Identification of potential landslide hazard zonation mapping using geoinformatics for Kohima region, Nagaland, India

Climate change is increasing the frequency of natural hazards such as intense landslide, flood and storms. Predictably, vulnerability assessment focuses on individual risks, but the importance of addressing hazards collectively is now unavoidable using geoinformatics. A huge area of Nagaland is prone to landslides. The main causes of slope instability in the region are attributed to young geology, high slope and relief, heavy rainfall and improper land use practice. In the present study, identification of potential landslide hazard zonation study of Kohima region has been attempted using Google earth�s high resolution satellite data. The lithology, geological structures, slope aspect ratio, relative relief and land use and land cover layers of Kohima region were prepared using geoinformatics techniques; which includes geographical information system (GIS), remote sensing (RS) and global positioning system (GPS). These were classified, ranked and weighted according to their assumed or expected importance in causing slope instability based on a priori information of the expert. A heuristic method has been applied for the assignment of ranks and weights. Landslide hazard zonation map is generated showing five hazard classes ranging from very low hazard, low hazard, moderate hazard, high hazard and very high hazar

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Not AvailableThere have been numerous attempts to transfer Papaya ringspot virus type P (PRSV-P) resistance from wild Vasconcellea relatives to Carica papaya L. Success has been limited by the high degree of genetic divergence and incompatibility. In the present work, the advanced intergeneric population of Carica papaya (var. Arka Surya) and Vasconcellea cauliflora were evaluated for morphological, fruit traits and PRSV- P tolerance. Among the 38 F6 intergeneric progenies evaluated, seven progenies were found to be tolerant under field condition. The fruit quality traits were also found to be acceptable coupled with disease tolerance. These selected progenies recorded fruit traits viz., fruit weight (624-820g), pulp thickness (2.44-3.18 g), TSS (9.05- 10.04ͦ B), acidity (0.11- 0.15 %) and total carotenoids (3.63- 9.08 mg 100g-1FW). Thus, based on the morphological traits, fruit quality and PRSV tolerance, the advanced intergeneric progenies viz., R5P16, R6P16, R7P16,R14P7, R17P16, R19P1 and R35P10 may be forwarded for next generation (F7) and further evaluation.Not Availabl