Harden Human Settlements for Climate Change

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Early Warning & Protection systems

The Intelligent Aid Climate (IAC) Program

By Robin E-H. Hoard, H&SCO – Climate

Table of Contents

Executive Summary: 2

1. Project Concept 2

2 . Mission, Objectives & Resources 2

A. Mission 2

B. Objectives 2

C. Resources 4

(i) Hadoop software 4

(ii) IoT 4

(iii). AI – ML 6

(iv) The Miyawaki Method & Modification 7

(v). NGO Community Partnerships 8

2. Major Divisions of the IAC System 9

A. Early Warning 9

B. Civilian Defense & Protection 10

C. Off-Site Support from H&S CO (first-party support) 11

(i) R&D 11

(ii) Deployment Desk 12

(iii) Information Clearing House 12

(iv) Customer Call Center & Support 12

3. Pedagogical features of this paper 13

Executive Summary:

1. Project Concept

The central concept of this project is the research and development of an early warning system linked to a civilian defense protection system. To be deployed to small cities, towns, and villages.

To assist at-risk communities that want to stay in place during climate and environmental changes taking place around them. This project is not about an international and nation-state system of networks for detecting early climate change warnings but for local defense only.

2 . Mission, Objectives & Resources

A. Mission

  • Develop a system that works today that other generations can build on tomorrow. To aid at-risk communities who want to stay in place with climate change taking place around them.

B. Objectives

  • The primary purpose of the IAC Platform model is twofold: One, to answer three basic questions about a changing local climate and environmental conditions taking place. This system can answer these questions: Is the climate and environment changing? What does it mean? And What can we do? In so doing, help set up settlement-wide preparedness plans; and, Two, back up community manager’s decisions with hard data for taking action for future trends and projections.
  • One of the overriding principles for this project is to lower the unit production cost, capital expenditure (CAPEX), and operating expenditure (OPEX) costs for end-users.
  • Using both open-source FOSS software in its design and circular economy thinking by using recycled personal computers this:
  • Low-carbon footprint.
  • Rugged, lightweight, modular, and scalable platforms.
  • The platforms will be suitable for bare base or remote field deployment with an add-on energy-sustainable power module (solar, wind, or water-powered).
  • Ease of deployment and operation by local communities with a limited technical background.
  • Aid in the establishing Local and regional-based tier one and two support.

C. Resources

Develop a project concept using scaled-down versions of three major technologies: Hadoop, IoT, AI–ML, and a modification of Dr. Akire Miyawaki’s

Method.

(i) Hadoop software

The Hadoop family of supporting software, together with Ubuntu (Linux operating system software), is used because of several advantages: an open-source framework that allows for the distributed storage and processing of large data sets across clusters of clusters computers using simple programming models. Hadoop is designed to scale from a single computer to thousands of clustered computers, each offering local computation and storage.

(a) Using Hadoop, we will substitute used and older laptops and personal computers for commodity computing hardware. One estimate of the number of used computers globally is six billion. As with our limited use of computer hardware, the amount of data used per Hadoop cluster per installation would be far lower than the present commercial uses of Hadoop systems. I our case deployed sensors.

(ii) IoT

The Internet of Things is commonly described as the network of physical objects embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet. These devices range from ordinary

household objects to sophisticated industrial tools.

(a) An explanation of both platform and system we hope to develop is to think of a large umbrella over a small city, town, or village, with sensor arrays both inside and outside the umbrella. Noting the weather patterns’ fluctuations and other sensors in near real-time, marry this sensor data to historical records for the area and region.

Now add three more layers of information to this mixture: What is the human settlement footprint on the land, waters, and environment? What is the benchmark as to their industry and demographics?

And how can targeted information be used to modify and shape both their footprint and benchmark to encourage the development of a robust micro-climate in and around the settlement as an active means of defense against climate change?

(b) In part one, our implementation of IoT is limited to sensor data systems: for air, soil, and water quality; sensors for air and soil moisture; weather sensors; agricultural and vegetation sensors feed directly into the deployed IAC platform.

(c) Part two, the second use of IoT, takes stored sensor feeds from the IAC platform and transmits them to an off-site for storage for later use. This will be covered in detail later.

(iii). AI – ML

Artificial Intelligence and Machine Learning are often characterized as the difference between AI and ML. To sum up, AI solves tasks requiring human intelligence, while ML is a subset of artificial intelligence that solves specific tasks by learning from data and making predictions. This means that all machine learning is AI, but not all AI is machine learning.

(a) Climate change will continue to add distortion to known seasonal weather patterns, with warmer oceans and more atmospheric moisture. This will distort historical growing seasons for fruit and vegetables and environmental home growing regions for crops. For example: if the Hard Red Spring Wheat growing season exceeds its temperature range, the crop harvest will fail.

If the IAC Platform has projections that will take place due to local sensor readings. Then, the IAC Platform can alert its off-site companion database to find a replacement wheat variety that can take the changing conditions.

(b) The primary use of AI and ML in this IAC Platform / System is task-oriented. In the IAC Platform, there is a limited form of AI to do the flowing work.

(1) to chart and make projections off of sensor data,

(2) that may trigger suggestions and,recommendations for a course of action.

(3) One course of action is to contact the IAC parent system for updated information in the form of a Targeted Information packet to be sent and downloaded by the ICA field Platform.

(iv) The Miyawaki Method & Modification

Climate change acts like ruff sandpaper on the world. Over the years, decades, and generations upon generations, it will wear away the fabric of nature and human civilization if left unchecked. Forming a hardened human settlement requires a robust and diverse set of micro-climates, comprising many forested habitats and environments

in and around the settlement, to act as a micro-climate shield and a series of windbreaks. One of our significant departures from the Miyawaki Method is its dependence on natural water sources over

time.

As mentioned above, climate change will continue to add distortion to known seasonal weather patterns and atmospheric moisture recharges of groundwater tables and aquifers. Here, we must look to novel forms of land use and water harvesting to develop a continuous water recharge of the Miyawaki forest cover for the settlement. By not doing this, the vegetation planted under the Miyawaki technique will go the way of the surrounding environment.

(v). NGO Community Partnerships

As a Business Development Team for the H&S.CO Climate and partnership strategy, non-governmental organizations (NGO) field personnel are very skilled and talented people who are keen observers. Repeated experience has taught them to look beyond

the surface of a problem to find the root cause of a crisis. These attributes are priceless and hard to duplicate on short notice.

We want to maintain their effort; instead, we want to use these observations and tips from their seasoned staff members in the field. They can help us find contacts that would value an environmental

monitoring system and use it for their community’s protection. This would allow the H&S CO Project to work through the existing NGO infrastructure of field personnel to reach communities in need in each of their NGO’s operating areas.

NGO staff would qualify and explain to community leaders the benefits of a locally owned and controlled climate, early environmental warning, and civilian defense system.

With NGO cooperation, we will train their staff on the advantages of open-source technologies and why it is essential to aid at-risk communities who want to stay in place in the face of climate change.

Many NGOs could use our systems to add climate change mitigation, adaptation or sustainability strategies to their current programs and extend their current development and relief work.

2. Major Divisions of the IAC System

The Intelligent Aide for Climate Change (IAC) encompasses three primary subsystems: Early Warning, Civilian Defense Protection, and Off-Site Support from H&S CO.

A. Early Warning

The EW Platform is connected directly to field sensor arrays in and around the human settlement to discover or identify changes in both the local environment and weather patterns over time.

With the help of a Hadoop system, Module One stores, charts, and develops the projection of changes that will be taking place.

Module Two uses projections for both the set and non-set changes in weather and environmental conditions.

Module Three tries to match the predictions with the types of weather, climate, and environmental conditions stored in Module Four, the digital library.

At this stage, EWS/IAC will provide suggestions for climate and environmental mitigation, adaptation, and sustainability strategies matched to the projections from the third module stage.

Module Four stores the digital library, downloads, and uploads targeted information packets to and from off-site support.

B. Civilian Defense & Protection

The Miyawaki forestry method can be used as a micro-climate shield for small cities, towns, or villages against climate change.

A micro-climate is a local set of atmospheric conditions that differ from those in the surrounding areas, often with a slight difference but sometimes with a substantial one.

The term may refer to areas as small as a few square meters or square feet or as large as many square kilometers (square miles).

Because the climate is statistical, which implies spatial and temporal variation of the mean values of the describing parameters within a region, there can occur and persist over time sets of statistically distinct conditions, that is, micro-climates.

As Rudolf Geiger, in his book, points out that climate influences the living plant, but the opposite effect of the interaction of plants on

their environment can also occur and is known as plant climate.

This effect has significant consequences for forests amid a continent; indeed, if forests were not creating their clouds and the water cycle with their efficient evaporate-transpiration activity, there would be no forest far away from coasts, as statistically, without any other influence, rainfall occurrence would decrease from the coast towards the inland (trees, with their canopies) the part comprising branches and leaves) block heat from reaching these surfaces.

Tree canopies can intercept up to 90% of the sunlight and the heat that comes with it. Some tree species with more expansive and density canopies, broader leaves, and more leaves are even more efficient. Add the cooling effect of transpiration and the blocking sunlight by the tree’s canopy; the temperature stays low.

C. Off-Site Support from H&S CO (first-party support)

(i) R&D

System prototyping, integration, testing, light manufacturing, turning R&D into useful technology products/goods or services.

(ii) Deployment Desk

Control current and new planned platforms, Business Development Team / NGO Community Partnerships: site surveys and deployed community involvement.

(iii) Information Clearing House

Off-Site backup for deployed platform system master digital library also holds copies of the original footprint, benchmark, site surveys, and all current and future projected weather states run by each

system, building targeted informational packets for each platform digital library for suggestions and recommendations based on each platform needs.

Use of AI to do deep mining of the internet for literature, technical resources that are open-source. Use ML to tag data for future use by

different states of future climate, weather, and environments.

(iv) Customer Call Center & Support

Call Center, Tier 1, 2, and 3 field support, use of telecommunications Public Switched Telephone Network (PSTN) Secure links for all connections.

3. Pedagogical features of this paper

• This project supports several principles in keeping with the nature of the subject.

• Citizen science is scientific research conducted, in whole or in part, by amateur scientists.

• Open Science: One definition of Open science is the movement to make scientific research and its dissemination accessible to all levels of an inquiring society, amateur or professional. Open science is transparent and accessible knowledge shared and developed through collaborative networks.

• Open Data: Open Data is the idea that some data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents, or other control mechanisms.

• Free and Open-Source Software: Free and open-source software is software that is both free software and open-source software where anyone is freely licensed to use, copy, study, and change the

software in any way, and the source code is openly shared so that people are encouraged to voluntarily improve the design of the software.

• In the civilian defense protection section of the Intelligent Aid Climate, specifications of steps in the Miyawaki Method are more detailed, owing to its widespread deployment over the last thirty plus years in eight countries, in forty-eight cities worldwide, on one-hundred-fifty plus sites with over five million trees.

• The steps on the Early Warning platform and subsystem in the IAC is listed in requirements only, not having the length of time to be in

existence, testing, or widespread deployment as the Miyawaki Method.

• The readership of this paper is intended to be international. Units of measurement are in metrics.