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A framework design for the ChineseNational Disaster Reduction System ofSystems (CNDRSS)Deren Li a , Linglin Zeng a , Nengcheng Chen a , Jie Shan b c ,Liangming Liu b , Yida Fan d & Wei Li ba State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University, Wuhan, Chinab School of Remote Sensing and Information Engineering, WuhanUniversity, Wuhan, Chinac School of Civil Engineering, Purdue University, West Lafayette,IN, USAd National Commission for Disaster Reduction, Beijing, ChinaAccepted author version posted online: 11 Mar 2013.Version ofrecord first published: 12 Apr 2013.

To cite this article: Deren Li , Linglin Zeng , Nengcheng Chen , Jie Shan , Liangming Liu , Yida Fan& Wei Li (2013): A framework design for the Chinese National Disaster Reduction System of Systems(CNDRSS), International Journal of Digital Earth, DOI:10.1080/17538947.2013.783634

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A framework design for the Chinese National DisasterReduction System of Systems (CNDRSS)

Deren Lia, Linglin Zenga*, Nengcheng Chena, Jie Shanb,c, Liangming Liub,

Yida Fand and Wei Lib

aState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan, China; bSchool of Remote Sensing and Information Engineering,

Wuhan University, Wuhan, China; cSchool of Civil Engineering, Purdue University, WestLafayette, IN, USA; dNational Commission for Disaster Reduction, Beijing, China

(Received 10 February 2012; final version received 5 March 2013)

China is one of the most disaster-prone countries in the world. Currently,the disaster prevention and relief mechanism in China is mainly based on singledisaster types and is implemented by different ministries and divisions in singleadministrative regions. Subsequently, the available resources, including data,services, materials, and human resources, cannot be shared and used effectively.Based on the idea of an observation system of systems and a business system ofsystems, this paper presents an integrated framework for a Chinese NationalDisaster Reduction System of Systems (CNDRSS) to address this issue. TheCNDRSS framework aims to achieve data sharing and collaboration amongdifferent disaster-related ministries/institutions by providing one-stop services forall phases of disaster management and linking together existing and planneddisaster-related business systems and observation systems. The key technologiesuse federated databases and a web service to integrate multiple disaster manage-ment systems among different ministries/institutions and a sensor web to inte-grate airborne, space-borne, and in-situ observations through the web service.These event-driven focused-services connecting the various observations, proces-sing, and mapping processes can meet the requirements for complex disaster-chain systems.

Keywords: federated database; sensor web; information sharing; collaboration;focusing service

1. Introduction

In recent years, disasters have become more frequent and damaging around

the world, posing an increasing challenge for emergency services. Examples include

the tsunami in Indonesia in 2004 (Aitkenhead, Lumsdon, and Miller 2007), the

Wenchuan earthquake in China in 2008 (Li 2009), the 2010 Haiti earthquake (Duda

and Jones 2011; Van Aardt et al. 2011), and the flood in Thailand in 2011 (Kridskron

et al. 2012). How to respond to disasters such as these more quickly and more

effectively is a very important problem for scientists, disaster managers, and decision-

makers. In order to cope with such complex, large-scale disasters, earth observation

agencies, national geo-information agencies, transport ministries, public health and

*Corresponding author. Email: zenglinglin@whu.edu.cn

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other ministries/institutions must be able to react expeditiously not only on an

individual level, but in a highly coordinated manner with other agencies.

Accordingly, the need for both intra- and inter-organization coordination at

several hierarchical levels is essential (Auf der Heide 1989). Since the beginning of

the International Decade for Natural Disaster Reduction (Housner 1989; ADRC

2006), the international community has placed increased emphasis on disaster

reduction. The trend in disaster risk reduction is shifting conceptually away from

individual case-by-case emergency management toward a holistic approach

emphasizing disaster chains, collaboration, and integrated disaster reduction and

risk management.

With the rapid development of information technology and 3S technology

(Geographic Information Systems, Remote Sensing, and Global Positioning Systems),

many countries have built various disaster information systems supporting disaster

prevention and relief. Recently, the China Digital Earth Prototype System (Guo, Fan,

and Wang 2009), the Spatial Data Infrastructure (Craglia et al. 2008; Li, Shan, and

Gong 2009), open geospatial web services discovery (Li, Shan, and Gong 2009), the

Sensor Web Enablement (SWE) standards (De Longueville et al. 2010), and the virtual

globe (Butler 2006) have been realized and have achieved significant progress toward a

‘Digital Earth.’ However, it is an enormous challenge to create the means to connect

individual advanced technologies together and integrate mutually isolated disaster

information systems into a disaster-reduction system of systems (SoS) within a

cyber-physical environment.

China is experiencing more frequent and intense disasters that are both diverse in

nature and widely distributed geographically with heavy losses to life and property.

The statistical records (Zhou, Fan, and Yang 2010) show that, from 1989 to 2008,

natural disasters in China, on average, annually affected about 350 million people.

The annual direct economic loss during that period was more than 200 billion RMB.

In addition, over 70% of China’s cities and over 50% of its population at the present

time are located in regions where meteorological, geological, and oceanographic

risks are very high. Natural hazards are significantly amplified by urbanization,

population growth, global climate change, and economic globalization, all of which

heighten an area’s vulnerability. For example, because of rapid urbanization, more

people and property are threatened by flooding; and by the end of the twenty-first

century, 536 of China’s 668 cities will be at risk (Gao et al. 2007). The large reservoirs

built in the last century for preventing drought have created significant flooding risks

to the areas around them; droughts in northern China are becoming ever more

frequent and severe with climate change; and the overuse of water resources and

deforestation are decreasing the ability of soil to store water (Gao et al. 2007).

Disasters threaten economic development and the livelihood of citizens so conduct-

ing high-efficiency disaster prevention and relief is therefore an urgent task facing the

Government of China (Konecny 2011). Among the problems facing disaster-

reduction efforts in China are the following:

(1) Data and information cannot be shared or sufficiently integrated. A salient

problem in current disaster prevention and relief is ‘rich in data, barren of

information, with lack of knowledge’ (Li, Shan, and Gong 2009).

Some systems have become ‘isolated information islands.’ Especially, the

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information from a stricken area cannot be transmitted effectively to disaster

mitigation headquarters.

(2) Collaboration among different ministries/institutions is insufficient. The

occurrence of one disaster usually precipitates multiple disasters and requiresjoint efforts and cooperation between various ministries.

Building an SoS is a solution to tackle these problems. DeLaurentis (2007) stated

that an SoS consists of multiple, heterogeneous, distributed, and occasionally

independently operating systems embedded in networks at multiple levels that

evolve over time. An SoS is evolutionary, geographically distributed, and integrated

in a federated form. It is a dynamic system composed of other independently

managed systems (Maier 1988; Liu 2011; Mostafavi et al. 2011). The proposed

CNDRSS will seamlessly integrate existing disaster-related systems to provide an

information platform for observation integration, data sharing, and collaboration to

implement a ‘one-stop service’ in all phases of disaster management. The objective of

CNDRSS is to organically integrate the ministries as well as the disaster-related

resources (e.g. sensors, data, and professional disaster information systems) of

multiple ministries in order to ensure that observation acquisition and data sharing

are possible and that the functions are interoperable among different ministries

horizontally, with full transparency and interoperability at all levels of the same

ministry vertically. Through this platform, various ministries can collaborate with

each other to mitigate disasters. Just like the human vascular system is connected so

that nutrients can reach all parts of the body, these organizations can harmoniously

work together to function at a high level of disaster response.

The purpose of this paper is to present the framework for a CNDRSS, including

design considerations, organization, mechanism, architecture, and components. This

paper will also analyze the key technologies needed to build such a CNDRSS. We

will build a common infrastructure for CNDRSS, including a register center and a

search engine connected to a web portal as well as distributed resources via a service-

oriented architecture (SOA) (Perrey and Lycett 2003), so that the registered resources

can be discovered and accessed through the web portal. Additionally, some useful

tools (e.g. workflow management and online risk communication systems for various

ministries) will be provided.The remainder of this paper is organized as follows. Related work is described

in Section 2. The architecture and components of the CNDRSS are presented in

Section 3 as well as the interactions among the components of CNDRSS, based on

an analysis of the requirements and design considerations. Section 4 outlines the key

technologies needed: registration for and query of the resources, use of the sensor

web to integrate ground, airborne, and space-borne sensors, the federated database,

and the event-driven focusing service. Section 5 summarizes the conclusions and

outlines further work.

2. Progress in building an SoS concerning the environment and disasters

In this section, we briefly present the progress in building an SoS for monitoring,

collecting, and sharing environmental and disaster data, as well as outlining the

standards for geographic services and sensor webs.

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2.1. Integrated systems

Currently, many multinational and national integrated information platforms for

disaster monitoring and risk reduction have been built or will be built in a federal

style.

The Group on Earth Observations led the establishment of the Global Earth

Observation System of Systems (GEOSS) (http://www.earthobservations.org). This

SoS aims to proactively link together existing and planned observing systems around

the world. It is intended to support the development of new systems that will fill the

gaps that currently exist and, through a portal, will provide an Internet access point

for users seeking data, imagery, and analytical software packages relevant to all parts

of the globe. The initial construction of GEOSS is complete at this time; and by

2015, the GEOSS expects to achieve sustained operation, continuity, and interoper-

ability of the existing and new systems that provide essential environmental observa-

tions and information. This cross-cutting approach avoids unnecessary duplication,

encourages synergies between systems, and ensures substantial economic, societal,

and environmental benefits (GEOSS Website).

The Global Monitoring for Environment and Security (GMES) (http://coperni-

cus.eu/) system is the European contribution to GEOSS. GMES is a joint initiative of

the European Commission and the European Space Agency, which was adopted

by the European Union leaders at the Gothenburg Summit in 2001. Over the last

10 years, numerous research and development projects have contributed to the

expansion of the GMES infrastructure and services. GMES builds upon four pillars:

the space component, (satellites and associated ground segment), in-situ measure-

ments (ground-based and airborne data-gathering networks), data harmonization

and standardization, and services to users (Ehlers 2008).

The Earth Observing System Clearinghouse (ECHO), developed by the US

National Aeronautics and Space Admnistration (NASA), is an operational open

system based on Extensible Markup Language (XML); and Web Service technol-

ogies is a spatial and temporal metadata registry and order broker built by NASA’s

Earth Science Data and Information System (http://www.echo.nasa.gov/). It enables

the scientific community to more easily use and exchange NASA’s data and services.

ECHO acts as middleware between data partners and client partners, which provides

an SOA environment for the Earth Observing (EO) community. Currently, ECHO

has 12 data centers (Bai et al. 2007). ECHO, in essence, is a federated database

system, focusing on sharing data and services, with little attention to sensor webs

or integration with a wide variety of sensor systems to provide real-time or near

real-time Sensor Web services.The German Government established a crisis prevention information system

(deNIS) to provide critical spatial risk information. Assisted by the Federal

Government and the Lander (German States), it brings together dispersed informa-

tion in a geographic information system to generate an interactive map with multiple

functions (http://www.denis.bund.de/). Essentially, deNIS is a geographic information

system.In Japan, the National Land Agency, which is in charge of disaster prevention

administration, developed an integrated emergency management system called the

Disaster Information System (DIS). It is a means for quickly determining the

extent of damage, thereby enabling the related agencies and authorities to share

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information. DIS supports quick and accurate decision-making when implementing

emergency measures (Miyatake and Nunomura 2003).

At present, in China, a number of national integrated basic database systems and

comprehensive disaster-related application systems have been established or areunder construction, such as the National Natural Resources and Geospatial Basic

Information Database, the National Geo-information Public Service Platform, the

National Emergency Response Platform systems (at the national, ministerial, and

provincial levels), and 12 integrated operational observation systems. The 12

integrated operational and professional observation systems are operated by 12

different professional ministries/organizations in China, which include the Compre-

hensive Information on Disaster and Observation System (operated by the Ministry

of Civil Affairs), the Integrated Agricultural Observation System (operated by theMinistry of Agriculture), the Integrated Hydrological Monitoring System (operated

by the Ministry of Water Resources), and the Integrated Meteorological Monitoring

Systems (operated by the China Meteorological Administration) (NCDR 2009).

However, these databases and systems are independently operated and currently

there are no effective and sufficient connections among them.

2.2. Standards of federated database and interoperability

The International Standardization Organization (ISO) and the Open GIS Con-

sortium (OGC) have been leading efforts to create heterogeneous data sharing

and interoperability standards by developing and releasing a series of standard

specifications.

OGC is a not-for-profit organization with more than 210 members. OGCs goal is

the ubiquitous access and use of spatial data and spatial processing in an open

marketplace (http://www.opengis.org/techno). OGC has been developing, releasing,

and promoting a series of common web service architectures and standards forgeospatial information interchange and interoperation through its standards

program, interoperability program, compliance program, and marketing and

communications program. For data services, the most universal OGC protocols

for data access are the Web Map Service (de la Beaujardiere 2006), Web Feature

Services (Vretanos 2002), and Web Coverage Services (Lee et al. 2005). The

Geospatial Catalog Service Web (CSW) profile (Nebert, Whiteside, and Vretanos

2007) was designed to provide capabilities for advertising and discovering shared

geospatial data and services over the web through the registration of both data andservices in a catalog.

ISO-TC211 has published the ISO191XX standards in order to routinize the

management of geographic information. Currently, there are 43 projects deployed

under the supervision of ISO-TC211 (http://www.iso.org/iso/home.html). These

standards may specify geospatial information, methods, tools, and services for

data management, acquisition, processing, analyzing, accessing, presenting, and

transferring such data in digital/electronic form between different users, systems, and

locations (Ostensen and Smits 2002). In the early stages, ISO-TC211’s effortsconcentrated mainly on developing international standards for feature-based

geographic information. In 1997, ISO-TC211 started to work on the imagery and

gridded data areas through Project 19121, Imagery and Grid Data (Di, Kresse,

and Kobler 2001).

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2.3. Experiment and practice of geospatial Sensor Web

Currently, the OGC’s SWE standards enable developers to make various types of

sensors, transducers, and sensor data repositories discoverable, accessible, and usable

via the web (Botts and Robin 2007). In the SWE framework, there are four

information models (sensor model language (SensorML); observation and measure-

ments (O&M); transducer markup language; and event pattern markup language)

and five service implementation specifications (sensor planning service, sensor

observation service, sensor alert service, sensor event service, and web notification

service) (Chen et al. 2011).

Using a web portal integrated with Sensor Web 2.0 (Mandl et al. 2008), a user can

trigger workflows that search for available sensors and then direct their actions as the

following disaster scenario demonstrates (Figure 1). A fire-behavior analyst selects

wildfires in southern California as the area of interest. NASA’s space-based

Moderate Resolution Imaging Spectroradiometer (MODIS) data are retrieved for

its earth surface observations. For the fire locations detected by MODIS, observation

conditions are obtained by the Acquisition Functional Working Group. Then, the

Earth Observing 1 (EO-1) satellite Hyperion instrument is automatically triggered to

take a higher resolution multispectral image. Automatic triggers also cause an

unmanned aerial system to collect more detailed fire imagery. The user receives

notifications via instant message, short message service, or other notification services

(such as Twitter) when fires are detected in the area of interest and/or when high

resolution fire maps derived from one of these sensors are available (Mandl et al.

2008). As a result, the fire analyst can focus specifically on the resulting detailed fire

Figure 1. Sensor Web 2.0 for wildfire scenario (Cited from OWS-6).

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map and how to deploy needed resources rather than orchestrating the plethora of

available sensors (Mandl et al. 2008).

The interoperable Sensor Web consists of an architecture that specifies a set

of standards to be used by sensors to integrate into the ‘Internet’ of sensors (see

Figure 2). In this architecture, sensors are encapsulated as sensor data nodes that cancontain self-describing documents using SensorML. The descriptions may include

determining location as well as defining the resolution, spectral bands, and swath

and how to task the sensor. Data-processing algorithms are encapsulated as data-

processing nodes with SensorML or similar Web-accessible documents that describe

what the algorithms do. These descriptions may include inputs, outputs, methods

employed by the algorithm, and how to invoke the algorithm for user data. These

Web-accessible documents are created so that information about the sensors

and algorithms can be discovered over the Internet through CSW and provideinformation on how to access the sensors and algorithms. The user can then assemble

sensor data and selected algorithms into a customized workflow or service chain in

an automated fashion, which includes automatic electronic delivery of data products

to the user’s computer desktop, thus enabling on-demand science products. With a

Sensor Web, automated workflows and reasoning functions bring together all the

required resources into a single functional flow (Mandl et al. 2008).

3. Framework of CNDRSS

3.1. Design considerations

China is a country of large land mass and population. Disasters in China are

characteristically diverse, frequent, and widely distributed with heavy losses. The

Figure 2. Reference architecture for an interoperable sensor Web (Cited from OWS-5).

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disaster-related ministries in China are divided according to professions and regions.

They are hierarchical, and different ministries at different levels in different regions

take corresponding responsibilities for their areas. As a result, the disaster manage-

ment and reduction mechanisms are based on single disaster types and conducted by

different ministries and divisions within single administrative regions. To solve these

existing problems, we must change from this individual case-by-case emergency

management approach toward a holistic approach that includes the seamless

collaboration of a federated database and disaster-chain analysis with the goal of

integrated disaster reduction and risk management. Specifically, we are facing the

following tasks (see Figure 3):

(1) There must be full and open exchange of data, services, and other resources

within the CNDRSS, while recognizing relevant national policies and

legislation.

(2) Effective mechanisms and platform for various ministries to work together

against disasters must be provided that will interoperate online and share

both data and services when communicating and coordinating with each

other.(3) In emergencies, disaster information collected by local branch offices of

national governmental organizations must be rapidly delivered to their

Figure 3. The task of CNDRSS.

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respective upper-level organizations where the information will be integrated

as an aid for decision-making.

(4) Various sensors must be integrated to provide Sensor Web services, especially

for real-time or near real-time use.

To fulfill these tasks, CNDRSS must be geographically distributed, interoperable,

independent, and flexible.

(1) Geographic Distribution: Due to the objective characteristics of spatial data,

which can include spatial distribution and application dissimilarity, data

collection and management are usually conducted and maintained by differ-

ent ministries/organizations in different regions. CNDRSS aims to integratethese systems through interoperability and telecommunication. As a result, its

geographic extent is large.

(2) Interoperability: CNDRSS will integrate resources through the Web service

by adhering to published interface standards so that the component systems

can interoperate and work together. Users can transparently search and

access the information and service from the contributors of CNDRSS.

(3) Independence: If CNDRSS is disassembled into its components, essentially

independent and useful in their own right, the component systems must beable to operate independently. The component systems must maintain a

continuing operational existence independent of CNDRSS.

(4) Flexibility: The architecture of CNDRSS will be loosely coupled based on the

SOA. This makes the service independent of the development language,

machine, and platform. In addition, CNDRSS is not fully formed; and its

development and existence is evolutionary with functions and purposes

added, removed, and modified with experience gained so that new systems

can be integrated by registering and providing standard interface protocols.In addition, in terms of standards, CNDRSS is flexible: CNDRSS is

continuously developing uniform standards, such as interface standards,

data formats, naming, etc., to which its components must adhere. In addition,

according to the needs and conventions of different industries, standards and

norms for a specified industry can be developed, registered, and followed.

3.2. Organization and mechanism

The National Commission for Disaster Reduction (NCDR) is an inter-ministerial

coordination body under the leadership of the State Council. The main task of

NCDR is to study the development of national disaster-reduction principles, policies,

and plans. It coordinates the launch of major disaster-reduction activities, guides

local disaster mitigation work, and promotes international exchanges and coopera-

tion for disaster reduction (http://www.jianzai.gov.cn). NCDR includes 34 disaster-

related member units, including governmental ministries, military, scientific research

departments, and non-governmental organizations. NCDR is responsible forconstructing and managing CNDRSS and will coordinate its member units and

other related institutions with the full support and cooperation of those units.

To guarantee the successful operation of CNDRSS, NCDR will lead its

member unites and relevant experts/institutions to develop relevant standards or

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specifications for data, interfaces, services, etc. as well as mechanism for collabora-

tion, management, operations and maintenance, communication, and cooperation.

CNDRSS’s design, construction, operation, and management will be guided by these

standards and mechanisms.

3.3. Architecture and components

To achieve the above objectives, there are three layers in the CNDRSS architecture:

the Application Layer, the Business Layer, and the Data Layer (see Figure 4).

The Application Layer will be the presentation layer for user clients. Its mainfunction will be to obtain user requests through the Web portal and then transfer the

requests to the Business Layer. When the responses to requests are received, the

results will be presented in a visual frame to the user clients in the form of XML

documents, statistical tables and graphs, images, URLs, etc.

The Business Layer will deal with the requests from the Application Layer. The

CNDRSS Common Infrastructure (CCI) will support it. CCI will be connected to

both the Application Layer and the Resource Layer and will work as a switch center.

CCI will provide a catalog service, which will enable discovery and access of

Figure 4. Architecture of CNDRSS.

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registered resources on CNDRSS, thereby providing a well-documented interface for

the corresponding resources.

The Resource Layer will be the basis of CNDRSS. The resources include

databases, sensors, functional components, standards and practices, computing

resources, workflow templates, etc.

3.3.1. Web portal

The CNDRSS Web portal, the primary user interface, aims to allow the user clients

to search, discover, and access all CNDRSS resources through a single user interface.

Tools will be provided in this layer, such as a visualization system, risk communica-

tion system, data pre-processing system, and data order and dissemination system.

An important feature of the proposed scheme, the event-driven focusing service, will

provide an approach for designing, implementing, and constructing a flexible and

live link among specified resources for different event scenarios. Users will be able to

search and customize workflow templates through the user portal.

The user group of the proposed CNDRSS is basically divided into two parts:

(1) public individuals/organizations and (2) government members. They will have

different grades of authority to access different resources or services. The public

users will be able to access public services and the resources of CNDRSS members

(e.g. real-time disaster risk maps, disaster relief plans, and implementation). In

addition, the government members will be users as well as resource providers (e.g.

professional companies, research institutions) and will be invited to take part in

CNDRSS. The governmental users will mainly include the member units of NCDR.

3.3.2. CCI

Using the design concept of GEOSS for reference (Christian 2008), CCI will consist

of registries of resources and a clearinghouse (Christian 2008, GEOSS Website) for

searching resources. The registry will archive all the resource metadata as the

generalized description information for the provided resources. The standardized

search center (CNDRSS Clearinghouse) will provide for standardized searches

across the registered items and catalog services; and the clearinghouse will be used to

manage the metadata descriptions for resources in the network to provide a detailed

inventory of all registered resources. In addition, as CNDRSS aims to bring various

types of resources together, CCI will require integration of the catalogs for various

types of resources into a catalog federation for user clients to discover and access

relevant resources from a single user interface.

3.3.3. Resource provider

To achieve more efficient and effective disaster-reduction, CNDRSS will bring

together disaster-related ministries/organizations (the resource providers) and

provide the necessary resources to build a platform for sharing and collaboration.

All the resources will be independent of each other as well as CNDRSS, with no

interference from other systems or organizations.

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3.4. Interaction

CNDRSS will be designed in accordance with the SOA standard. The challenge will

be combining the frameworks so that each layer is exposed to each other layer in a

loosely coupled manner, regardless of the underlying technologies, so that the three

layers of the architecture can communicate and interact with each other through

relevant standards and protocols (see Figure 5).

3.4.1. Interactions between user clients and CCI

When the user clients pose requests through the user portal, the requests will be

transferred to the CCI, and CCI will respond. The CCI Clearinghouse will search the

registry to retrieve the relevant registry items and transform the request, and, finally,

then dispatch the transformed request to a corresponding resources center.

3.4.2. Interactions between CCI and resource provider

CCI will be responsible for comprehensive resource management. All the resources

of CNDRSS will be required to be registered in the registry of CCI, and the metadata

of the corresponding resources will be archived to facilitate the discovery and search of

the resources. Managing the metadata catalog will require synchronizing files with theregistered resources; therefore, once the registered resources are updated or deleted,

the corresponding metadata will be renovated or deleted synchronously.

In addition, once CCI receives requests from the Web portal, the clearinghouse

will transform and transfer the requests to the resource providers and bind the

corresponding resources with the requesting users, all of which will be completely

invisible to the user clients so that they will not feel the distribution of resources and

complexity of the process.

3.4.3. Interactions between user clients and resource providers

Resource providers will be bonded with the client terminal after the discovery of

resources from CCI through the web portal, and then the resource providers will

directly provide services to the user clients.

Figure 5. Interaction among CCI, user clients and resource provider.

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4. Key technologies

In order to integrate the distributed resources among which resource sharing and

interoperability can be achieved, various standards and protocols need to be

provided. The key technologies concern the registration for and query of resources,

the building of the sensor web and the federated database, their integration with

CNDRSS, and the implementation of the event-driven focusing service.

4.1. Registration for and query of resources

Resource registration and inquiry will be the core functions of CCI, which will

integrate the distributed resources in a loosely coupled manner through the

registration and catalog services. The Geospatial metadata catalog service based

on the ebXML Registry Information Model (ebRIM) specifies the interfaces,

bindings, and framework for defining application profiles and can be adopted by

CNDRSS to facilitate the discovery of, and access to, the resources of CNDRSS

(Nebert et al. 2007). Specifically, CNDRSS faces the following challenges:

(1) Practically, many metadata models need to be available: to meet specific

industry needs and respond to the variety of resources, many metadata

schemas, instead of one-size-fit-all metadata standard, can be used in

developing a metadata database for so many types of resources for different

application domains. The resources can be technically, functionally, syntacti-

cally, and structurally heterogeneous.

(2) CNDRSS has to provide a convenient interface for easy submission and

registration of various resources, as well as a homogeneous, single userinterface to enable users to pose queries of various integrated resources.

(3) CNDRSS must be able to match a user request with appropriate resources

using relevant metadata.

To tackle these problems, the strategy is to provide global schema (Effelsberg and

Mannino 1984) of metadata catalogs for various kinds of resources, all of which can

be searched and traced by the descriptive information for resources contained in the

metadata. The distributed resources will be linked together, and the distribution andheterogeneity of the various resources registered in CNDRSS will be shielded.

4.2. Use of Sensor Web to integrate ground-air-space-borne sensors

NASA defines the sensor web as ‘a coordinated observation infrastructure composed

of distributed resources that can behave as a single, autonomous, task-able, reconfi-

gurable observing system that provides observed and derived data along with the

associated metadata by using a set of standards-based service-oriented interfaces’

(Delin and Jackson 1999, 2001; Delin 2002).As shown in Figure 6, CNDRSS also will be a system of sensor systems (Van Zyl,

Simonis, and McFerren 2009) that integrates heterogeneous sensors, both in-situ and

remote-sensing devices, as well as stationary sensors or those attached to mobile

platforms, forming a space-air-ground observation web (Craglia et al. 2012) providing

access to sensors, sensor networks, and corresponding observational data-sets.

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The 12 integrated operational and professional observing systems primarily will

be integrated by CNDRSS. Most of them have their own disaster monitoring

network and operational systems. Some sensor systems are or will be under

construction and include the following: (1) various satellite sensors, such as the

FY serials meteorological satellites, the China�Brazil Earth Resource Satellite, the

Environment and the Disaster Monitoring Small Satellite Constellation (HJ) (there

is a ‘2�1’ Satellite Constellation currently, and a ‘4�4’ Satellite Constellation will

be available in three to five years), and remote sensing serial satellites; (2) aircraft

sensors (e.g. unmanned aerial vehicles) with which many ministries in various regions

are equipped; (3) in-situ sensor systems operated by different systems; and

(4) terminal equipment network. The system will be compatible with existing

satellite navigation systems, like Beidou Second Generation, GPS, etc. and aims to

conduct timely discovery of potential disasters before disaster strikes, rapidly collect

on-site disaster information after disasters, and provide effective communications

security for the grassroots members of disaster reporters, disaster relief volunteers,

and social workers.

As shown in Figure 7, in accordance with the requests of the users, corresponding

diverse sensor observation services can be registered in the registry center in the

CCI, scheduled by the data and sensor planning service, and discovered through the

CCI clearinghouse (Chen et al. 2009). This sensor system of systems can respond

to the requests from CCI to provide real-time or near real-time data services by

determining what sensors will be in the required place at the appropriate time and

Figure 6. The concept map of Sensor Web.

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invoke these sensors to obtain the required data. Additionally, the sensor web is

a main resource for CNDRSS real-time data-updating.

4.3. Federated database

To strengthen data-sharing among various ministries/organizations and to maintain

local data-collection, data maintenance, and autonomy, CNDRSS plans to integrate

these distributed databases by building a heterogeneous distributed and federated

database management system (HDF-DBMS) (Cardenas 1987; Sheth and Larson

1990). In reality, the data may reside in one single database or in physically-separated

databases, managed individually by the same type of DBMS or by different DBMSs

(Cardenas 1987). This federated database system (FDBS) is a collection of cooperat-

ing but autonomous component database systems characterized by distribution,

heterogeneity, and autonomy (Sheth and Larson 1990).

Currently, a number of databases exist in different ministries and regions in

China. In addition, two integrated database systems are under construction:

(1) The National Natural Resource and Geospatial Basic Information Database

(NNRGBID). It includes one data center and 11 physically distributed data sub-

centers: mineral resources, water resources, resources and environmental science,

marine and ocean satellites, mapping, forestry resources, satellite remote sensing,

meteorology and meteorological satellites, resource satellites, military mapping, and

military space resources. The data center was built by the National Development and

Reform Commission and the subcenters are constructed and maintained by the

relevant ministries. (2) The National Geographic Information Service Platform,

which is based on the multiscale national basic geographic information database and

has one master node, 31 partial nodes, and 333 information bases.

As shown in Figure 8, the construction of the whole database system for

CNDRSS involves constructing (1) the FDBS central server that archives the

centralized spatial and temporal metadata of the data in a distributed database. The

central server is part of CCI, through which users are provided a central access path

to keep track of the vast data collection from CNDRSS. (2) The sub-servers that are

connected with a central server and a response to the central server, which includes

Figure 7. Integration between CCI and Sensor Web.

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the provincial level, ministerial level, and in-situ level. When data in affiliated

databases change, the sub-servers will send the updated data to the central server

to make relevant modifications. In terms of content, it will include all levels of

databases, including the information database and the catalog database. The

information database mainly includes the standard specification database, disaster

hazard database, disaster-prone environment database, disaster bearing body

database, disaster-reduction resources database, disaster-reduction ability database,

information exchange database, and disaster-reduction products database.

Data collection and management of such a federated database will be conducted

by the appropriate corresponding ministries/institutions. Depending on the data

timeliness, the CNDRSS data fall into either the static data or dynamic data

categories. Static data are input on a one-time basis into the database and are

updated occasionally and regularly, such as the nationwide administrative map, the

population distribution map, and contact information for relief organizations.

Dynamic data, most of which are local data, will be updated in real-time periodically,

for instance, real-time weather data, the river flow, and the disaster risk map.

4.4. Event-driven focusins service

CNDRSS will serve as a steward of a set of related resources. Ministries collect and

document data and information to conduct normal disaster monitoring and release

disaster information to the public. During an emergency response, a tremendous

amount of information is needed and information and services at different levels are

required. This information is often scattered, though, in various ministries/

organizations and exists at different stages of development. A means to quickly

Figure 8. The framework of federated database.

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and effectively collect the needed information and obtaining integrated information

is essential. The application layer of CNDRSS will provide an event-driven focusing

service oriented to the disaster chain and disaster-reduction process.The focusing service (Yang et al. 2010), a kind of tailored service, has two aspects.

The first aspect focuses on the required information by automatic filtration and

classification, while the other focuses on the service objects: the disaster-chain and

the disaster-reduction process. As shown in Figure 9, CNDRSS will automatically

and sequentially bring the disaster-related ministries and the resources from

corresponding ministries together through relevant templates for the workflow, the

collection of the resources, and the composition of the services. Templates will not

only be registered and constantly improved and updated as resources in CCI, butalso will be customized and generated through the Application Layer.

5. Conclusion and outlook

Building a CNDRSS is a long-term process. It will occur in two stages. In the first

stage, in five years, demonstration applications will be carried out in five to

10 selected provinces, involving at least 200,000 disaster reporters covering thesedemonstration provinces and 12 ministries in charge of the 12 integrated observing

systems. In the second stage, in another five years, the aim is to cover all provinces as

well as all disaster-related ministries in China with at least 720,000 disaster reporters

all over China.

Figure 9. Focusing service flow program.

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This paper proposes a total scheme of CNDRSS from the macro level, including

the framework and the key technologies, in the hope that it will provide valuable

reference to the government. CNDRSS is a massive project, however, and there are a

lot of difficulties to overcome in many aspects of it.

(1) Ensuring efficient, stable, and secure data transmission given the chaoticnature of disasters when infrastructure is destroyed.

(2) Providing efficient collaborative working mechanisms concerning certain

laws or policies. CNDRSS involves numerous ministries/ institutions and

individuals. The challenge is to make them work together effectively, and the

level of cooperation will determine CNDRSS’s effectiveness.

(3) Providing a universal metadata model to hide the complexity and diversity of

integrated databases and systems.

Solutions for all these problems will be the focus of future research and

implementation.

Acknowledgments

This work was supported in part by the National Basic Research Program of China (973Program) under Grant 2012CB719904. We sincerely thank Mr. Steve McClure for honing thelanguage and the anonymous reviewers for their valuable comments and insightful input.

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