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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia
To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced.
Geo-Spatial Knowledge and Intelligence
This two-volume set (CCIS 848 and CCIS 849) constitutes the thoroughly refereed proceedings of the 5th International Conference Geo-Spatial Knowledge and Intelligence, GSKI 2017, held in Chiang Mai, Thailand, in December 2018.The 142 full papers presented were carefully reviewed and selected from 579 submissions. They are organized in topical sections on smart city in resource management and sustainable ecosystem; spatial data acquisition through RS and GIS in resource management and sustainable ecosystem; ecological and environmental data processing and management; advanced geospatial model and analysis for understanding ecological and environmental process; applications of geo-informatics in resource management and sustainable ecosystem.
Current Catalog
First multi-year cumulation covers six years: 1965-70.
Chinese Biographical Index
Provides a summary of information contained in the microfiche collection entitled: Chinese biographical archive.
Chinese Biographical Index
Provides a summary of information contained in the microfiche collection entitled: Chinese biographical archive.
An Integrated Modelling Approach to Design Cost-Effective AES for Agricultural Soil Erosion and Water Pollution
Agri-environment schemes (AES) is frequently adopted for tricky environmental issues. One key concern for AES design is to optimize the cost-effectiveness. For issues of cost-effective prevention of agricultural soil erosion and non-point source water pollution, although models that assess both environmental effects and economic costs of land use measures have been developed, they typically adopt a planning perspective instead of designing AES with the role of farmers being considered. This book presents a spatially explicit novel integrated modelling approach that addresses the shortcoming by combining several components. The relevance of the modelling approach is demonstrated in this book by applying it to the Baishahe watershed in Shanxi province in China. The results show that the modelling approach is robust to design cost-effective AES, i.e. under given budget the maximum environmental effect in the study region could be attained with a set of designed payments for measures in AES. The developed modelling approach is generic and powerful for application in all kinds of agricultural watersheds with various sizes.
CHINOPERL Papers
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