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Table 2. Hazard classification and weighing values for hazards of Basara basin H is the weighting factor of each hazard. It defines he harmfulness of the groundwater threat, which may ye enhanced or decreased by ranking factors. H has een taken from a list of hazards that have a weighting actor ranging from zero to 100. Zero is not dangerous, vhereas 100 is highly harmful.

Table 2 Hazard classification and weighing values for hazards of Basara basin H is the weighting factor of each hazard. It defines he harmfulness of the groundwater threat, which may ye enhanced or decreased by ranking factors. H has een taken from a list of hazards that have a weighting actor ranging from zero to 100. Zero is not dangerous, vhereas 100 is highly harmful.

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actual assessment of groundwater pollution risks in this vital area by combining the process between the Pesticide DRASTIC Index and hazard map for producing the Risk Intensity Index (RII) Maps based on the European approach method (COST Action 620). The nitrate potential map was used for the optimizing and validating the results. categorized as Karstic Fissured Aquifers for Eeocene formations which represented by Sinjar and Pilaspi, Intergranular Aquifers, Miocene Complex Aquifers and Aquiclude, (Ali & Hamamin, 2012). Based on the records of the Sulaimani Directorate of Ground-Water SDGW, the depth to the groundwater level of the area of interest ranges from few meters to 114 m. The southern and the centeral parts of the area have the shallowest level, while the northern and northwestern parts characterized by the highest depth of water table.
actual assessment of groundwater pollution risks in this vital area by combining the process between the Pesticide DRASTIC Index and hazard map for producing the Risk Intensity Index (RII) Maps based on the European approach method (COST Action 620). The nitrate potential map was used for the optimizing and validating the results. categorized as Karstic Fissured Aquifers for Eeocene formations which represented by Sinjar and Pilaspi, Intergranular Aquifers, Miocene Complex Aquifers and Aquiclude, (Ali & Hamamin, 2012). Based on the records of the Sulaimani Directorate of Ground-Water SDGW, the depth to the groundwater level of the area of interest ranges from few meters to 114 m. The southern and the centeral parts of the area have the shallowest level, while the northern and northwestern parts characterized by the highest depth of water table.
method. In most other countries, this method is often used as a prognostic tool to manage groundwater resources, for example (Rahman, 2008), (Neshat, Pradhan, Pirasteh, & Shafri, 2014), (Ali & Hamamin, 2012). The DRASTIC technique produced a standardized methodology that provides the appropriate results for groundwater imaging, checking, and clean-up efforts in the regions.
method. In most other countries, this method is often used as a prognostic tool to manage groundwater resources, for example (Rahman, 2008), (Neshat, Pradhan, Pirasteh, & Shafri, 2014), (Ali & Hamamin, 2012). The DRASTIC technique produced a standardized methodology that provides the appropriate results for groundwater imaging, checking, and clean-up efforts in the regions.
Fig. 2. Generic DRASTIC map of Basara basin
Fig. 2. Generic DRASTIC map of Basara basin
vulnerability evaluation index; (Javadi, Kavehkar, Mousavizadeh, & Mohammadi, 2011). Based on the records of the Statistical Directorate in Sulaimani, different sorts of inorganic fertilizers are listed in the field of work, such as sodium nitrates and nitrogen-containing chemical compounds. Pesticide DRASTIC is a special case for the standard DRASTIC index. It is meant to be used where the pesticide application affects the region concerned. The pesticide model uses the same parameters but has different weights applied to the parameters S, T, |, and C (Meenakshi et al., 2019). Arc GIS 10.7.1 was used to process and represent the various layers of data in the DRASTIC model (Fig. 3). Map algebra and model builder tools were used to measure the standard and pesticide types.
vulnerability evaluation index; (Javadi, Kavehkar, Mousavizadeh, & Mohammadi, 2011). Based on the records of the Statistical Directorate in Sulaimani, different sorts of inorganic fertilizers are listed in the field of work, such as sodium nitrates and nitrogen-containing chemical compounds. Pesticide DRASTIC is a special case for the standard DRASTIC index. It is meant to be used where the pesticide application affects the region concerned. The pesticide model uses the same parameters but has different weights applied to the parameters S, T, |, and C (Meenakshi et al., 2019). Arc GIS 10.7.1 was used to process and represent the various layers of data in the DRASTIC model (Fig. 3). Map algebra and model builder tools were used to measure the standard and pesticide types.
A very basic approach that is often used to assess the risk level is described by (Morris, Foster, & Technology, 2000). They described the danger of groundwater contamination as the likelihood that the groundwater in the aquifer will become polluted at an inappropriate level of activity on the instantly overlying land surface.
A very basic approach that is often used to assess the risk level is described by (Morris, Foster, & Technology, 2000). They described the danger of groundwater contamination as the likelihood that the groundwater in the aquifer will become polluted at an inappropriate level of activity on the instantly overlying land surface.
Fig. 5. Relationship between average nitrate concentration and Generic DRASTIC index
Fig. 5. Relationship between average nitrate concentration and Generic DRASTIC index
Fig. 6. Relationship between average nitrate concentration and Pesticide DRASTIC index
Fig. 6. Relationship between average nitrate concentration and Pesticide DRASTIC index
The outcomes of the classified map are the hazard level according to their threat index class. For the assessment of the hazard index (HI), the coefficient of H, Qn, Rf was inserted in the attribute table, and the measurement was tested in the hazard index software relevant to Arc GIS 10.7.1 gathered from the satellite image. The agricultural and urban areas have been allocated on the basis of their population and area. Industrial threat areas have been identified based on their scale and operations. In the first step, the infrastructure of the site was surveyed and mapped (towns, small villages, roads, graveyards, greenhouses, industrial factories, gardens, sports stadiums, poultries, etc.).
The outcomes of the classified map are the hazard level according to their threat index class. For the assessment of the hazard index (HI), the coefficient of H, Qn, Rf was inserted in the attribute table, and the measurement was tested in the hazard index software relevant to Arc GIS 10.7.1 gathered from the satellite image. The agricultural and urban areas have been allocated on the basis of their population and area. Industrial threat areas have been identified based on their scale and operations. In the first step, the infrastructure of the site was surveyed and mapped (towns, small villages, roads, graveyards, greenhouses, industrial factories, gardens, sports stadiums, poultries, etc.).
-ig. 9. Risk intensity map of Basara basin
-ig. 9. Risk intensity map of Basara basin
(high, moderate, low, no or very low and very high). while, the RII rating classification was (no or very low, low, moderate, very high, and high) respectively.
(high, moderate, low, no or very low and very high). while, the RII rating classification was (no or very low, low, moderate, very high, and high) respectively.
Table 6. Risk intensity and Pesticide DRASTIC class level of Basara basin
Table 6. Risk intensity and Pesticide DRASTIC class level of Basara basin
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