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A green eco-environment for sustainable development:framework and action

Frontiers of Agricultural Science and Engineering 2020年第1期7卷 67-74页

作者： Xuejun LIU Wen XU Zhipeng SHA Yangyang ZHANG Zhang WEN Jingxia WANG Fusuo ZHANG Keith GOULDING National Academy of Agriculture Green Development College of Resources and Environmental SciencesChina Agricultural UniversityBeijing 100193China Sustainable Agricultural Sciences Department Rothamsted ResearchHarpenden AL52JQUK

Following its 40-year reform and‘Open Door’policy,China has recently proposed a new approach to green development and rural revitalization—the idea of Agriculture Green Development(AGD),with the key feature of creating a green *** this minireview we introduce the definition,theory,framework and major components of a green eco-environment as a key part of the *** define a green eco-environment as including four key elements or measures:(1)a green ecoenvironmental indicator system;(2)environmental monitoring and warning networks;(3)emission standards and environmental thresholds for key pollutants;(4)emission controls and pollution remediation *** have used Quzhou County(a typical county in the center of the North China Plain)as an example to show how detailed air,water and soil monitoring networks,as well as improved farmer practices and pollution control measures(especially ammonia emission mitigation and PM2.5 pollution reduction),can begin to create a green eco-environment in China and that AGD is *** conclude by stressing the need to improve the framework and practice for a green eco-environment,especially the importance of linking proposals and practices for a green eco-environment with the United Nations high priority Sustainable Development Goals.

关键词： monitoring networks environmental thresholds ammonia emission mitigation green ecological environment Quzhou County

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thresholds of Instability: Precipitation, Landslides, and Early Warning Systems in Brazil

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International Journal of Geosciences 2023年第10期14卷 895-912页

作者： Maiconn Vinicius de Moraes Luana Albertani Pampuch Cassiano Antonio Bortolozo Tatiana Sussel Gonçalves Mendes Marcio Roberto Magalhães de Andrade Daniel Metodiev Tristan Pryer environmental Engineering Department Institute of Science and Technology S&#227o Paulo State University S&#227o José dos Campos Brazil Cemaden—National Center for Monitoring and Early Warning of Natural Disasters General Coordination of Research and Development S&#227o José dos Campos Brazil Department of Mathematical Sciences University of Bath Bath UK

Rainfall accumulation thresholds are crucial for issuing landslide warnings by identifying when soil saturation from rain could potentially trigger a landslide. Two essential types of thresholds are considered: environmental and operational. The environmental threshold indicates the minimum rainfall level required to potentially initiate a landslide. Conversely, the operational threshold is set lower to enable agencies to issue alerts before reaching environmental thresholds. Establishing these thresholds improves the accuracy of landslide predictions in terms of location and timing. This study introduces an innovative approach for determining these thresholds. Our approach employs cluster analysis and historical landslide data from the Metropolitan Region of Recife, Pernambuco State, Brazil. We applied our defined values to a significant landslide event in 2022, validating their robustness as the foundation for the operational threshold used by Cemaden, Brazil’s National Center for Monitoring and Early Warning of Natural Disasters.

关键词： Cluster Analysis Landslides environmental thresholds Rainfall Brazil

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environmental Data Observation System—Solam for Analysis and Interpretation of Soil Moisture Variation and Precipitation Indexes

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International Journal of Geosciences 2018年第11期9卷 658-667页

作者： Laura Vanessa Araque Lavalle Rodrigo A.Stabile Cassiano A.Bortolozo Rodolfo M.Mendes Joao V.C.Garcia Mariana F.B.Motta Marcio R.M.Andrade Tehrrie Konig Daniel Metodiev National Center for Monitoring and Early Warning of Natural Disasters(CEMADEN/MCTIC) Sao Jose dos CamposBrazil

The monitoring of urban slopes employing in-situ equipment seeks to avoid the loss of human lives midst emergency events like landslides. Cemaden (Brazilian National Centre for Monitoring and Early Warnings of Natural Disasters) has a pilot network of soil moisture and rain gauge stations located in urban slopes to understand, prevent, and mitigate landslides. Due to the large volume of data produced by this system there was a need for tools for data retrieval and visualization. This paper describes the Solam (environmental Data Observation System) software which generates automated graphs that enable researchers to analyze and comprise data from soil moisture sensors and rain gauge stations. Those results allow to research moisture variations in six different sensor levels (from 0.5 m to 3 m deep) and precipitation indexes (hourly and accumulated rainfall) for the established period. This analysis will provide information to set critical environmental thresholds on base recorded landslides.

关键词： Slope Stability Geotechnical Monitoring environmental thresholds Urban Slopes Software Warning System

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