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Mission Mausam: Making Bharat Weather-Ready and Climate-<b>Smart</b> | IndianWeb2.com

India’s tropical weather is notoriously complex, with sudden cloudbursts, lightning storms, and localized droughts often catching communities off guard. As climate change intensifies, the challenge of predicting these events has grown sharper. To address this, the Ministry of Earth Sciences has launched Mission Mausam, a ₹2,000 crore national initiative approved by the Union Cabinet to transform India’s weather and climate forecasting capabilities between 2024–2026. Why Mission Mausam Matters - Forecast accuracy has improved 40–50% in the past decade. - Current models operate at 12 km resolution, limiting small-scale forecasts. - Mission Mausam will reduce resolution to 6 km for Panchayat-level predictions. - Goal: Make Bharat a Weather-ready and Climate-smart nation. Key Objectives - Deploy next-generation radars and satellites. - Establish high-performance computing (HPC) systems. - Use AI/ML tools to enhance prediction accuracy. - Develop earth system models for atmosphere, ocean, and polar regions. - Create last-mile dissemination systems via apps, websites, and social media. - Foster academia-industry partnerships and incubation centres. Strategy in Action | Initiative | Details | |---|---| | Weather Infrastructure | 50 Doppler Radars, 60 RS/RW, 100 disdrometers, 25 radiometers | | Testbeds | Urban and process testbeds for cloud and land studies | | Forecasting | AI-driven nowcast systems with hourly updates | | Weather Modification | Cloud seeding experiments using drones and aircraft | | Air Quality | New monitoring instruments for smart cities | | Decision Support | Automated DSS for disaster management authorities | Who Benefits - Farmers: Precise rainfall forecasts for crop planning. - Civil aviation and transport: Improved storm tracking. - Smart cities and health services: Enhanced air quality predictions. - Defence and disaster management: Real-time decision support. - Energy, shipping, tourism, and urban planning sectors gain resilience. Implementation Network - IMD: Observations, services, dissemination. - IITM: Field campaigns, modeling, testbeds.

Turkmenistan President issues directive on ensuring country's preparation for WUF13 in Baku

Turkmenistan President issues directive on ensuring country’s preparation for WUF13 in Baku Turkmenistan President Serdar Berdimuhamedov has instructed relevant officials to ensure comprehensive preparations for the country’s participation in the 13th session of the World Urban Forum (WUF13), which will be held in Baku, AzerNEWS reports, citing the press service of the Turkmen government. The directive was issued during an online meeting of the Cabinet of Ministers dedicated to Turkmenistan’s macroeconomic indicators for the period of January–April 2026. WUF13 is scheduled to take place in Baku from May 17 to 22. The high-profile event is being organized in close cooperation between Azerbaijan and the United Nations Human Settlements Programme (UN-Habitat). The forum aims to facilitate the exchange of global experience in sustainable urban development, smart cities, and innovative urban solutions. Here we are to serve you with news right now. It does not cost much, but worth your attention. Choose to support open, independent, quality journalism and subscribe on a monthly basis. By subscribing to our online newspaper, you can have full digital access to all news, analysis, and much more. You can also follow AzerNEWS on Twitter @AzerNewsAz or Facebook @AzerNewsNewspaper Thank you!

<b>Smart</b> bin in London tracked pedestrians' cell phones, used WiFi to measure urban ...

Smart bin case in London exposed WiFi cell phone tracking and raised debate about privacy in public spaces The smart bin in London became an emblematic case after being used to capture cell phone signals from pedestrians via WiFi. The object looked common but functioned as part of a system capable of measuring the circulation of people in the streets. The investigation was published by Marketinglaw, a legal website maintained by Osborne Clarke. The bins had advertising screens and were used to identify nearby devices, monitor passing trends, and transform the sidewalk into a kind of urban behavior panel. The impact was direct: the City of London Corporation ordered the company to stop data collection. The case reinforced a growing question in modern cities: to what extent does urban technology help the population, and when does it start to monitor those who are just walking down the street? - The airport that promises to bring tourists closer to Machu Picchu has become a symbol of threat to the Sacred Valley of the Incas, with protests, warnings from archaeologists, and fear of transforming cultural heritage into a corridor for mass tourism. - Part of Brazil will be able to see this Sunday the Moon hide Antares, a supergiant star 883 times larger than the Sun, in a rare occultation visible throughout the Southern Region and areas of SP, RJ, MS, and southern Minas during the night and early morning. - South Korea creates an unusual napping competition to combat extreme sleep deprivation and an exhausting routine that concerns experts. - Rural residents of Northern Ireland accuse a £300 million electricity project of transforming their lands into an energy corridor for data centers, with over 100 pylons, visual impact, and fear of devaluation. How an advertising bin started tracking cell phones in

Global drive: Chinese tech firm behind Singapore autonomous public bus trial eyes further fields

Global drive: Chinese tech firm behind Singapore autonomous public bus trial eyes further fields Sign up now: Get insights on Asia's fast-moving developments BEIJING – Autonomous driving firm MOGOX marked its international debut in 2025 when it was part of a consortium that clinched the contract to deploy the first driverless vehicles on public bus routes in Singapore. But the Beijing-based firm has larger ambitions – to be the world’s No. 1 brand for autonomous buses, building on the foundation of the Singapore project. The contract marked the first time a Chinese autonomous bus has entered the public transport network of a developed country, noted MOGOX vice-president Lu Bin, who is in charge of the Singapore trial. In a recent interview with The Straits Times, he said that as a hub in South-east Asia and a developed nation, Singapore is known for its strict regulations and rigorous standards. “It is globally recognised as a benchmark for smart cities, and its entrance criteria for autonomous driving technology are regarded by the industry as the ‘gold standard’,” he said. “Securing certification from the Singapore Government is equivalent to obtaining a certificate of entry into high-specification global markets, laying the foundation for entry into other overseas markets.” MOGOX’s self-developed tech, with sensors that are installed in vehicles at the factory instead of retrofitted, will be deployed on two Singapore routes in the latter half of 2026, in Marina Bay and one-north. The company – whose consortium partners in the project are Chinese electric vehicle giant BYD and Singapore-registered software and application developer MKX Technologies – expects its tech to deliver an experience as seamless as human-driven buses. In recent years, Chinese firms such as MOGOX have been turning driverless mileage at home into commercial trials and large-scale deployments abroad. China aims to become

Govt taps tech companies, startups using AI for better governance | Delhi News

New Delhi: Delhi govt is planning to use artificial intelligence to strengthen governance and improve service delivery across departments. It will engage technology companies, startups and research institutions to develop AI-based solutions for sectors such as healthcare, education, transport, urban planning and air quality monitoring. The initiative aims to identify proven, market-ready technologies that can first be piloted and later scaled up across departments. Only AI solutions with at least one successful implementation will be considered. The move is expected to enhance efficiency and responsiveness in govt systems. According to an expression of interest document floated by the IT department, the govt plans to integrate artificial intelligence tools to improve governance outcomes across multiple domains. âWe are committed to promoting the adoption of AI and emerging technologies to enhance governance, improve citizen services, and drive innovation across sectors. A tender has been floated to seek interest from technology companies, startups, academic institutions, research organisations, and industry bodies to showcase their AI-based products, solutions, projects and use cases relevant to public service delivery and governance,â an official said. The official added that the objective is to identify innovative AI solutions that can be adopted or piloted at the departmental level. âInitially, we are focusing on smart governance and public service delivery, urban planning and smart cities, environment and air quality monitoring, health and health services management, transport and mobility, and education,â the official said. The govt will review responses from stakeholders, including AI solution providers, startups, academic and research institutions, industry associations, innovation labs, system integrators and technology consulting firms. âWe want to identify practical AI applications that can be tested through pilot projects within departments. Participants will be required to demonstrate their tools before a govt panel and outline their technology, current usage and potential benefits,â the official added.

AI <b>cities</b> and their role in supporting the national economy

Cities are rapidly changing due to Artificial intelligence (AI) which is creating “AI-powered” cities or “smart” cities. These cities incorporate machine learning, data analytics and automation into the city’s infrastructure and public utility services. The benefit for city residents is improved efficiency and the benefit for national economies is exponential growth. AI cities are dependent on data. Sensors, monitors and internet-connected devices collect data on the daily consumption of energy, infrastructure safety and many event types of utilisation data. AI analyses the data and makes decisions that optimise the operation of these resources to reduce congestion and safely distribute resources. This AI provides the infrastructure and a national economy a safe and reliable way to become less expensive and more productive. AI cities also provide important economic resources, including efficiencies. A “smart” energy grid employs AI to reduce the distribution of services. This goal of the “smart” grid is to eliminate the loss of services and increase the affordability of services. In a “smart” water management system, savings of lost resources, of high value, provide for positive economic growth of the nation to be funded by other services. Of particular importance are the positive results provided to the community of healthcare and educational services. AI cities draw investment and foster innovation ecosystems. Digital infrastructure attracts technology companies, startups and research institutions. As innovation hubs develop, new products, services and business models are created. Startups, in turn, grow, scale and create jobs while raising exports and contributing to GDP growth. Employment also changes. AI and automation improve the nature of work and replace jobs. New fields of work, like data science, cybersecurity and software engineering, emerge. Increased demand for skilled professionals also cultivates improvements in education, paving the way for a future-ready workforce. System improvements also raise the competitive nature of

AI <b>cities</b> and their role in supporting the national economy

AI cities and their role in supporting the national economy AI cities also provide important economic resources, including efficiencies. A “smart” energy grid employs AI to reduce the distribution of services. Published: 03:05 PM,May 02,2026 | EDITED : 07:05 PM,May 02,2026 Cities are rapidly changing due to Artificial intelligence (AI) which is creating “AI-powered” cities or “smart” cities. These cities incorporate machine learning, data analytics and automation into the city’s infrastructure and public utility services. The benefit for city residents is improved efficiency and the benefit for national economies is exponential growth. AI cities are dependent on data. Sensors, monitors and internet-connected devices collect data on the daily consumption of energy, infrastructure safety and many event types of utilisation data. AI analyses the data and makes decisions that optimise the operation of these resources to reduce congestion and safely distribute resources. This AI provides the infrastructure and a national economy a safe and reliable way to become less expensive and more productive. AI cities also provide important economic resources, including efficiencies. A “smart” energy grid employs AI to reduce the distribution of services. This goal of the “smart” grid is to eliminate the loss of services and increase the affordability of services. In a “smart” water management system, savings of lost resources, of high value, provide for positive economic growth of the nation to be funded by other services. Of particular importance are the positive results provided to the community of healthcare and educational services. AI cities draw investment and foster innovation ecosystems. Digital infrastructure attracts technology companies, startups and research institutions. As innovation hubs develop, new products, services and business models are created. Startups, in turn, grow, scale and create jobs while raising exports and contributing to GDP growth. Employment also changes. AI and automation improve the nature of

Satellite IoT connectivity: extending the IoT into Earth orbit

Satellite IoT connectivity promises to lower the cost and extend the reach of wireless connectivity to the entire planet, enabling new global use cases and applications, writes Martin Lesund, Technical Product Manager – Cellular IoT, Nordic Semiconductor. The Internet of Things was originally conceived as an idea to resolve supply chain issues by having goods in transit and sensors automatically share data with each other. That idea snowballed into a grander objective to make the physical world of homes, factories and cities all smart by embedding sensing, networking, and computing into everyday objects, but the IoT has never lost its original links with supply chain management. In 2024, the supply chain IoT market was valued at $21.36 billion, and is expected to reach $55.58 billion by 2031[1]. This growth is being fuelled by the need to establish intelligent, interconnected supply chains that can enhance productivity and cost savings for the provider, as well as customer demand for transparency and traceability. Ultimately getting the right product to the right place, at the right time, in the right condition, at the right cost is non-negotiable, and that can only happen if it’s underpinned by failsafe IoT technology. Transforming supply chains Cellular IoT has become a major driver of transformation in supply chain management by bringing new levels of visibility, efficiency, and responsiveness to what was once a largely opaque process. Before cellular IoT, supply chains were often slow, fragmented, and heavily dependent on manual record-keeping. Companies tracked shipments with paper documents, phone calls, and periodic updates, which created significant blind spots. Documents moved with the goods themselves, meaning visibility only existed at certain checkpoints—such as when a container left a port or arrived at a warehouse. Cellular IoT has transformed this picture by bringing real-time visibility and continuous data flow into supply

Lite-On profit rises on surge in AI-driven cloud demand

Lite-On Technology reported first-quarter revenue of NT$43.4 billion (approx. US$1.35 billion), up 19% from a year earlier, as surging demand for AI infrastructure fueled rapid growth in its cloud-related... The article requires paid subscription. Subscribe Now

Agro Aversano, the Integrated Enhancement Programme

The Regional Council with Decision No 164 of 30 April 2026 has activated the Integrated Enhancement Program (Masterplan) the Agro aversano with area target the territories of the Municipalities of: Aversa, Carinaro, Casaluce, Casal di Principe, Casapesenna, Cesa, Frignano, Gricignano di Aversa, Lusciano, Orta di Atella, San Cipriano d’Aversa, San Marcellino, Sant’Arpino, Succivo, Teverola, Trentola Ducenta and Villa di Briano. To the area target An area may be integrated. buffer It will include all municipalities which have interactions with the target area and which are not already included in other territorial development strategies or programming instruments. The strategic lines identified for the development of this area are: - Enhancement of the morphological fabric of the historic city with the system of its public open spaces and of the emergencies of its architectural and archaeological historical heritage, as matrices of sustainable development; - Redevelopment of the transition areas of the polycentric network, aimed at the morphological redefinition of its margins and peri-urban edge areas; - Enhancement of the stratification of the territories and of the historical infrastructural structure, redefining the continuity of the open rural spaces and the hydraulic-agrarian grid arrangements for water regimentation and drainage with the relative shore and riparian strips of widespread naturalness, as an ordering element of the landscape, as well as a device for territorial rebalancing and restoring ecological connections; - Restoration of natural and modified ecosystems through the use of Nature-based Solutions aimed at promoting the sustainability of urban systems, the recovery of degraded ecosystems, the mitigation of climate change-induced effects, the improvement of risk management and the implementation of resilience; - Definition and implementation of an intermodal mobility network of railway, plant or aquatic infrastructures, collective, diversified, capillary and effective able to connect the widespread centralities and urban and territorial emergencies; - Redevelopment of

How new jobs are reshaping a generation in China

By continuing to browse our site you agree to our use of cookies, revised Privacy Policy and Terms of Use. You can change your cookie settings through your browser. File photo of the Hangzhou Future Sci-Tech City CBD. /VCG File photo of the Hangzhou Future Sci-Tech City CBD. /VCG Against the backdrop of global economic uncertainty, China's growth engine is shifting gears. The focus is moving from scale to sophistication, as technological innovation upgrades industries and creates a surge of emerging roles designed to tackle the challenges of the green transition and the digital era. We examine six representative emerging professions, including the drone swarm flight planner, "digital fishermen," robot trainer, twin city planner, offshore wind engineer and waste-to-energy engineer that are defining this transformation. From managing drone swarms to harnessing the power of the sea, these roles offer a glimpse into how China's industrial upgrading is creating structural opportunities and driving social change. The drone swarm flight planner Gone are the days when drones were merely toys or simple camera platforms. In the agricultural heartlands and smart cities of China, drone swarm flight plannersâ are the new air traffic controllers of the low-altitude economy. These specialists orchestrate dozens of autonomous aircraft simultaneously. Using sophisticated AI pathfinding algorithms, they plan complex logistics routes for deliveries, coordinate large-scale agricultural spraying and manage massive aerial light shows. The role requires a hybrid skill set of aerospace engineering and software coding. 04:23 From the skies above Chongqing, thousands of drones light up the night in dazzling displays. Behind the spectacle, a new generation of artists and engineers is redefining entertainment and showcasing China's growing technological and economic ambitions. In this story, we take a look at the work of a drone show flight planner. The 'digital fishermen' Aquaculture is undergoing a high-tech revolution.

Abu Dhabi <b>smart</b> cleaning fleet cuts carbon emissions by 40% with AI-powered vehicles

Over 500 smart vehicles transform waste management and cut CO₂ by 1,775 tonnes a year Abu Dhabi: Six months after the launch of the smart fleet to enhance public cleanliness services across the Emirate of Abu Dhabi, the Department of Municipalities and Transport (DMT) has announced significant improvements in service efficiency. The results are driven by the deployment of more than 500 advanced vehicles powered by artificial intelligence and comprehensive digital connectivity—reflecting the emirate’s commitment to innovative and sustainable solutions. Get updated faster and for FREE: Download the Gulf News app now - simply click here. The department stated that the fully integrated digital fleet, covering an operational area exceeding 36,000 square kilometres, is executing approximately 50,000 operations daily. Supported by real-time tracking systems, advanced operational data, and 360-degree smart cameras, the fleet has enhanced operational management efficiency and accelerated field response times. DMT further revealed that the smart fleet has led to a notable 40% reduction in carbon emissions, decreasing from 13,401 tonnes in 2024 to 9,537 tonnes in 2025—representing an annual reduction rate of 29%. This environmental impact is equivalent to the carbon absorption capacity of approximately 175,000 trees, reinforcing the emirate’s efforts to combat climate change and achieve environmental sustainability. In a related context, the department highlighted that the fleet’s resource management system has delivered advanced outcomes, with 94% of waste processed outside of landfills, full recycling of maintenance oils, and recovery of up to 22% of resource value. These achievements support circular economy principles and improve resource efficiency. DMT explained that the integration of smart technologies within the fleet has improved operational planning and enhanced proactive monitoring of waste and compliance violations. This has directly contributed to improving quality of life by reducing fuel consumption, accelerating response times, and achieving higher standards of cleanliness across streets

Altair Semiconductor Breaks Away from Sony to Drive Next-Gen 5G IoT and Physical AI Solutions

Altair Semiconductor Breaks Away from Sony to Drive Next-Gen 5G IoT and Physical AI Solutions May 01, 2026 News Headed by Pitango Group, and with the help of $50 million in initial funding, Altair Semiconductor has successfully transitioned to an independent company after breaking away from Sony Semiconductor Solutions Corporation. To show solidarity and trust, Sony will remain a shareholder with confidence in Altair’s long-term vision for connectivity that is powering the Physical AI transformation. “This is an exciting new chapter for Altair. As an independent company, we can move faster and respond more flexibly to rapidly changing market dynamics. We are fully committed to leading the industry’s transition from 4G to 5G IoT.” said Nohik Semel, CEO of Altair Semiconductor. The independence will allow Altair to focus on IoT and Physical AI, while maintaining and growing its proven technology as well as customer commitments. Per the press release, Altair’s chipsets power the largest share of the world’s cellular smart meters and leads the LTE-M market in smart cities, energy grids, logistics, vehicle asset trackers, and sports wearables. “Sony believes in Altair’s technology leadership and its critical role in the IoT ecosystem. Our continued support reflects our confidence in the team and their ability to deliver innovative connectivity solutions for the global market. Operating as a standalone company will drive innovation and enable faster execution.” said Antonio Avitabile, Managing Director, Corporate Alliances, Sony Semiconductor Solutions Europe, at Sony Group. For more information, visit altairsemi.com.

Emerson &amp; Aramco: Using AI to Improve Refining Efficiency

Emerson & Aramco: Using AI to Improve Refining Efficiency Emerson has introduced an advanced AI-powered optimisation solution for Aramco, one of the world’s leading integrated energy and chemicals companies, in a move designed to strengthen efficiency across global refining operations. At the core of the initiative is the integration of Emerson’s Aspen Hybrid Models into Aramco’s refinery planning systems, forming one of the most extensive multi-site, multi-period optimisation frameworks in the energy sector. By combining first-principles engineering models with industrial AI and deep operational expertise, the solution captures complex relationships in yield and product quality. This has enabled prediction accuracy of up to 98.5% in critical refinery units, supporting more reliable and data-driven decision-making across refining assets. Expanding AI in refining operations Aramco has deployed the hybrid models across Continuous Catalyst Regeneration (CCR) and Platformer Units, where they are enhancing feedstock blending strategies, tightening alignment between planning and execution and improving margin forecasting across its global refining portfolio. The company is now extending the approach to hydrocracker units, a step expected to further improve predictive accuracy while demonstrating how scalable AI-led optimisation can support increasingly complex energy systems. "This deployment represents a significant milestone in Aramco's AI strategy and our long-standing relationship with Emerson," says Ahmad Alkudmani, Director of the Global Optimiser Department at Aramco. "We are committed to leveraging innovative technologies for smarter, more efficient refining optimisation. With improved model accuracy, we are enhancing planning decisions, reducing manual adjustments and uncovering new value across our global assets." The implementation delivers measurable gains across refinery performance. High prediction accuracy is helping to increase yields and improve product quality across varied feedstocks, operating conditions and throughput levels. At the same time, optimised blending strategies are enabling more flexible feedstock selection, supporting both profitability and sustainability objectives. Improving efficiency across energy assets

With driverless cars a reality, what can <b>cities</b> do to prepare for them?

With driverless cars a reality, what can cities do to prepare for them? Speakers at the Google Cloud Next conference in Las Vegas last week said the shift from pilot programs to implementation has accelerated in the last year, and will keep doing so. Since it began in 2009 as “the secret Google Self-Driving Car Project,” Waymo has turned a pilot project into a viable product by scaling rider-only service across multiple cities, logging more than 200 million miles of fully autonomous, driverless operation on public roads as of Feb. 2026. Waymo has already expanded into airports such as Phoenix Sky Harbor and San Jose International and is logging miles in numerous major cities nationally, including Phoenix, San Francisco, Los Angeles and Austin, Texas. Expansion to Dallas, Houston, San Antonio, Chicago, Baltimore and other markets is now in the works, while volume currently surpasses 400,000 fully autonomous, paid rides weekly. And while safety continues to be a concern, programs such as the University of Michigan’s Connected Environment and Smart Intersections Project, which focus on creating reference architecture that cities can copy for performance measures, crash reduction and traffic signal priority, are enabling autonomous vehicles and human drivers to respond better. As a result, data from the first 127 million miles of operation recorded by Waymo shows a 10-fold reduction in crashes involving serious injuries and a 12-fold reduction in crashes involving pedestrians compared to human benchmarks. The technology that propels autonomous vehicles is no longer in question. Automated vehicles like Waymo clearly can drive a city block safely. It’s the reason why U.S. competitors such as Tesla and Amazon’s Zoox are beginning to scale their factories while international players are working to drive costs down in the wake of analyst concerns about profitability. Per unit costs of autonomous vehicles, after

Houston leaders say the East End is key to the <b>city's future</b>

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TRAI releases Consultation Paper on Regulatory Framework for Vehicle-to-Everything (V2X ...

It identifies Cellular-V2X (C-V2X) as the preferred technology, leveraging existing 4G and 5G networks. - V2X relies on two main wireless technologies: Dedicated Short-Range Communication (DSRC) and C-V2X. - DSRC uses Wi-Fi whereas C-V2X is a more comprehensive standard, leveraging cellular networks. About V2X Communication - V2X refers to a communication system where a vehicle exchanges real-time information (E.g. position, speed) with other vehicles, infrastructure, pedestrians, and networks using short-range and/ or direct communications. - It is a core component of Intelligent Transport Systems and connected mobility. Significance of V2X - Road Safety: Enables safety applications like collision avoidance, intersection management, and emergency vehicle warning systems, reducing accidents and fatalities. - SDG 3.6 aims to halve global road traffic deaths and injuries by 2030. - E.g. Forward Collision Warning System (USA) showed a 9% decrease in rate of forward collision conflicts. - Traffic Efficiency: Optimizes traffic flow and reduces congestion through smart signal coordination. - Autonomous Vehicle Support: Enhances decision-making for self-driving systems with external data inputs. - Environmental Benefits: Lowers fuel consumption and emissions contributing to UN SDGs. - 5G & Smart City Integration: Enables low-latency communication for connected urban mobility systems. Challenges of V2X |

Reduction in Water Use Needed | <b>City</b> of Draper

Reduction in Water Use Needed Due to ongoing severe drought conditions, the Jordan Valley Water Conservancy District (JVWCD) and its member agencies, including Draper City, have adopted a Level 2 water availability for communities across the region. This designation means all cities supplied by JVWCD must work together to achieve a 10% reduction in water use to help protect our shared water supply and prevent reservoir levels from dropping too low. What Residents Can Do To help meet this goal, the following guidance is now in place: - Do not water until May 15 – We are still experiencing periods of rain. Let nature do the work. - Watering after May 15 – Please check the Utah Division of Water Resources’ Weekly Lawn Watering Guide for customized recommendations for your area and lawn type. - Stop watering in September–October - As temperatures drop, outdoor watering is no longer necessary. These simple changes, when adopted across the community, can make a significant impact. Why It Matters Water is one of our most valuable resources, especially in a dry year like this. By making small adjustments now, we can help ensure there is enough water for homes, businesses, firefighting, and future needs. Long-Term Solutions For residents who are tired of maintaining high-water-use lawns, Draper City’s partnership with Utah Water Savers offers a landscape incentive program, subject to funding availability, to help you make changes that use less water and save money. Through the landscape incentive program, residents can receive up to $3 per square foot of lawn they replace with water-efficient landscaping. Landscaping project options include park strip, side yard, and full yard conversions. Draper residents are also eligible for a $1 per square foot incentive for switching to drip irrigation, and a $50 per tree incentive for adding trees. Additional incentives

China To Launch Robotic Cars By 2030

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