In north Gujarat, local communities depend on Precambrian basement aquifers for their primary source of water supply. Increasing demand for potable water puts stress to explore groundwater from less reliable sources of basement rocks. The objective is to map groundwater potential zone (GWPZ) in water-scarce Precambrian terranes using integrated multi-criteria analysis (AHP and Geospatial techniques). Various important thematic has been prepared and the output of the GWPZ map was grouped into six different categories.The results show that very-high and high groundwater potentials extend over an area of 4.29% and 12.86% respectively of the total area. The Kappa index method was used for validation and its result showed an effective and reliable result between collected water level data with calculated GWPZ. It shows 83.3% accuracy for very-high, 85.7% accuracy for 2 high, and 90.1% accuracy for moderate GWPZ. The synthesis of the work can be applied anywhere having similar setups for groundwater prospect and management.
Assessment of carbon stock in vegetation and soil is an essential step in estimating the carbon sequestration potential of an ecosystem. This study was carried out to quantify total carbon sequestration in different forest types of the Pokhare Khola sub-watershed (forested area of 312 ha), Dhading, Nepal. The inventory for estimating the above and belowground biomass of different forests was carried out using the stratified random sampling method with 0.5% sampling intensity for plant biomass. The dry biomass was calculated using allometric models.Four soil profiles from each forest types were excavated and soil samples were taken from the soil profile up to 1 m depth at intervals of 20 cm. The soil bulk density was collected using a core ring sampler of 9.5 cm long and 4.2 cm diameter and organic carbon content was assessed using the Walkley and Black method. The total soil carbon stock in all forest types was estimated at 42,523 t/ha, Shorea forest 62%, Schima-Castonopsis forest 25%, Pine-Shorea forest 5.5%, and degraded forest 7.5%. The distribution pattern of carbon stock was mainly due to the biomass of the stand, carbon content of soil and area coverage of these forest types. The total biomass carbon in forest was found as 77.68 t/ha and SOC sequestration 58.6 t/ha.The study showed that soil organic carbon was higher in the upper layer (0-20cm) in all forest types and rapidly declined below the 20-40cm depth. The rate of SOC concentration is in decline trend as the depth increased. The study revealed that a Shorea forest and Schima-Castonopsis forest are better than a Pine-Shorea forest and degraded forest in carbon stocking.
The landslide triggering factors were investigated followed by the thematic maps and landslide distribution map prepared and classified using the GPS and GIS Softwares like CartaLinx, ArcView and ERDAS IMAGINE in Sarangkot and Kaskikot Village Development Committees, Kaski district. In analytical hierarchy process, the factors for zonation were compared by Couple Comparison Method and their weights were determined using Arithmetic Mean Method and earned weight values of each factor. The landslide hazard zonation model was employed to prepare landslide hazard zonation map of the study area, and then classified into five relative hazard classes using the equal interval classification method. Finally, the landslide hazard zonation map was crossed with the landslide distribution map and the model applicability was confirmed by determining the per hazard class percent of area covered by the landslide. In the land hazard zonation map, 0.44% of the study area was in very low hazard, 2.11% in low hazard, 54.92% in moderate hazard, 21.34% in high hazard and 21.19% in very high hazard area. The major portion of the study area was on the moderate zone whereas the least portion was on the very low hazard zone. In the study area, most of the high and very high hazard class areas were found occupying the areas closer to the linear triggering factors like presence of linement and fault, presence of motorable road and presence of rivers and streams. The landslide density of the study area was found to be 0.44 per km2 indicating the higher hazard susceptibility of the area.DOI: http://dx.doi.org/10.3126/banko.v22i2.9198Banko Janakari: A Journal of Forestry Information for NepalVol. 22, No. 2, 2012 November Page: 43-52 Uploaded date: 12/1/2013
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