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Research on the impact of climate change on water resources has attracted the attention of academician and policy makers. This paper tends to analyze the impact of changes in air temperature and rainfall factors on the amount of water resources in the Huai River Basin from 1980 to 2014. Air temperature and rainfall data were collected from six meteorological stations. Hydrological and water resources evaluation data were collected from the Bengbu Hydrological Station in the Huai River Basin. Research findings revealed an increasing trend of average annual air temperature, with the highest increase of 0.293oC recorded at Bengbu in Anhui Province. The western part of the study area has shown a rising rainfall while the eastern part (the middle reaches of the Huai River) witnessed a declining rainfall. The rainfall in the Huai River Basin was significantly influenced by the natural fluctuations as the average rainfall in the study area was in a vaguely declining trend. This resulted in gradual decrease in the quantity of the Basin’s water resources due to decreasing rainfall and rising air temperature. Regression and sensitivity analyses were employed to develop a mathematical model between water resources quantity and changes in air temperature and rainfall. Based on regression analysis findings, changes in rainfall have a much bigger impact on its water resources quantity than changes in its air temperature.

Renewable energy sources and technologies have the potential to provide solutions to the long-standing energy problems being faced by the developing countries like Pakistan. Pakistan is endowed with various renewable energy resources such as solar, hydal, wind, biofuel and geothermal. It can earn dividends if these resources are explored, exploited and developed. Pakistan lies in an area of one of the highest solar insulation in the world. The aim of this paper was to identify the areas receiving maximum solar radiation in Pakistan by studying the cloud cover on Pakistan in June, July and August (Monsoon period having maximum clouds) in 2005-2009 and highlighting the use of Remote Sensing in Harnessing the renewable energy resources. The results indicated that Multan and Dera Gazi Khan had the minimum cloud cover on both seasonal and yearly basis. Many locations in Baluchistan, Punjab and Sindh province (Costal Area) also have a great potential for solar energy. This vast potential can be exploited to overcome the energy shortage as the promotion, management and deployment of indigenous energy resources is an obligatory requirement to address the climate change, energy security and sustainable development issues.