Evaluation Groundwater Quality by Using Gis and Water Quality Index Techniques for Wells in Bardarash Area, Northern Iraq

Fatah, Kaiwan K.; Hamed, Masoud; Saeed, Mariwan Hamah; Dara, Rebwar

doi:10.46717/igj.53.2c.7rs-2020-09.07

Cited by 11 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…IDW (with powers ranging from 1 to 5), simple and ordinary kriging, and spline interpolation techniques, and the recorded annual rainfall values from rainfall stations (observed data) (Al-Husban, 2017;Tabarestani and Afzalimehr, 2021). The interpolation method was used to predict unknown rainfall values based on observed rainfall values from five rainfall stations (apart from the rainfall stations surrounding the study area) (Al-Husban, 2017;Fatah et al, 2020a). The accuracy of the predictive models was assessed based on the data from the rainfall stations within the study area.…”

Section: Auc Values the Level Of Validation Of The Findings Auc Valuesmentioning

confidence: 99%

Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

Fatah

Mustafa

Hassan

2022

IGJ

View full text Add to dashboard Cite

In recent decades, floods have been the most common, complex, and destructive natural calamities worldwide. Hence, for inclusive flood risk assessment, creating flood susceptibility mapping to demarcate flood-vulnerable zones is fundamental for decision makers. To assess flood-prone locations in the Akre, Iraqi Kurdistan Region, fundamental for susceptibility mapping was undertaken using geographic information systems, remote sensing, and an analytic hierarchy process model. To assess flood susceptibility, the geographic information systems framework used 15 ideal causative factors for flooding: altitude, slope, distance to streams, flow accumulation, drainage density, rainfall, soil type, lithology, curvature, topographic wetness index (TWI), topographic roughness index stream power index, stream transport index, land use/land cover, and normalized difference vegetation index. The factors contributing to flooding were optimally weighted with respect to the proposed model. The final flood susceptibility map was reclassified into five different classes of susceptibility to flooding: very low (16.64% of the study area); low (19.53%); moderate (38.92%); high (17.83%); and very high (7.08%). The area under curve values for the predicted rate and success rate of the AHP model were 0.956 and 0.971, respectively. Therefore, the results were accurate and reliable. The AHP model is a powerful method for fundamental for susceptibility mapping to mitigate the serious impacts of flooding and assist scholars, local governments and policymakers in future master planning.

show abstract

Section: Auc Values the Level Of Validation Of The Findings Auc Valuesmentioning

confidence: 99%

Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

Fatah

Mustafa

Hassan

2022

IGJ

View full text Add to dashboard Cite

show abstract

“…Sejauh ini, air tanah masih sangat banyak dijumpai penggunaannya [5] sebagai suplay kebutuhan harian manusia [6]. Media yang digunakan dapat berupa sumur tanah [7] maupun sumur bor [8]. Masyarakat memanfaatkan air tanah karena dirasa lebih efektif dalam penggunaan seperti mencuci [9], memasak [10], mandi [11] serta untuk dikonsumsi [12].…”

Section: Pendahuluanunclassified

Analisis Performa Karbon Aktif Kulit Bawang Merah (Allium Cepa Skin) Terhadap Perubahan Karakteristik Limbah Air Accu

Kuncoro

Qiram

Rubiono

2022

JRM

View full text Add to dashboard Cite

Onion peel is one of the solid waste produced either from the onion processing industry or waste from household waste. Onion skin contains cellulose compounds that are quite high, which is 41-50% as well as aromatic compounds. It is underlying that onion skin can be used as a raw material in the manufacture of activated carbon. One of the uses of activated carbon is as an adsorbent in the conditioning of pH and TDS levels in battery water waste. The manufacture of activated carbon is carried out with 3 main stages, namely carbonization with a temperature of 400oC for 1 hour, sorting particle sizes of 10-16 mesh and 60-200 mesh, and variations of NaOH activators of 10%, 15%, and 25%. Other variations used in the study included the use of 12V/100W floodlights in the purple, yellow, and no lighting spectrum, as well as an active carbon mass of 0.5 and 1 gram. The best adsorption rate is obtained with variations in activated carbon 60-200 mesh, activated carbon mass against a solution of 1 gram, and with purple lighting with a wavelength of 380-450 nm where the initial pH 2 and final pH of 4.8 and TDS decreased by 180 Ppm where the initial TDS is 9,690 Ppm and the final TDS is 9,510 PPM and has the potential to produce hydrogen.

show abstract

“…However, these methodologies do not take into account different types of water contamination since they are unable to identify all elements and their level of influence on the evaluation in order to meet functional area criteria, Therefore, groundwater quality index GWQI ( By entropy method was used to achieve this goal. The GWQI has been used in many studies to give a single value for the evaluation of water quality for drinking purposes such as (Rashid et al, 2016;Fatah et al, 2020;Beg et al, 2021). The groundwater quality index (GWQI) is employed in this study to assess the quality of the groundwater.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Quality Index Assessment using the Entropy Method on the Nineveh Plain in Northern Iraq

Al-Ozeer¹,

Al-Abadi²

2022

IGJ

View full text Add to dashboard Cite

Human health is greatly and directly affected by the quality of groundwater and the extent of its pollution. This research evaluated the quality of groundwater in the Nineveh plain in northern Iraq and determined the suitability of groundwater for drinking purposes. Sixty-nine groundwater samples were taken and the major physical and chemical constituents, including pH, TDS, EC, Ca2+, Mg2+, Na+, K+, Cl−, So42-, HCO3-, and NO3-. were analyzed to use in calculating groundwater quality index for drinking purpose based on the World Health Organization standards for the year 2017. To prevent subjectively assigning weights in the calculation groundwater quality index, the entropy information theory was used. The estimated groundwater quality index values were loaded into ArcGIS 10.8 as a point, shapefile and interpolated using Empirical Bayesian Kriging techniques to produce the final groundwater quality index map of the study area. Results indicated that the entropy groundwater quality index for 2.9% of the samples were within the excellent range, 33% were in the good range, 14.5% were within the moderate range. The groundwater quality index values range between (48-581.8). These values were manually classified into five categories: >200 (very poor), 200-150 (poor), 150-100 (moderate), 100-50 (good), and <50 (excellent). The study discovered that the excellent class occupies 0.2 % (50.9 km2) of the study area, while the good class occupies 23.4% (596 km2), the medium class occupies 18.6 % (473.7 km2), and the poor and extremely poor classes occupy 26.1 % (664.8 km2) and 31.7% (807 km2), respectively.

show abstract

Evaluation Groundwater Quality by Using Gis and Water Quality Index Techniques for Wells in Bardarash Area, Northern Iraq

Cited by 11 publications

References 10 publications

Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

Flood Susceptibility Mapping Using an Analytic Hierarchy Process Model Based on Remote Sensing and GIS Approaches in Akre District, Kurdistan Region, Iraq

Analisis Performa Karbon Aktif Kulit Bawang Merah (Allium Cepa Skin) Terhadap Perubahan Karakteristik Limbah Air Accu

Groundwater Quality Index Assessment using the Entropy Method on the Nineveh Plain in Northern Iraq

Contact Info

Product

Resources

About