GIS Based Universal Soil Erosion Estimation in District Chakwal Punjab, Pakistan

Siddiqui, Saima; Safi, Mirza Wajid Ali; Tariq, Aqil; Rehman, Naveed Ur; Haider, Syed Waseem

doi:10.46660/ijeeg.vol11.iss2.2020.443

Cited by 12 publications

(3 citation statements)

References 14 publications

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“…Similar to what is done in, the SCWV of all selected subsets of the same variable was employed (Figure 5). In order to determine a region's sensitivity to flooding, we added up the FR values for all of the potential causes (Siddiqui et al, 2020a;2020b;Tariq and Shu, 2020). The flood susceptibility index was calculated by the summation of all the flood-inducing factors identified.…”

Section: Flood Vulnerability Mapping and Demarcation Of Risk Areamentioning

confidence: 99%

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Majeed

Anwar

et al. 2023

Front. Environ. Sci.

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The landscape of Pakistan is vulnerable to flood and periodically affected by floods of different magnitudes. The aim of this study was aimed to assess the flash flood susceptibility of district Jhelum, Punjab, Pakistan using geospatial model and Frequency Ratio and Analytical Hierarchy Process. Also, the study considered eight most influential flood-causing parameters are Digital Elevation Model, slop, distance from the river, drainage density, Land use/Land cover, geology, soil resistivity (soil consisting of different rocks and soil formation) and rainfall deviation. The rainfall data was collected from weather stations in the vicinity of the study area. Estimated weight was allotted to each flood-inducing factors with the help of AHP and FR. Through the use of the overlay analysis, each of the factors were brought together, and the value of drainage density was awarded the maximum possible score. According to the study several areas of the region based on the parameters have been classified in flood zones viz, very high risk, high risk, moderate risk, low risk, and very low risk. In the light of the results obtained, 4% of the study area that accounts for 86.25 km2 is at high risk of flood. The areas like Bagham, Sohawa, Domeli, Turkai, Jogi Tillas, Chang Wala, Dandot Khewra were located at the very high elevation. Whereas Potha, Samothi, Chaklana, Bagrian, Tilla Jogian, Nandna, Rawal high-risk zones and have been damaged badly in the flood history of the area. This study is the first of its kind conducted on the Jhelum District and provides guidelines for disaster management authorities and response agencies, infrastructure planners, watershed management, and climatologists.

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Section: Flood Vulnerability Mapping and Demarcation Of Risk Areamentioning

confidence: 99%

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Majeed

Anwar

et al. 2023

Front. Environ. Sci.

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“…Soil Erodibility Factor (K-Factor) is a quantitative description of the susceptibility to erosion of a particular soil. Every soil has its own rate of erosion based on its physical characteristics such as its organic matter content and soil texture classification (Wajid, et al, 2020). The soil map was acquired from the FAO Digital Soil Map of the World (DSMW).…”

Section: Soil Erodibility (K-factor)mentioning

confidence: 99%

Manila Bay Watershed Scorecard: A Gis-Based Quantitative Watershed Health Assessment

Zamora,

Blanco

2023

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Watershed health refers to the maintenance of the normal status of a watershed. With the use of Geographic Information Systems (GIS), a watershed health assessment framework was developed and applied to the Manila Bay Watershed (MBW) based on the sub-indices used by the US EPA and the Minnesota DNR. These three sub-indices were used and modified: geomorphology, connectivity, and hydrology. Geomorphology sub-index accounted for the effects of soil erosion using the Unit Stream Power-based Erosion/Deposition model (USPED). Connectivity sub-index considered the connection between habitats within three environments: terrestrial, aquatic, and riparian zone. Hydrology sub-index accounted for the effects of impervious cover and urbanization on the movement of water using three factors, namely, natural cover, tree cover, and loss of hydrologic storage. Land cover map was the most used dataset in this scorecard, where the maintained natural land covers generally received high scores and built-up areas received the lowest. The overall watershed health score of MBW is 75.713 from the mean of the three sub-indices. Pampanga River Basin, which is the largest river basin within the MBW, got the highest score of 79.462 since it consists of huge portions of maintained natural land cover. Manila River Basin, known to have dense built-up areas, got the lowest average of 60.773. On the provincial level, the province of Nueva Ecija got the highest score, and the National Capital Region (NCR) got the lowest. The developed framework successfully quantified a relative health score which can be used to rank and prioritize subwatersheds, and to measure in totality the improvement or degradation of subwatershed/s over time.

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“…The majority of the soils in the Chakwal district are light-grained sandy loom and sandy clay loom types. The soils in the alluvial terraces and area and dissected ancient loess are silt loam and silt in texture, with pH levels ranging from 7 to 9 (Siddiqui et al 2020). The presence of heavy metals in soil samples is indicative of the presence of industrial activities in the region.…”

Section: Lithospheric Physicochemical Propertiesmentioning

confidence: 99%

Lithospheric Based Eco-decontamination and Fate Elucidation of Fungicide Fluopyram Containing Benzamides Background

Naeem

Ahmad

2022

Preprint

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Fungicide Fluopyram (FLP) containing benzamides class has been scrutinized for the first time for its ecotoxicity and environmental lithosphere stationed fate from various climatic zones. Fate-decisive research inclusive of examining FLP's response in perspective of alteration via adsorption/desorption and disintegration in hydrolytic, photolytic, and bio-degradative procedures. Sorptive interactions determination was done by the batch equilibration approach and indicated its dependency on the chemico-physical properties of the soils. Fragile adsorptive interactions between soils and FLP molecules were established, as indicated by physio-sorption and a fragile exothermic response indicated by negative Gibbs free energy values (-8 to -15.3 kJ mol-1). The soil with the maximal adsorption, Kd(ads) =8.6 µg mL−1, was procured to have a significant organic matter content (1.30 %), resulting in a C-type isotherm that was scrutinized using a linear and Freundlich model. The analytical techniques, inclusive of ultraviolet-visible spectrophotometric and high-performance liquid chromatography procedures have been endeavored to examine FLP fate elucidation. Hydrolysis, photolysis, and biodegradation tests procured minimum halflives of 7.45, 1.29, and 5.77 days while the most remarkable were 10.6, 7.96, and 10.6 days, respectively. The results demonstrated that FLP displayed medium binding and thus low persistence in the tested soils while being extremely susceptible to transformative mechanisms. Current research can be embraced to include further augmentation of these degradative ways and to develop realistic methods for environmental cleanup through natural routes.

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GIS Based Universal Soil Erosion Estimation in District Chakwal Punjab, Pakistan

Cited by 12 publications

References 14 publications

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Prediction of flash flood susceptibility using integrating analytic hierarchy process (AHP) and frequency ratio (FR) algorithms

Manila Bay Watershed Scorecard: A Gis-Based Quantitative Watershed Health Assessment

Lithospheric Based Eco-decontamination and Fate Elucidation of Fungicide Fluopyram Containing Benzamides Background

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