AWS Public Sector Blog

Harnessing cloud solutions to tackle water challenges

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Climate change is a global issue, but its localized impacts can vary significantly across different regions. While some areas are experiencing extreme drought, others are witnessing devastating flash floods. These extreme events, and water quantity and quality issues more broadly, are pressing concerns in the Europe, Middle East, and Africa (EMEA) region, further aggravated by the uncertain impacts of climate change.

Summer droughts in Europe have led to long-term farm and monetary losses, such as annual losses of €23 million in German agriculture in the wheat crop alone and short-term impacts like the Catalonian restrictions placed on household water use. Meanwhile, more than 36 million people face severe food insecure in the Horn of Africa region, which faces its worst drought in 40 years.

Within the Middle East and North Africa (MENA) region, water scarcity can be a result of the hyper-arid environment and overexploitation of aquifers and rivers, leading to groundwater depletion. And in Europe, a major water quality concern is eutrophication due to increasing concentration of nutrients such as nitrogen and phosphorus in reservoirs and lakes, which have impacts on irrigation and household consumption.

In this post, we explore how Amazon Web Services (AWS) cloud-based technologies can be used to address EMEA’s diversified and dynamic water challenges. As climate change and demographic shifts continue to strain water resources, the need for innovative, technology-driven solutions has never been more urgent. This post can serve as a resource for public sector leaders, utilities, and environmental agencies seeking to harness the power of the cloud to create a more sustainable water future for the EMEA region and beyond.

Early warning systems for floods and droughts

Effective flood disaster mitigation requires a comprehensive monitoring network to provide timely warnings and allow for appropriate response actions. There are three types of flooding: pluvial flooding, caused by excessive rainfall that can overwhelm drainage systems in urban areas; fluvial flooding from river overflows, which can damage floodplains; and coastal flooding from storm surges and rising sea levels worsened by climate change. Disaster reduction efforts focus on prediction, monitoring, and impact assessment through a cycle of prevention, preparedness, emergency response, and recovery.

Recent advancements in flood monitoring include using satellite images for flood detection and mapping, especially in regions lacking ground-based observation systems. Floodmapp, an Australian startup, has developed a real-time flood mapping and monitoring platform that uses AWS services such as AWS Batch and Amazon Elastic Container Service to provide accurate, location-specific flood data. Using the scalability, reliability, and breadth of AWS services, Floodmapp has been able to quickly develop and deploy its innovative flood mapping solution, which helps communities better prepare for and respond to flooding events.

Unlike floods, droughts develop slowly, allowing decision-makers to anticipate and respond effectively through early drought information systems that use dynamic modeling and real-time data. Droughts are classified into four categories, from meteorological drought characterized by low precipitation to socioeconomic drought impacting human activities.

Predictions and warnings can be based on detecting meteorological droughts because they can precede other categories or by monitoring other categories as well. For example, a solution built on AWS for monitoring Lake Mead drought using Amazon SageMaker geospatial capabilities demonstrates how these capabilities can be used to track changes in the water levels of Lake Mead, the largest reservoir in the United States. The trained model is then deployed as an inference endpoint, allowing for real-time monitoring of the hydrological drought and potentially affecting 20 million people and large farmlands.

Comprehensive monitoring networks

Ground-based sensing and the Internet of Things (IoT) are making large-scale, cost-effective sensory networks more accessible, enhancing both the quantity and quality of water monitoring data. For example, a smart home water monitoring solution deployed in the city of Cape Town, South Africa, uses AWS IoT, analytics, and visualization services to help homeowners understand their water usage patterns, detect leaks, and contribute to more sustainable water management practices.

Additionally, innovations like analyzing camera images and crowdsourcing personal weather data are expanding sustainable monitoring capabilities. By integrating these various data sources and using cloud-based analytics, water managers can make more informed decisions to optimize water usage and address emerging challenges. For example, the city of Durban in South Africa has used cloud-based technologies to tackle its water crisis, using data-driven insights to improve water management and conservation efforts.

Beyond monitoring: Towards digital twins and collaborative water stewardship

As the capabilities of cloud-based technologies continue to evolve, new possibilities are emerging to address water challenges. For example, creating digital twins of water systems promotes more effective management and simulation of various scenarios. Digital twins built on AWS can help unlock business value and outcomes for water management by providing a virtual representation of physical water systems that can be used for simulations, optimization, and predictive analytics.

The scalability and flexibility of the cloud makes the creation of these digital replicas possible, and they can be continuously updated and improved over time as new data and technologies become available.

Moreover, cloud-based platforms can foster collaborative water stewardship by facilitating data sharing, joint decision-making, and the development of innovative solutions across multiple stakeholders, including government agencies, utilities, and environmental organizations. This collaborative approach is crucial in addressing the complex, broad-reaching nature of water challenges.

User adoption and behavioral change

However, users, especially those in small-scale operations, often face challenges when adopting new technologies. First, they need access to information on how to effectively use these technologies. Further, adopting new technologies often entails a behavioral change. Therefore, it is essential to understand the motivations behind such behavior.

These motivations may go beyond cost-effectiveness and include social and cognitive factors such as the prevailing social norms around new technologies. For instance, Floodmapp’s platform could perhaps see more adoption among people who are aware of and averse to the risk of flooding. Similarly, the partners in Durban were more enthusiastic about digital solutions once they could trust both the technology and technology providers and felt more capable of operating and maintaining the solution.

A user-focused approach that considers these determinants of acceptance, support, and behavior change is essential to designing more nuanced strategies to promote adoption. While promoting Floodmap adoption might require more risk-related awareness building, a solution like that in Durban might require more capacity and trust building. 

Conclusion

The EMEA region faces diverse and intensifying water challenges, from extreme events like droughts and floods to long-term issues of water quantity and quality. By harnessing the power of cloud-based technologies, public sector leaders, utilities, and environmental agencies can develop innovative solutions to create a more sustainable water future for the region and beyond. From early warning systems and comprehensive monitoring networks to the integration of emerging technologies like digital twins and generative AI, the cloud offers a versatile and scalable foundation for addressing the water challenges of today and tomorrow. As the impacts of climate change and demographic shifts continue to strain water resources, the need for these technology-driven solutions has never been more urgent.

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Neelima Kadirisani

Neelima Kadirisani

Neelima is a senior sustainability business development manager at Amazon Web Services (AWS). She supports public sector customers in accelerating sustainable development using cloud technologies across Europe, Middle East, and Africa. With a background in sustainability leadership across multiple industries, Neelima specializes in carbon emissions reduction, circular economy solutions, and environmental and social product lifecycle assessment.

Soham Adla

Soham Adla

Soham Adla is an environmental researcher and manager with experience in sustainable water management and climate-smart agriculture, focusing on low-cost solutions. He works at the Delft University of Technology on understanding technology adoption in agriculture and co-creating digital technologies from a user-centric, behavioral perspective. His experience spans the research, industry, and nongovernmental organization (NGO) sectors.