Himan Shahabi | Universiti Teknologi Malaysia - UTM (original) (raw)
Papers by Himan Shahabi
Gegcherches Geographiques Geographical Research, Jul 15, 2012
Research Journal of Applied Sciences, Engineering and Technology, 2015
Reclaimed water from small wastewater treatment facilities in the rural areas of the Beira Interi... more Reclaimed water from small wastewater treatment facilities in the rural areas of the Beira Interior region (Portugal) may constitute an alternative water source for aquifer recharge. A 21-month monitoring period in a constructed wetland treatment system has shown that 21,500 m 3 year −1 of treated wastewater (reclaimed water) could be used for aquifer recharge. A GIS-based multi-criteria analysis was performed, combining ten thematic maps and economic, environmental and technical criteria, in order to produce a suitability map for the location of sites for reclaimed water infiltration. The areas chosen for aquifer recharge with infiltration basins are mainly composed of anthrosol with more than 1 m deep and fine sand texture, which allows an average infiltration velocity of up to 1 m d −1 . These characteristics will provide a final polishing treatment of the reclaimed water after infiltration (soil aquifer treatment (SAT)), suitable for the removal of the residual load (trace organics, nutrients, heavy metals and pathogens). The risk of groundwater contamination is low since the water table in the anthrosol areas ranges from 10 m to 50 m. On the other hand, these depths allow a guaranteed unsaturated area suitable for SAT. An area of 13,944 ha was selected for study, but only 1607 ha are suitable for reclaimed water infiltration. Approximately 1280 m 2 were considered enough to set up 4 infiltration basins to work in flooding and drying cycles.
Polish Journal of Environmental Studies, 2016
Research Journal of Information Technology, 2016
Scientific reports, Jan 22, 2015
This research presents the results of the GIS-based statistical models for generation of landslid... more This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from SAR data, SPOT 5 and WorldView-1 images. The relationships between the detected landslide locations and these ten related factors were identified by using GIS-based statistical models including analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria evaluation (SMCE) models. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs, AIRSAR data, WorldView-1 images, and field surveys. Then, 80% of the landslide inventory was used for training the statistical models a...
Contributions to the groundwater flow within the catchment domain are due to natural subsystems s... more Contributions to the groundwater flow within the catchment domain are due to natural subsystems such as direct infiltration, recharge from surface networks and subsurface water flowing through the slopes. Groundwater quality is affected by such contributions in the case of surface water contamination; the space and time scales of the subsystems connections are investigated in the paper. As a distributed recharge evaluation is needed along the aquifer boundaries for providing inputs to traditional models, a distributed approach to the simulation of subsystems is proposed: GIS capabilities support the management of the large amount of information describing the catchment hydrology. Application of a hydrologically oriented GIS to the problem of recharge evaluation in the case of the Bisagno aquifer (Italy) is presented; procedures have been developed in order to link together different hydrological processes resulting into a subsurface flow model able to simulate the catchment contribution to the groundwater flow in the aquifer.
The Journal of Supercritical Fluids, 2012
The aim of this study was to predict the survival rate of Iranian gastric cancer patients using t... more The aim of this study was to predict the survival rate of Iranian gastric cancer patients using the Cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients. In this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery between 2002 and 2007 at the Taleghani Hospital (a referral center for gastrointestinal cancers), Tehran, Iran, to predict the survival time using Cox proportional hazard and artificial neural network techniques. The estimated one-year, two-year, three-year, four-year and five-year survival rates of the patients were 77.9%, 53.1%, 40.8%, 32.0%, and 17.4%, respectively. The Cox regression analysis revealed that the age at diagnosis, high-risk behaviors, extent of wall penetration, distant metastasis and tumor stage were significantly associated with the survival rate of the patients. The true prediction of neural network was 83.1%, and for Cox regression model, 75.0%. The present study shows that neural network model is a more powerful statistical tool in predicting the survival rate of the gastric cancer patients compared to Cox proportional hazard regression model. Therefore, this model recommended for the predicting the survival rate of these patients.
Journal of Hydrology, 2010
The paper presents a spatial and temporal analysis of the distribution of the soil salinity and i... more The paper presents a spatial and temporal analysis of the distribution of the soil salinity and its pH level of south-east Poland depending on selected environmental factors. The area under examination (Carpathian Foredeep, Carpathians flysch) is distinguished by its specific hydrological and geological conditions (the Vistula and the San valley). The research works were performed in relation to parameters that had been measured in-situ in 1995, 2000, 2005, and 2010. Using specialist GIS software, proper interpolation procedures were performed, which enabled visualization in the form of raster and vector maps for the spatial distribution of the examined soil properties. Moreover, an analysis of remote sensing data was completed. Based on the analysis, it was discovered that the biggest changes in all examined soil parameters took place in 2010 -changes in the soil salinity and its pH level, as well as in the content of potassium (K) and sodium (Na). Those changes occurred mainly in the north and south parts of the examined area. The underlying reason for those changes might have been the flood, which hit the region in June 2010.
International Journal of Remote Sensing, 2012
The northeast part of Turkey is prone to landslides because of the climatic conditions, as well a... more The northeast part of Turkey is prone to landslides because of the climatic conditions, as well as geologic and geomorphologic characteristics of the region. Especially, frequent landslides in the Rize province often result in significant damage to people and property. Therefore, in order to mitigate the damage from landslides and help the planners in selecting suitable locations for implementing development projects, especially in large areas, it is necessary to scientifically assess susceptible areas. In this study, the frequency ratio method and the analytical hierarchy process (AHP) were used to produce susceptibility maps. Especially, AHP gives best results because of allowing better structuring of various components, including both objective and subjective aspects and comparing them by a logical and thorough method, which involves a matrix-based pairwise comparison of the contribution of different factors for landslide. For this purpose, lithology, slope angle, slope aspect, land cover, distance to stream, drainage density, and distance to road were considered as landslide causal factors for the study area. The processing of multi-geodata sets was carried out in a raster GIS environment. Lithology was derived from the geological database and additional field studies; slope angle, slope aspect, distance to stream, distance to road and drainage density were invented from digital elevation models; land cover was produced from remote sensing imagery. In the end of study, the results of the analysis were verified using actual landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.
Gegcherches Geographiques Geographical Research, Jul 15, 2012
Research Journal of Applied Sciences, Engineering and Technology, 2015
Reclaimed water from small wastewater treatment facilities in the rural areas of the Beira Interi... more Reclaimed water from small wastewater treatment facilities in the rural areas of the Beira Interior region (Portugal) may constitute an alternative water source for aquifer recharge. A 21-month monitoring period in a constructed wetland treatment system has shown that 21,500 m 3 year −1 of treated wastewater (reclaimed water) could be used for aquifer recharge. A GIS-based multi-criteria analysis was performed, combining ten thematic maps and economic, environmental and technical criteria, in order to produce a suitability map for the location of sites for reclaimed water infiltration. The areas chosen for aquifer recharge with infiltration basins are mainly composed of anthrosol with more than 1 m deep and fine sand texture, which allows an average infiltration velocity of up to 1 m d −1 . These characteristics will provide a final polishing treatment of the reclaimed water after infiltration (soil aquifer treatment (SAT)), suitable for the removal of the residual load (trace organics, nutrients, heavy metals and pathogens). The risk of groundwater contamination is low since the water table in the anthrosol areas ranges from 10 m to 50 m. On the other hand, these depths allow a guaranteed unsaturated area suitable for SAT. An area of 13,944 ha was selected for study, but only 1607 ha are suitable for reclaimed water infiltration. Approximately 1280 m 2 were considered enough to set up 4 infiltration basins to work in flooding and drying cycles.
Polish Journal of Environmental Studies, 2016
Research Journal of Information Technology, 2016
Scientific reports, Jan 22, 2015
This research presents the results of the GIS-based statistical models for generation of landslid... more This research presents the results of the GIS-based statistical models for generation of landslide susceptibility mapping using geographic information system (GIS) and remote-sensing data for Cameron Highlands area in Malaysia. Ten factors including slope, aspect, soil, lithology, NDVI, land cover, distance to drainage, precipitation, distance to fault, and distance to road were extracted from SAR data, SPOT 5 and WorldView-1 images. The relationships between the detected landslide locations and these ten related factors were identified by using GIS-based statistical models including analytical hierarchy process (AHP), weighted linear combination (WLC) and spatial multi-criteria evaluation (SMCE) models. The landslide inventory map which has a total of 92 landslide locations was created based on numerous resources such as digital aerial photographs, AIRSAR data, WorldView-1 images, and field surveys. Then, 80% of the landslide inventory was used for training the statistical models a...
Contributions to the groundwater flow within the catchment domain are due to natural subsystems s... more Contributions to the groundwater flow within the catchment domain are due to natural subsystems such as direct infiltration, recharge from surface networks and subsurface water flowing through the slopes. Groundwater quality is affected by such contributions in the case of surface water contamination; the space and time scales of the subsystems connections are investigated in the paper. As a distributed recharge evaluation is needed along the aquifer boundaries for providing inputs to traditional models, a distributed approach to the simulation of subsystems is proposed: GIS capabilities support the management of the large amount of information describing the catchment hydrology. Application of a hydrologically oriented GIS to the problem of recharge evaluation in the case of the Bisagno aquifer (Italy) is presented; procedures have been developed in order to link together different hydrological processes resulting into a subsurface flow model able to simulate the catchment contribution to the groundwater flow in the aquifer.
The Journal of Supercritical Fluids, 2012
The aim of this study was to predict the survival rate of Iranian gastric cancer patients using t... more The aim of this study was to predict the survival rate of Iranian gastric cancer patients using the Cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients. In this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery between 2002 and 2007 at the Taleghani Hospital (a referral center for gastrointestinal cancers), Tehran, Iran, to predict the survival time using Cox proportional hazard and artificial neural network techniques. The estimated one-year, two-year, three-year, four-year and five-year survival rates of the patients were 77.9%, 53.1%, 40.8%, 32.0%, and 17.4%, respectively. The Cox regression analysis revealed that the age at diagnosis, high-risk behaviors, extent of wall penetration, distant metastasis and tumor stage were significantly associated with the survival rate of the patients. The true prediction of neural network was 83.1%, and for Cox regression model, 75.0%. The present study shows that neural network model is a more powerful statistical tool in predicting the survival rate of the gastric cancer patients compared to Cox proportional hazard regression model. Therefore, this model recommended for the predicting the survival rate of these patients.
Journal of Hydrology, 2010
The paper presents a spatial and temporal analysis of the distribution of the soil salinity and i... more The paper presents a spatial and temporal analysis of the distribution of the soil salinity and its pH level of south-east Poland depending on selected environmental factors. The area under examination (Carpathian Foredeep, Carpathians flysch) is distinguished by its specific hydrological and geological conditions (the Vistula and the San valley). The research works were performed in relation to parameters that had been measured in-situ in 1995, 2000, 2005, and 2010. Using specialist GIS software, proper interpolation procedures were performed, which enabled visualization in the form of raster and vector maps for the spatial distribution of the examined soil properties. Moreover, an analysis of remote sensing data was completed. Based on the analysis, it was discovered that the biggest changes in all examined soil parameters took place in 2010 -changes in the soil salinity and its pH level, as well as in the content of potassium (K) and sodium (Na). Those changes occurred mainly in the north and south parts of the examined area. The underlying reason for those changes might have been the flood, which hit the region in June 2010.
International Journal of Remote Sensing, 2012
The northeast part of Turkey is prone to landslides because of the climatic conditions, as well a... more The northeast part of Turkey is prone to landslides because of the climatic conditions, as well as geologic and geomorphologic characteristics of the region. Especially, frequent landslides in the Rize province often result in significant damage to people and property. Therefore, in order to mitigate the damage from landslides and help the planners in selecting suitable locations for implementing development projects, especially in large areas, it is necessary to scientifically assess susceptible areas. In this study, the frequency ratio method and the analytical hierarchy process (AHP) were used to produce susceptibility maps. Especially, AHP gives best results because of allowing better structuring of various components, including both objective and subjective aspects and comparing them by a logical and thorough method, which involves a matrix-based pairwise comparison of the contribution of different factors for landslide. For this purpose, lithology, slope angle, slope aspect, land cover, distance to stream, drainage density, and distance to road were considered as landslide causal factors for the study area. The processing of multi-geodata sets was carried out in a raster GIS environment. Lithology was derived from the geological database and additional field studies; slope angle, slope aspect, distance to stream, distance to road and drainage density were invented from digital elevation models; land cover was produced from remote sensing imagery. In the end of study, the results of the analysis were verified using actual landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.