BIG DATA ANALYTICS TECHNOLOGY FOR WATER RISK ASSESSMENT AND MANAGEMENT - ASIA PACIFIC TECH MONITOR VOL 34 NO. 3 ( JUL -SEP 2017)
Natural disaster driven by climate variability and climate change pose major impacts to developing countries such as Malaysia. Anthropogenic climate change will add greater pressure on resources, jeopardize sustainability, and intensify inter-sectorial conflicts over water. The resulting disasters take more lives and lead to more damage such as drought and floods. For example, the massive floods occurred in Kelantan, Terengganu and Pahang in December 2014 that caused losses of about RM2.9 billion. Thus, appro- priate, effective and innovative decision making tools and adaptation strategies are required to reduce the negative impacts of climate change and to achieve sustainable development specifically on water resources management. Evolution and growth of hydro-climate data would be an added advantage to conduct further analysis on water risk assessment and management. Big Data Analytics (BDA) technology is integrated as a solution to manage, utilise, maximise, and expose insight of climate change data for dealing with water related natural disasters. The aim of this paper is to emphasis on NAHRIM’s BDA technology concerning to disaster management through water risk assessment and management focusing on data-driven methodology. The NAHRIM’s BDA output visualisation consists of hydro-climate-environment data and informa- tion is detailed and comprehensive for facilitating stakeholders to prepare a strategic plan for mitigation and adaptation in order to combat water risk issues due to climate change. Hence, it would help to accommodate preparedness and readiness of water related disasters in the future.
Authors
Abstract
Natural disaster driven by climate variability and climate change pose major impacts to developing countries such as Malaysia. Anthropogenic climate change will add greater pressure on resources, jeopardize sustainability, and intensify inter-sectorial conflicts over water. The resulting disasters take more lives and lead to more damage such as drought and floods. For example, the massive floods occurred in Kelantan, Terengganu and Pahang in December 2014 that caused losses of about RM2.9 billion. Thus, appro- priate, effective and innovative decision making tools and adaptation strategies are required to reduce the negative impacts of climate change and to achieve sustainable development specifically on water resources management. Evolution and growth of hydro-climate data would be an added advantage to conduct further analysis on water risk assessment and management. Big Data Analytics (BDA) technology is integrated as a solution to manage, utilise, maximise, and expose insight of climate change data for dealing with water related natural disasters. The aim of this paper is to emphasis on NAHRIM’s BDA technology concerning to disaster management through water risk assessment and management focusing on data-driven methodology. The NAHRIM’s BDA output visualisation consists of hydro-climate-environment data and informa- tion is detailed and comprehensive for facilitating stakeholders to prepare a strategic plan for mitigation and adaptation in order to combat water risk issues due to climate change. Hence, it would help to accommodate preparedness and readiness of water related disasters in the future.
Citation
IR. MOHD ZAKI MAT AMIN, IR. MARINI MOHAMAD IDERIS , MOHAMMAD FIKRY ABDULLAH, ZURINA ZAINOL. 2017. BIG DATA ANALYTICS TECHNOLOGY FOR WATER RISK ASSESSMENT AND MANAGEMENT - ASIA PACIFIC TECH MONITOR VOL 34 NO. 3 ( JUL -SEP 2017). Digital NAHRIM Publication Repository.