The livelihoods of poor people living in rural areas of Indus Basin Irrigation System (IBIS) of Pakistan depend largely on irrigated agriculture. Water duties in IBIS are mainly calculated based on crop-specific evapotranspiration. Recent studies show that ignoring the spatial variability of factors affecting the crop water requirements can affect the crop production. The objective of the current study is thus to identify the factors which can affect the water duties in IBIS, map these factors by GIS, and then develop the irrigation response units (IRUs), an area representing the unique combinations of factors affecting the gross irrigation requirements (GIR). The Lower Chenab Canal (LCC) irrigation scheme, the largest irrigation scheme of the IBIS, is selected as a case. Groundwater quality, groundwater levels, soil salinity, soil texture, and crop types are identified as the main factors for IRUs. GIS along with gamma design software GS + was used to delineate the IRUs in the large irrigation scheme. This resulted in a total of 84 IRUs in the large irrigation scheme based on similar biophysical factors. This study provided the empathy of suitable tactics to increase water management and productivity in LCC. It will be conceivable to investigate a whole irrigation canal command in parts (considering the field-level variations) and to give definite tactics for management.

Frequent oil spills in the Niger Delta have severely influenced the environment in oil production and transportation areas. Vegetation degradation is one of the remarkable results of oil spills in the region. Hence, GIS was used to build an Oil Spill Risk Assessment Model for Vegetation (OSRAMV) in the southern part of the Rivers state, mainly in the Bonny district to define areas under high levels of oil spill hazard and vegetation areas under high oil spill risk. Oil Spill Hazard Model (OSHM) was examined to ensure its accuracy by recorded oil spill impacted areas | 71.6% of impacted areas pixels were in severe hazard areas. Whereas none of impacted areas were located in very low, or low oil spill hazard areas. The final OSRAMV showed that 66.5% of the examined oil spill sites were located in high risk areas.

Geospatial technology was utilized in this study to specifically delineate groundwater potential zones. IRS-LISS III data in conjunction with Survey of India toposheet (1:50,000) and extensive field data were used for the preparation of various thematic maps. Various thematic maps have been prepared for geology, geomorphology, slope, relative relief, land use, drainage density, lineament density, transmissivity, storativity and water table fluctuation. Thematic maps have been integrated in GIS by assigning suitable rank and weightage to each parameter based on their respective significance. Integrated groundwater potential map is a genuine tool decidedly resourceful for sustainable groundwater development and management. The charisma of this innovative method is that, this model can be used in any other area to functionally demarcate groundwater potential zones, and hence will be of immense societal significance.