake epicenter, and the human activities along the pathway. The objectives of this study are to shed light on the ground subsidence susceptibility along Al-Shamal train pathway in Qarrayat city in Saudi Arabia and develop a ground subsidence susceptibility model to determine the prone areas to the impacts of ground subsidence to mitigate and avoid the loss of life and property. This study integrated the various data types to map the subsidence susceptibility along Al-Shamal train pathway. Nine ground subsidence causative parameters were selected as subsidence controlling factors in the study area including lithology, land cover/land use, elevation, slope, aspect, annual average rainfall, distance to faults, distance to earthquake epicenter, and distance to streams. The analytical hierarchy process is applied to obtain accurate weight to each criterion through the distribution of online Google form questionnaire to experts in different expertise and get their judgments on the weights of ground subsidence causative parameters in the study area. A subsidence susceptibility index was derived by classifying susceptible maps into five classes, namely, very low, low, moderate, high, and very high using the statistical distribution analysis. The results revealed that the study area is subjected to moderate susceptibility with about 32.56. A total of 29.8 and 11.52% of the study area had very low and low susceptibilities, respectively, and 8.44 and 17.68% had very high and high susceptibilities, respectively. The results were validated using the receiver operating characteristic using previous ground subsidence locations. The area under the curve showed 0.971, which is equivalent to 97.1%. Consequently, the findings of the study are thought to be beneficial to managers and decision makers for future planning, mitigating, and preventing subsidence in the study area.

GIS and RS intelligence in delineating the groundwater potential zones in Arid Regions: a case study of southern Aseer, southwestern Saudi Arabia

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mohd Yawar Ali Khan ◽  
Mohamed ElKashouty ◽  
Ali Mohammad Subyani ◽  
Fuqiang Tian ◽  
Waleed Gusti
Keyword(s):  
Saudi Arabia ◽  
Primary Source ◽  
Groundwater Potential ◽  
Integrated Analysis ◽  
Groundwater Potential Zones ◽  
Geospatial Tools ◽  
Porosity And Permeability ◽  
Proterozoic Basement ◽  
Dug Well ◽  
Very High

AbstractProterozoic basement aquifers are the primary source of water supply for the local populations in the Aseer (also spelled “Asir” or “Assir”) province located in the southwest of Saudi Arabia (SA) since high evaporation rates and low rainfall are experienced in the region. Groundwater assets are receiving a lot of attention as a result of the growing need for water due to increased urbanization, population, and agricultural expansion. People have been pushed to seek groundwater from less reliable sources, such as fracture bedrocks. This study is centered on identifying the essential contributing parameters utilizing an integrated multi-criteria analysis and geospatial tools to map groundwater potential zones (GWPZs). The outcome of the GWPZs map was divided into five categories, ranging from very high to negligible potential. The results concluded that 57% of the investigated area (southwestern parts) showed moderate to very high potentials, attributed to Wadi deposits, low topography, good water quality, and presence of porosity and permeability. In contrast, the remaining 43% (northeastern and southeastern parts) showed negligible aquifer potential zones. The computed GWPZs were validated using dug well sites in moderate to very high aquifer potentials. Total dissolved solids (TDS) and nitrate (NO32−) concentrations were highest and lowest in aquifers, mainly in negligible and moderate to very high potential zones, respectively. The results were promising and highlighted that such integrated analysis is decisive and can be implemented in any region facing similar groundwater expectations and management.

scholarly journals Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms

2018 ◽  
Vol 8 (8) ◽  
pp. 1369 ◽  
Author(s):  
Alireza Arabameri ◽  
Biswajeet Pradhan ◽  
Hamid Reza Pourghasemi ◽  
Khalil Rezaei ◽  
Norman Kerle
Keyword(s):  
Data Mining ◽  
Spatial Relationship ◽  
Area Under The Curve ◽  
Regression Tree ◽  
Drainage Density ◽  
Gully Erosion ◽  
Slope Aspect ◽  
Topographic Wetness Index ◽  
Boosted Regression Tree ◽  
Area Index

Gully erosion triggers land degradation and restricts the use of land. This study assesses the spatial relationship between gully erosion (GE) and geo-environmental variables (GEVs) using Weights-of-Evidence (WoE) Bayes theory, and then applies three data mining methods—Random Forest (RF), boosted regression tree (BRT), and multivariate adaptive regression spline (MARS)—for gully erosion susceptibility mapping (GESM) in the Shahroud watershed, Iran. Gully locations were identified by extensive field surveys, and a total of 172 GE locations were mapped. Twelve gully-related GEVs: Elevation, slope degree, slope aspect, plan curvature, convergence index, topographic wetness index (TWI), lithology, land use/land cover (LU/LC), distance from rivers, distance from roads, drainage density, and NDVI were selected to model GE. The results of variables importance by RF and BRT models indicated that distance from road, elevation, and lithology had the highest effect on GE occurrence. The area under the curve (AUC) and seed cell area index (SCAI) methods were used to validate the three GE maps. The results showed that AUC for the three models varies from 0.911 to 0.927, whereas the RF model had a prediction accuracy of 0.927 as per SCAI values, when compared to the other models. The findings will be of help for planning and developing the studied region.

scholarly journals Family’s Role in Achieving Language Affiliation among Children: A Comparative Study Applied to Some Families

2021 ◽  
Vol 12 (3) ◽  
pp. 111-128
Author(s):  
Aljohara Fahad Al Saud
Keyword(s):  
Social Media ◽  
Saudi Arabia ◽  
Comparative Study ◽  
Analytical Approach ◽  
Kingdom Of Saudi Arabia ◽  
Language Identity ◽  
Study Population ◽  
High Degree ◽  
Very High

Identifying language affiliation among children for family immigrants is crucial for one’s language identity. This study aimed to determine the role played by Arab families in the Kingdom of Saudi Arabia, Austria, and Britain to attain language affiliation among their children. It also aims to identify the challenges facing families living in these countries in achieving language affiliation among their children. The study population consisted of all the families that live in the Kingdom of Saudi Arabia, in addition to all the Arab families that live in Austria and Britain and the study sample included (120) parents. The researcher adopted the descriptive-analytical approach and used the questionnaire as the study tool. The study reached several results; first, the role played by families in the Kingdom of Saudi Arabia, Austria, and United Kingdom to attain language affiliation among their children got a high degree of response. Second, the challenges facing activating the family’s role in attaining language affiliation of their children in the Kingdom of Saudi Arabia and Austria have got a high degree of response, while in Britain, they obtained a very high degree of response. The study recommended involving all family members in accessing different and creative ways of practicing their native language and activating the role of social media in developing the language affiliation of children.

scholarly journals The Degree of Awareness of Certified Trainers in the Kingdom of Saudi Arabia about the Importance of Certified Trainer's License the degree to which they benefit from it: درجة وعي المدربين المعتمدين في المملكة العربية السعودية بأهمية رخصة المدرب المعتمد ودرجة استفادتهم منها

2021 ◽  
Vol 5 (5) ◽  
Author(s):  
Kholoud Mohammed Naïf Al-Suheimy Al-Qahtani, Remsh Nasser Sa
Keyword(s):  
Saudi Arabia ◽  
Training Experience ◽  
Kingdom Of Saudi Arabia ◽  
Type Region ◽  
Study Population ◽  
Descriptive Approach ◽  
Very High

The study aimed to identify the degree of awareness of trainers about the importance of license and the degree to which they benefit from it. It used the descriptive approach, and a questionnaire was built, it was distributed to all the study population (trainers who have a certified trainer license in the Kingdom), the number of sample was (330). The results showed that the degree of awareness of the trainers is very high, but the degree of the benefit of it is high. There were no differences in the degree of awareness of the trainers by (type, region, qualification, training experience), there were no differences about the degree to which they benefit from it by (region, training experience), but there were differences by (type, qualification).

scholarly journals Geospatial Technology for Landslide Susceptibility Mapping along the Vathalmalai Ghat road section, South India

2021 ◽  
Vol 30 (4) ◽  
pp. 683-691
Author(s):  
G. Kavitha ◽  
S. Anbazhagan ◽  
S. Mani
Keyword(s):  
Landslide Susceptibility ◽  
Drainage Density ◽  
Landslide Susceptibility Mapping ◽  
Slope Aspect ◽  
Susceptibility Map ◽  
Landslide Susceptibility Zonation ◽  
Road Section ◽  
Gps Measurement ◽  
Causative Factors ◽  
Very High

Landslides are among the most prevalent and harmful hazards. Assessment of landslide susceptibility zonation is an important task in reducing the losses of lifeand properties. The present study aims to demarcate the landslide prone areas along the Vathalmalai Ghat road section (VGR) using remote sensing and GIS techniques. In the first step, the landslide causative factors such as geology, geomorphology, slope, slope aspect, land use / land cover, drainage density, lineament density, road buffer and relative relief were assessed. All the factors were assigned to rank and weight based on the slope stability of the landslide susceptibility zones. Then the thematic maps were integrated using ArcGIS tool and landslide susceptibility zonation was obtained and classified into five categories ; very low, low, moderate, high and very high. The landslide susceptibility map is validated with R-index and landslide inventory data collected from the field using GPS measurement. The distribution of susceptibility zones is ; 16.5% located in very low, 28.70% in low, 24.70% in moderate, 19.90% in high and 10.20% in very high zones. The R-index indicated that about 64% landslide occurences correlated with high to very high landslide susceptiblity zones. The model validation indicated that the method adopted in this study is suitable for landslide disaster mapping and planning.

Geoheritage values of one of the largest maar craters in the Arabian Peninsula: the Al Wahbah Crater and other volcanoes (Harrat Kishb, Saudi Arabia)

2013 ◽  
Vol 5 (2) ◽  
Author(s):  
Mohammed Moufti ◽  
Károly Németh ◽  
Nabil El-Masry ◽  
Atef Qaddah
Keyword(s):  
Saudi Arabia ◽  
Lava Flow ◽  
Arabian Peninsula ◽  
Volcanic Hazards ◽  
Scoria Cone ◽  
Volcanic Field ◽  
Flow Surface ◽  
Geological Features ◽  
A Site ◽  
Tephra Ring

AbstractAl Wahbah Crater is one of the largest and deepest Quaternary maar craters in the Arabian Peninsula. It is NW-SE-elongated, ∼2.3 km wide, ∼250 m deep and surrounded by an irregular near-perpendicular crater wall cut deeply into the Proterozoic diorite basement. Very few scientific studies have been conducted on this unique site, especially in respect to understanding the associated volcanic eruption processes. Al Wahbah and adjacent large explosion craters are currently a research subject in an international project, Volcanic Risk in Saudi Arabia (VORiSA). The focus of VORiSA is to characterise the volcanic hazards and eruption mechanisms of the vast volcanic fields in Western Saudi Arabia, while also defining the unique volcanic features of this region for use in future geoconservation, geoeducation and geotourism projects. Al Wahbah is inferred to be a maar crater that formed due to an explosive interaction of magma and water. The crater is surrounded by a tephra ring that consists predominantly of base surge deposits accumulated over a pre-maar scoria cone and underlying multiple lava flow units. The tephra ring acted as an obstacle against younger lava flows that were diverted along the margin of the tephra ring creating unique lava flow surface textures that recorded inflation and deflation processes along the margin of the post-maar lava flow. Al Wahbah is a unique geological feature that is not only a dramatic landform but also a site that can promote our understanding of complex phreatomagmatic monogenetic volcanism. The complex geological features perfectly preserved at Al Wahbah makes this site as an excellent geotope and a potential centre of geoeducation programs that could lead to the establishment of a geopark in the broader area at the Kishb Volcanic Field.

scholarly journals Landslide susceptibility mapping using Weight of Evidence Method in Haku, Rasuwa District, Nepal

2019 ◽  
Vol 58 ◽  
pp. 163-171 ◽  
Author(s):  
Arishma Gadtaula ◽  
Subodh Dhakal
Keyword(s):  
Landslide Susceptibility ◽  
Google Earth ◽  
Weight Of Evidence ◽  
Slope Aspect ◽  
Susceptibility Map ◽  
Mountainous Area ◽  
High Susceptibility ◽  
Seismic Landslides ◽  
2015 Gorkha Earthquake ◽  
Very High

The 2015 Gorkha Earthquake resulted in many other secondary hazards affecting the livelihoods of local people residing in mountainous area. Plenty of earthquake induced landslides and mass movement activities were observed after earthquake. Haku region of Rasuwa was also one of the severely affected areas by co-seismic landslides triggered by the disastrous earthquake. Statistics shows that around 400 families were relocated from Haku Post-earthquake (MoFA, 2015). A total of 101 co-seismic landslides were focused during the study and were verified during the fieldwork in Haku village. The conditioning factors used in this study were slope, aspect, elevation, curvature (plan and profile), landuse, geology and PGA. The conditioning factor maps were prepared in GIS working environment and further analysis was conducted with the assistance of Google earth. This study used Weight of Evidence (WoE), a bivariate statistical model and its performance was assessed. The susceptibility map was further characterized into five different classes namely very low, low, high, medium and very high susceptibility zones. The statistical analysis obtained from the results of the susceptibility map prepared by using WoE model gave the results that maximum area percentage of landslide distribution was observed in medium and high susceptibility classes i.e. 38% and 33% followed by very high (13%), low (10%) and very low classes (5.8%) About 25% of the total landslides are separated to validate the prepared model used in the landslide susceptibility zonation. The overlay method predicts the reliability of the model.

The Use of LiDAR DTM in Landslide Susceptibility/Hazard Analysis

2020 ◽  
Author(s):  
Chyi-Tyi Lee ◽  
Tsung-Chi Ji
Keyword(s):  
Success Rate ◽  
Landslide Susceptibility ◽  
Hazard Analysis ◽  
Total Curvature ◽  
Measurement Scale ◽  
Slope Aspect ◽  
Related Factor ◽  
Optimal Measurement ◽  
Susceptibility Model ◽  
Landslide Distribution

<p>High-resolution DTM does not always help build a good landslide prediction model. When we are using LiDAR DTM in producing a topographic-related factor for grid-based landslide susceptibility/hazard analysis, the selection of an optimal measurement scale becomes important. Because the resolution of LiDAR DTM may be up to 1 meter, and the average landslide size may be more than 1 thousand square meters, to use a conventional 3x3 kernel for calculation of a factor value is not valid. Actual tests tell us, to use a 15x15 and larger kernel for calculation may yield a more effective factor for interpreting the landslide distribution in a study area.</p><p>A test area was selected at the catchment of the Zengwen Reservoir in southwestern Taiwan. The original 1mx1m LiDAR DTM was firstly reduced to a 2mx2m DTM for analysis. Factors of slope gradient, slope aspect, topographic roughness, slope roughness, plan curvature, profile curvature, tangential curvature and total curvature are analyzed by using a series of kernels in different sizes up to 25x25 for comparison. And success rate curve method was used to evaluate the effectiveness of each factor in interpreting landslide distribution. Highest AUC is selected as the most effective one and the kernel size which yield that is the optimal measurement scale of the factor.</p><p>A 3x3 kernel has a measurement scale of 2h and is 4 meters (h is grid size of 2 meters), a 25x25 kernel has a measurement scale of 24h and is 48 meters. Factors calculated from an optimal measurement scale will be selected for construction of a landslide susceptibility model. The success rate and prediction rate of this model would be significantly increasing as compared with the model built from conventional 3x3 kernel calculated factors. Finally this optimal susceptibility model was used to construct a landslide hazard model for prediction of landslide distribution under different triggering events.</p>

Enhancing Pipeline Project Management With Improved Rock Excavation Forecasting

2012 ◽  
Author(s):  
Jeffrey R. Keaton ◽  
Theodore H. Parks ◽  
Luther H. Boudra ◽  
Lee D. Walker
Keyword(s):  
Google Earth ◽  
Economic Feasibility ◽  
Soil Survey ◽  
Digital Data ◽  
Slope Aspect ◽  
Model Parameters ◽  
Rock Excavation ◽  
Data Types ◽  
Weathered Rock ◽  
Ground Slope

Accurate rock-excavation forecasting is one of the geotechnical risk factors that challenge successful management of cross-country pipeline projects. Rock excavation requirements commonly are estimated by pipeline construction personnel with local experience. Construction bid and contract documents typically call for excavation of “ditch” rock to be paid per lineal foot, whereas “area” or right-of-way grading (ROWG) rock is paid per cubic yard. Rock excavation forecasting tends to be used for economic feasibility more than for selecting contractors or preparing contracts. Recent pipeline projects in Pennsylvania and New Jersey used geotechnical estimates of rock excavation to update detailed cost and schedule projections after construction was underway because ROWG rock excavation exceeded the expected volume. Geotechnical estimates of rock excavation were based on a rapid desktop study followed by field observations and measurements. The desktop study used available digital data manipulated with geographic information management software (GIS). Topographic data (digital elevation models) at 10-m resolution and the pipeline centerline in 10-m-long segments were used to plot alignment elevation profile and ground slope, as well as to calculate slope aspect and apparent ground slope across the ROW perpendicular to centerline. The centerline was plotted in Google Earth Pro for a virtual geologic field reconnaissance to identify areas where rock was likely or unlikely to be encountered within ditch depth. Digital geology was used to assess bedrock type along the alignment and digital soil survey data were classified to identify soil units with shallow cemented zones or bedrock. These complementary data types were combined into an overall rock excavation index factor (0 = uncemented soil; 1 = cemented soil; 2 = weathered rock near ditch bottom; or 3 = nearby rock outcrop, weathered rock near top of ditch, or unweathered rock at any ditch depth). GIS polygons of “rock factors” were converted to a grid so that values could be extracted at points along the pipeline centerline. Ground-condition variability was considered subjectively for each rock factor by assigning length-based and area-based percentages where rock was considered likely to be encountered for both “average” and “maximum” rock conditions. Rock factor areas were used to select locations for 115 or 230-ft-(35 or 70-m-) long seismic refraction surveys. Seismic velocities > 4,000 to 4,500 ft/s (1,220 to 1,370 m/s) were considered blast rock in trench excavations. Locations where the 4,000-ft/s contour was shallower than ditch depth were used to refine subjective ground variability estimates. Additional construction records of actual blasting details are needed to further improve the rock excavation model. Unique aspects of geology may require model parameters to be modified for other settings.

scholarly journals Personaliti Dan Kepimpinan Ulul Amri Guru Pendidikan Islam

2019 ◽  
Vol 3 ◽  
Author(s):  
Mardzelah binti Makhsin ◽  
Noriana Binti Abdullah
Keyword(s):  
Big Five ◽  
Pearson Correlation ◽  
Descriptive Analysis ◽  
Islamic Education ◽  
Distribution Analysis ◽  
Education Teacher ◽  
Teacher Personality ◽  
Pearson Correlation Analysis ◽  
The Relationship ◽  
Very High

This article aims to review and identify the characteristics of Ulul Amri's personality and    leadership among Islamic Education teachers. A total of 109 students from 4 secondary schools in Kota Bharu district were randomly selected as respondents for the study. This study was conducted through a quantitative approach. The data were collected through a questionnaire translated from The Big Five Inventory (BFI) by John (1990) and Ulul Amri's Leadership following the Qur'an. The degree of reliability of the BFI instrument ranges from 0.62 to 0.77 while the Ulul Amri Leadership instrument is between 0.61 and 0.71. Descriptive analysis of frequencies and mins used for distribution analysis. Inference statistics that pearson correlation analysis is used to analyze the relationship between teacher personality and Ulul Amri Leadership. The significant level used is 0.05. The findings show that the most dominant personality dimensions of teachers are Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism. The results of the correlation test showed that there was no significant relationship between the personality of the Islamic Education Teacher and the leadership of the Ulul Amri teacher except the personality of the agreeableness. The findings show that Islamic Education teachers have positive personalities such as Openness, Agreeableness, Extraversion and Conscientiousness. Meanwhile, Neuroticism with a negative personality teacher of Islamic Education has recorded the lowest mean. This finding shows that Islamic Education teachers in Kota Bharu have a good and positive perception among students. This is also a reflection of the expectation and dependence of the students on the Islamic Education teacher is very high. As Al-Qabisi's theory emphasizes the four qualities of a quality teacher in educating morals, ie by example, qudwah, unity, demonstration and understanding. Teachers through a qudwah approach or exemplary example can become themselves as followers or model roles to students by means of interaction inside and outside the classroom.

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