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Like India, Bangladesh and China, Pakistan also has some regions where concentration of Arsenic in water has crossed the WHO safe drinking water limits, 10 ppb. Presence of Arsenic in drinking water is causing serious human health issues for the local residents of Sindh and southern Punjab, which needs serious attention. The present study is focused on the spatial distribution of Arsenic in groundwater and its relationship with the major reported human diseases at settlement level of District Layyah. Data collection is done by taking water samples from hand pumps and health issues reported at the local health care centers adjoining to that sampling pump. The spatial distribution of Arsenic concentration in groundwater is done by using Inverse Distance Weighting (IDW) technique. Arsenic Risk Index (ARI) is developed based of WHO health standards, and then used to divide study area into two Arsenic Risk Zones as no risk and high risk with As values less or equal to 10 ng•ml −1 and greater than 10 ng•ml −1 , respectively. In the final step these zones were correlated with the diseases at village level. The results show that, Arsenic is high near the Indus River and it decreases in central and eastern parts towards Chenab River. Same trend of Indo-Chenab Arsenic gradient is followed by skin diseases among the people especially, in tehsil Layyah and tehsil Koror. It is concluded that high Arsenic amount in water and skin diseases are highly dependent on the recharge from Indus River. Y. Hussain et al.

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Rapid and poorly managed agricultural landuse in Punjab plain is a major contention in groundwater quality deterioration. This study is focused on the determination of groundwater vulnerability potential of vadose material using geo-electrical method. Total of eight electrical resistivity soundings with Schlumberger electrode configuration are taken near Khizarabad Dairy Form, district Sargodha. The instrument ABEM Terrameter SAS 300 is used for data acquisition. The quantitative interpretation is done by 1D modelling of resistivity soundings by using IX1D software. The results characterize the area into three geo-electrical layers as dry alluvium (15.7-32.4 Ωm), saturated alluvium with high resistivity (10-20 Ωm) and low resistivity (>10 Ωm). Aquifer vulnerability is assessed by calculating Dar Zarrouk parameter (Longitudinal Conductance) and thickness of vadose zone. Resultant vulnerability is divided into three zones as low (>3.8 siemens) moderate (1.6-2.5 siemens) and high (<1.6 siemens). It is concluded from this study that Vertical Resistivity Sounding (VES) can be used for vulnerability assessment of an unconfined sandy alluvial aquifer from agricultural contaminants.