| 4 | STUDY IN FO RMATION OF SUB GRAINS AND MICROCRACKS IN WEIDED METAIS UNDER FATIGUE LOAD显示文摘With TEM( Transmission Electron Microscope) ,ithasobserved and analyzedthatforming processof Sub grainsand position offormingfatigue microcracksarein Welded metalsofthe16 Mnsteelundertensile tensilestress. Theresultsindicatedthattheforming processof Sub grainsfrom dislocationtanglecellstotheSub grains. Thepositionofformingfatigue micro crackisattheoxidativeinterfaceand granular noncrgstallines and Sub boundaries. Thece mentiteineutectoidsafterfracture may beproduced microcracks. | S.Z.Dong ,J.B.Li, X.H.Zhang and J.Zhang Shenyang University ,Shenyang 110044 ,China | 1999 | Acta Metallurgica Sinica(English Letters)1999，12，4： | 0 |
| 5 | DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MANAGING PESTICIDE LOSSES IN AGRICULTURAL WATERSHEDS显示文摘In this study, a decision support system for managing pesticides losses in agricultural watersheds, based on a number of simulation, GIS and RS technologies was developed. The system allows acquisition of information through not only on-site survey but also RS technologies. Aerial photographs were used to generate DEM, and a set of terrain analysis methods were employed to calculate hydrological parameters that are needed for the pesticide loss model. The system also facilitates convenient management and presentation of vast amounts of modeling inputs and outputs through user interfaces. A case study in the Kintore Creek Watershed, Ontario, Canada was undertaken to provide bases for environmental management in the watershed and to demonstrate practical applicability of the developed DSS. The modeling outputs were verified through monitoring data, demonstrating reasonable prediction accuracy. The result indicated that the model provides an effective means for forecasting pesticide losses from agriculture lands. Especially, incorporation of GIS and remote sensing with the pesticides losses model provide a powerful tool for system simulation and environmental management. The major contribution of this study is the development of a new integrated modeling system for simulating fate of pesticides in agricultural lands, as well as its application to a real Canadian case study. In detail, a dynamic simulation model was developed, a solution algorithm was implemented, and the modeling results were verified. The developed simulator was also enhanced through incorporation of GIS and RS technologies within its framework to facilitate effective data acquisition and management, as well as input/output presentation. DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR MANAGING PESTICIDE LOSSES IN AGRICULTURAL WATERSHEDS Y.-F. LI1, Y. R. LI2, G. H. HUANG2, J. STRUGER3, J. D. FISCHER4, Xinzhu WANG5, B. CHEN2, J. B. LI2 and X. H. NIE2 ABSTRACT In this study, a decision support system for managing pesticides losses in agricultural watersheds, based on a number of simulation, GIS and RS technologies was developed. The system allows acquisition of information through not only on-site survey but also RS technologies. Aerial photographs were used to generate DEM, and a set of terrain analysis methods were employed to calculate hydrological parameters that are needed for the pesticide loss model. The system also facilitates convenient management and presentation of vast amounts of modeling inputs and outputs through user interfaces. A case study in the Kintore Creek Watershed, Ontario, Canada was undertaken to provide bases for environmental management in the watershed and to demonstrate practical applicability of the developed DSS. The modeling outputs were verified through monitoring data, demonstrating reasonable prediction accuracy. The result indicated that the model provides an effective means for forecasting pesticide losses from agriculture lands. Especially, incorporation of GIS and remote sensing with the pesticides losses model provide a powerful tool for system simulation and environmental management. The major contribution of this study is the development of a new integrated modeling system for simulating fate of pesticides in agricultural lands, as well as its application to a real Canadian case study. In detail, a dynamic simulation model was developed, a solution algorithm was implemented, and the modeling results were verified. The developed simulator was also enhanced through incorporation of GIS and RS technologies within its framework to facilitate effective data acquisition and management, as well as input/output presentation. Key Words: Agriculture, Decision, GIS, Nonpoint source, Pesticide, Rainfall, Remote sensing, Runoff, Simulation, | Y.-F.LI Y.R.LI G.H.HUANG J.STRUGER J.D.FISCHER B.CHEN J.B.LI X.H.NIE | 2003 | International Journal of Sediment Research2003，18，1： | 0 |
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