Subject
Manage natural resources in a sustainable way
Technological module
Database
Manage natural resources in a sustainable way
Database
Big Earth Data Science Engineering Project (CASEarth) SDG Working Group
The environment itself (flora and fauna, climate, etc.) and human beings (residents around the wetlands, fisheries, tourism, etc.).
Researchers and scientists
The dynamic monitoring of the water bodies in the Ramsar Sites can
directly or indirectly reflect the trend of changes and protection
effect of the wetland ecosystem (Zheng et al., 2012). At present, there
are 171 Contracting Parties to the Ramsar Convention on Wetlands
committed to wetland conservation and management. By May 2020, there
were 2 391 wetland reserves on the Ramsar Sites List, covering a land
area of 2.53Ă—106 km2.
The United Nations Water (UN-Water) has
provided datasets related to SDG 6.6.1, including surface water,
mangroves, reservoirs, and wetlands, based on the Global Surface Water
Explorer (Pekel et al., 2016) and Global Lakes and Wetlands Database
(Lehner and Doll, 2004) developed by the Joint Research Centre of the
European Commission (JRC). However, there is no direct and comprehensive
monitoring and evaluation of the ecological status of Ramsar Sites. The
dynamic change of the water bodies in Ramsar Sites has a direct impact
on the ecological environment of such reserves.
This case study selected 86 representative inland Ramsar sites and their corresponding 51 basins in Asia, Europe, and Africa. The overall trend of changes in the water bodies and the inter-annual trend of variation within a year was analyzed using the least square linear regression method, and the significance level of the changes was tested through double tail t-test (0.05). According to the time series water body datasets, the water bodies were further divided into three types: permanent water bodies, seasonal water bodies, and temporary water bodies; their change trends were extracted through wavelet transform and time series decomposition method. Seven typical Ramsar sites of varying degrees of change were further selected for analysis and assessment of water body changes.
Database
WIPO GREEN is an interactive marketplace and a network counting over 130 partners, among which are Amazon Web Services, Canon, CGIAR, Hitachi, IBM, and the United Nations Environment Programme. WIPO GREEN is operated by the World Intellectual Property Organization (WIPO), a United Nations agency assisting its 193 member states in developing a balanced international legal framework for intellectual property to meet the global community's evolving needs.
Companies, institutions, and non-governmental organizations looking for technology solutions to address specific environmental or climate change challenges.
Researchers and scientists in companies, institutions, and non-governmental organizations.
The need for access to a large number of sustainable natural change adaptation solutions (from prototypes to marketable products that can be sold, licensed, partnered or joint ventured).
The WIPO GREEN database categorizes green innovative technologies in
seven different groups: Clean energy, Pollution technology, Water
management solutions, Smart farming, Green transportation, Green
building, Sustainable products, materials and processes.
Take the water management program for example. The WIPO GREEN
database provides technologies for improved water resource management
including water treatment solutions, desalination systems, water
resources assessments, and coastal protection methods.
Marine advocacy group Oceana, Google, SkyTruth, WWF, The Nature Conservancy (TNC)
Society.
There is growing evidence linking IUU fishing with
migration, human and drugs trafficking, corruption and money laundering.
It is also known to have negative impacts on food security, job creation
and the development of coastal communities in general.
All stakeholders of global commercial fishing activity, including citizens, governments, fishery managers, scientists and members of the fishing industry itself.
Illegal, unreported and unregulated (IUU) fishing has been depleting the
world’s Fish populations for decades, despite concerted efforts from the
global community to put an end to the practice.
Like any exchange on the black market, illegal fishing is difficult to
monitor, analyse and tackle. And the most promising instrument in the
fight against the illegal activity seems to be big data, and the global
shipping fleet could potentially play a crucial role in helping monitor
hard-to-spot rogue activity at sea.
The platform tracks global fishing activity and analyses data from an
automatic identification system (AIS), which broadcasts a ship’s
identity, location, speed and direction. The AIS was initially designed
as a safety mechanism to avoid collisions at sea and is currently used
by 200,000 vessels around the world. With the help of a new algorithm
developed by Global Fishing Watch, a vessel’s likely fishing behaviour
can be detected in almost real-time.
Another initiative based around data compilation, which comes from
Project Eyes on the Seas, is a technology platform that unites satellite
monitoring and imagery data with fishing vessel databases and
oceanographic data to help authorities detect suspicious fishing
activity.
Charity: water
People in rural areas and rely on small water systems.
Local government and water bureau.
Historically, the only way for governments and NGOs to monitor rural water systems was to visit them. But reaching these locations takes time, human resources, and money. Given this reality, site visits occur only once or twice a year, meaning broken water systems can stay broken for months. If the system isn’t working, people immediately go back to drinking dirty water.
They developed a comprehensive remote monitoring tool using cutting-edge
IoT (Internet of Things) sensors and cloud computing technology to equip
local leaders with real-time data on water system performance. A
handpump sensor is used as the tool to monitor the wells from afar. The
handpump sensor lasts 10 years without a battery change, installs in 10
minutes, is fully tamper-proof and vandal resistant, and uses the Amazon
Web Services cloud computing platform to analyze readings in real time.
The sensor’s roaming agreement automatically covers over 200 countries.
Deployment began in 2015. Today, thousands of these sensors are
collecting data on our water projects. The sensors measure liters pumped
per hour and can immediately identify any fluctuation in productivity.
And if we observe a decrease in water flow—or a flow that stops
altogether—a technician can be deployed to help make repairs.
Main Carriers: WIPO GREEN (mantain database); Other Actors: Research Instituition and University (provide data), Tech company in Natrual-resoure-related industry (pay for the data), government (data and patent governance)
How can databases be used to help commercialize technologies for sustainable use of natural resources, balancing business interests and sustainable development?
I chose this project because I think it is needed and achievable by the
real world (there are similar success stories).
First of all, in the sustainable use of natural resources are mainly
faced with these problems.
Researchers and scientists in companies, institutions, and non-governmental organizations.
The WIPO Green Database is a free, solution-oriented global innovation directory that links the need to solve natural resource problems, the need to commercialize scientific research results and sustainable solutions. The database consists primarily of user-initiated uploads of needs and solutions, content imported by WIPO from selected partner organizations, and user information.
Some of the unique features already available in the database are: consistent AI-assisted auto-matching, user upload tracking and alerts, full-text search of solutions based on long requirement descriptions, and the Patent2Solution search function, a commercial application for finding patents.
Subsequently we expect to optimize the collaboration journey to make it more user-friendly. For example, a built-in association function in the database to facilitate searches; a site letter function on the website to facilitate efficient and secure communication; and increased promotion of successful cases of industry and institute collaboration to create a community atmosphere for positive collaboration.
With a database, data can be shared by multiple parties, reducing data redundancy, saving storage space, and avoiding incompatibility and inconsistency between data. Therefore, with the support of database, the cost of acquiring and processing information for users is reduced, while the autonomy and right to know are enhanced.