2016年-世界发展银行全球_Earth_Observation_for_Water_Resources_Management___Current_Use_and_Future_Opportunities_for_the_Water_Sector_267页_10mb

Summary of "Earth Observation for Water Resources Management: Current Use and Future Opportunities for the Water Sector"

Core Content

This document, published by the World Bank Group, provides an in-depth analysis of the role of Earth Observation (EO) in water resources management (WRM), focusing on current applications and future opportunities. It is structured into four main parts and aims to guide water sector professionals in leveraging EO data for better decision-making, monitoring, and planning.

Main Views and Key Information

Part I: Water and Earth Observations in the World Bank

• Overview: Highlights the World Bank's increasing recognition of the importance of EO in addressing water-related challenges.
• Key Global Water Challenges:
  • Water scarcity
  • Water quality
  • Impacts of global change
  • Extreme events (floods and droughts)
  • Conjunctive use of surface and groundwater
  • Food-water-energy nexus
  • Green growth and environmental sustainability
  • Financial and institutional issues
  • Transboundary water management
• The World Bank Group and Water:
  • Discusses the Bank's water policy, strategies, and portfolio.
  • Highlights the evolution of the Bank's approach to water management.
  • Notes the use of EO in both lending and analytical activities.
• The World Bank and Remote Sensing:
  • Describes internal and external initiatives related to remote sensing.
  • Provides examples of EO applications in World Bank water projects.
  • Includes a methodology for assessing EO use across water subsectors.

Part II: Earth Observation for Water Resources Management

• Overview: Introduces the concept of using EO for WRM and its potential.
• Chapter 5: Earth Observations and Water Issues:
  • Discusses how EO can be used to monitor and manage water issues.
  • Identifies relevant water topics and subtopics for EO application.
  • Provides an overview of the types of data obtained from EO.
• Chapter 6: Earth Observations for Monitoring Water Resources:
  • Details the data framework for WRM, including domain-characteristic elements.
  • Explains the types of data available from EO, such as precipitation, evapotranspiration, soil moisture, vegetation cover, groundwater, surface water, and snow.
• Chapter 7: Assessing the Characteristics of Required and Available EO Data:
  • Outlines a decision-making framework for using EO data in WRM.
  • Provides guiding questions to evaluate EO data suitability.
  • Screens field data requirements and EO product characteristics.
  • Lists accuracy parameters and examples of EO data application in different WRM areas.

Part III: Validation of Remote Sensing-Estimated Hydro-Meteorological Variables

• Overview: Focuses on the validation of EO-derived hydro-meteorological variables.
• Chapter 8: Challenges of Remote Sensing Validation:
  • Discusses the methodological challenges in validating EO data.
• Chapter 9: Validation of Remote Sensing Data:
  • Reviews the validation of key variables:
    • Precipitation
    • Evapotranspiration
    • Soil moisture
    • Snow cover and snow water equivalent
    • Surface water levels and streamflows
  • Includes a summary of scientific literature on satellite-derived products.
• Chapter 10: Validation of Streamflow Outputs Using Remote Sensing Inputs:
  • Compares streamflow simulations based on rainfall-runoff models and remotely sensed water levels.
  • Highlights the importance of validating these outputs to ensure accuracy.

Part IV: Concluding Remarks

• Water and Development:
  • Emphasizes the critical role of water in economic and social development.
  • Notes the need for modern tools to address complex water challenges.
• Potential of Remote Sensing:
  • EO offers broad coverage and time span, reducing the need for extensive fieldwork.
  • It can provide accurate, timely, and usable data, especially in developing countries.
• Challenges:
  • EO data has limitations in accuracy, resolution, and temporal coverage.
  • Integration with in situ data is necessary to enhance reliability.
• A Word of Caution:
  • EO data should not be used in isolation; it must be validated and cross-checked.
• Making Decisions:
  • The document provides a structured approach to using EO data in decision-making.
• A Word of Hope:
  • EO is a promising tool for improving WRM, especially when combined with other data sources.
• Downscaling to the Local Context:
  • EO data can be adapted to local needs through appropriate processing and analysis.
• Outlook:
  • The future of WRM lies in the integration of EO with field data and modeling techniques.

Key Data Needs for Good Water Management

• Key Data: Includes precipitation, evapotranspiration, soil moisture, vegetation cover, groundwater, surface water, snow, and water quality.
• Availability of Data: Highlights the need for improved data access and integration.
• Operational Hydrology Today: Discusses the current state of operational hydrology and the role of EO in supporting it.
• Future of Operational Hydrology: Emphasizes the importance of translating data into actionable information for effective WRM.

Appendices

• Appendix A: Examples of EO applications in World Bank projects, such as flood monitoring, drought assessment, and irrigation management.
• Appendix B: Examples of water information product generation systems, including:
  • Flood warning and monitoring systems
  • Soil moisture and drought monitoring systems
  • Irrigation water use and crop growth monitoring systems
  • Snow monitoring systems
  • Water resources monitoring systems
  • Water resources assessment and scenario studies

Conclusion

The document underscores the growing importance of Earth Observation in the water sector, especially in the context of the World Bank's efforts to improve water management in developing countries. It provides a comprehensive framework for understanding the role, benefits, and limitations of EO data, as well as practical guidelines for its use in WRM. By integrating EO with field data and modeling techniques, the World Bank aims to enhance the accuracy, reliability, and usability of water-related information, ultimately supporting better policy and project decisions.

Key Figures and Tables

• Table 2.1: Evolution of key principles in the Bank's water management.
• Table 5.1: Relationship between water issues and EO variables.
• Table 6.1: Characteristics of MODIS and Landsat TM data.
• Table 7.1: Major characteristics of EO data products.
• Table 7.2: Guiding questions for EO data requirements.
• Table 9.1-9.5: Correlation coefficients and error estimates for EO-derived variables.
• Figure ES.1: Summary of guidelines for using EO products.
• Figure 6.1-6.15: Visual representations of EO data types and their applications.
• Figure 7.1: Guidelines for determining EO product use.
• Figure III.1: Main sources of uncertainty in satellite-derived hydrologic variables.

This publication is a collaborative effort involving the World Bank, CSIRO, and the University of Arizona, and it draws on the expertise of over 40 project leaders and 20 international experts. It is intended to support water sector professionals in making informed, data-driven decisions.