Climate Change Impacts on Water Resource and Air Pollution in Ka­bul Sub-basins,Afghanistan

This Climate Change Impacts on Water Resources and Air Pollution,research is carried out to analysis Hydro-meteorological and groundwater data in Kabul Sub-basins,Afghanistan.The main objective of this research is to find out natural causes of climate change effects on surface and to,groundwater resources and air pollutions,these data are collected from diferent Hydrometeoroiogical stations and observations in Kabul Sub-basins for different years(1957 to 2017).For completion this research they used two categories of data analysis;one is hydro meteorological analysis,and the other is groundwater level analysis.In hydro meteorological analysis air temperature,rainfall and discharge have been recovered by this research in Kabul Sub-basins,a number of air temperature,rainfall,discharge of surface water and groundwater are changes due to climate changes from 1957 to 2017.For climate changes effects this article used air pollution data of national,international development bank of Asia,WHO standards and parameters;PM_(2.5),PM_(10),TSP,NO_(2),SO_(2),O_(3),CO and Pb.From comparing PM_(10) are very higher in the air of Afghanistan.The discharge of Panjsher river due to glacier melting and climate changes increasing.The challenges during this research are lack of equipment.

An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters

Dynamic visualization of multidimensional hydrometeorological data is vital for decision-makers to catch situational awareness and command an emergency response in natural disasters.Nevertheless,few software tools can comprehensively visualize hydrometeorological data in different scales,dimensions,and time.In this paper,an interactive 4D spatio-temporal visualization system based on a virtual globe is proposed.Voxel-based data model and multi-level index are adopted to organize the field data in a unified data structure.Meanwhile,it is resampled in both spatial and temporal dimensions in memory to prepare smooth data stream for rendering.Ten field models,including large-scale volume rendering and adaptive streamline rendering,are accelerated and integrated to display the field data collaboratively.The profile analysis and eddy tracking improve user experience in interactively exploring specific scenes.The system is tested against both large-scale meteorological data in the atmosphere and small-scale hydrological data at the surface,using typhoon landfall and riverine flood,respectively.The results demonstrate the applicability and efficiency of the system to dynamically visualize hydrometeorological data.