Description: The sustainable management of groundwater resources is a pressing necessity for most countries. As most of the Arab world is facing severe water scarcity, threats of depletion of non-renewable groundwater, and problems of pollution and salt-water intrusions into groundwater aquifers, much effort should be devoted to eliminate these dangers in advance. This work was devoted to bring up insights into Arab world research activities in groundwater, which is a crucial task to identify their status and can help in shaping up and improving future research activities. A bibliometric analysis has been conducted to track these activities. The study identified 1417 documents which represent 3.3% of global research productivity. Egypt was the most productive country (313; 22.1%), followed by Saudi Arabia (254; 17.9%). Total citations were 9720 with an average of 6.9. The h -index of the retrieved documents was 39, and the highest one was 22 for Egypt. The most common subject category was Environmental Science, and the most productive journal was Arabian Journal of Geosciences (99; 7.0%). In international research collaboration, France was the most collaborated country with Arab world (125; 8.8%), followed by the United States (113; 8.0%). The most productive institution was King Abdul-Aziz University, Saudi Arabia (66; 4.7%). The outcomes shows remarkable improvements in groundwater research activities originated from the Arab world. Even though, constructive efforts should be pursued vigorously to bridge the gaps in groundwater-based research. Moreover, promotion of better evaluation tools to assess the risks arising from the mismanagement of groundwater resources is required urgently.

Description: Publication date: Available online 1 September 2017 Source: The Egyptian Journal of Remote Sensing and Space Science Author(s): H.A. Bharath, M.C. Chandan, S. Vinay, T.V. Ramachandra Metropolitan cities in India are emerging as major economic hubs with an unprecedented land use changes and decline of environmental resources. Globalisation and consequent relaxations of Indian markets to global players has given impetus to rapid urbanisation process. Urbanisation being irreversible and rapid coupled with fast growth of population during the last century, contributed to serious ecological and environmental consequences. This necessitates monitoring and advance visualisation of spatial patterns of landscape dynamics for evolving appropriate management strategies towards sustainable development approaches. This study visualises the growth of Indian mega cities Delhi, Mumbai, Pune, Chennai and Coimbatore, through Cellular Automata Markov model considering the influence of agent(s) of urban growth through soft computing techniques. CA Markov model is considered to be one of most effective algorithm to visualise the growth of urban spatial structures. Prediction of growth using agent based modelling considering the spatial patterns of urbanisation during the past four decades has provided insights to the urban dynamics. The industrial, infrastructural, socio-economic factors significantly influence the urban growth compared to the biophysical factors. Visualisation of urban growth suggest agents driven growth in the cities and its surroundings with large land use transformations in urban corridors and upcoming Industrial and ear marked developmental zones. Integrating local agents of urban growth help in identifying specific regions of intense growth, likely challenges and provide opportunities for evolving appropriate management strategies towards sustainable cities during the 21st century.