Phytoremediation and its models for organic contaminated soils

ＩｎｔｒｏｄｕｃｔｉｏｎＳｏｉｌｓａｒｅａｓｉｎｋｆｏｒｏｒｇａｎｉｃｐｏｌｌｕｔａｎｔｓｏｆｃｏｎｃｅｒｎｆｏｒｈｕｍａｎａｎｄｅｎｖｉｒｏｎｍｅｎｔａｌｈｅａｌｔｈａｎｄｓｕｓｔａｉｎａｂｉｌｉｔｙ .Ｓｏｍｅｏｒｇａｎｉｃｐｏｌｌｕｔａｎｔｓａｒｒｉｖｉｎｇｉｎｓｏｉｌｓｃａｎｂｅｒａｐｉｄｌｙｄｅｃｏｍｐｏｓｅｄ ,ｗｈｉｌｓｔｇｒｅａｔａｍｏｕｎｔｏｆｏｒｇａｎｉｃｐｏｌｌｕｔａｎｔｓｓｕｃｈａｓｐｅｒｓｉｓｔｅｎｔｏｒｇａｎｉｃｐｏｌｌｕｔａｎｔｓ (ＰＯＰｓ)ｍａｙｐｅｒｓｉｓｔｉｎｓｏ…     

Biological exposure models for oil spill impact analysis

1　ＢｒｉｅｆｄｅｓｃｒｉｐｔｉｏｎｏｆｏｉｌｓｐｉｌｌｉｍｐａｃｔａｎａｌｙｓｉｓｓｙｓｔｅｍＡｓｌｏｎｇａｓｃｒｕｄｅｏｉｌｓａｒｅ ｐｒｏｄｕｃｅｄｏｆｆｓｈｏｒｅａｎｄｔｒａｎｓｐｏｒｔｅｄａｃｒｏｓｓｔｈｅｓｅａｓｂｙｓｈｉｐｓｏｒｐｉｐｅｌｉｎｅｓ,ｔｈｅｒｅｉｓａｒｉｓｋｏｆｏｉｌｓｐｉｌｌｓｗｉｔｈｔｈｅｐｏｔｅｎｔｉａｌｔｏｃａｕｓｅｓｉｇｎｉｆｉｃａｎｔｅｎｖｉｒｏｎｍｅｎｔａｌｄａｍａｇｅ .Ｔｈｅ“ＥｘｘｏｎＶａｌｄｅｚ”ｉｎｃｉｄｅｎｔｉｎＡｌａｓｋａ ,ａｎｄｏｔｈｅｒｏｉ…     

Ecodynamic models accounting for the changes in lake ecosystem

ＥｃｏｄｙｎａｍｉｃｍｏｄｅｌｓａｃｏｕｎｔｉｎｇｆｏｒｔｈｅｃｈａｎｇｅｓｉｎｌａｋｅｅｃｏｓｙｓｔｅｍＺｈａｎｇＹｏｎｇｚｅ，ＨｕａｎｇＣｈｕａｎｙｏｕ，ＷａｎｇＸｕａｎＤｅｐａｒｔｍｅｎｔｏｆＨｙｄｒａｕｌｉｃＥｎｇｉｎｅｅｒｉｎｇ，Ｓｉｃｈｕ...     

Studies on crop growth modelling and simulation models in China

There is a close relationship between agricultural production and environmental meteorological conditions. In the study of the correlation between them, the simulation models are paid more attention to the crop growth. In this paper the development of the studies on the crop growth dynamic simulation model in China is briefly reviewed. The relationships between meteorological conditions and each process of crop growth (such as photosynthesis, respiration, accumulation and distribution of assimilation products and growth of leaf area) are studied and simulated basing on the results from field experiments. Preliminary models for rice, wheat, maize and soybean have been developed, and some investigations about modelling methods, procedures and parameters in simulation models are made.     

Regional air quality prediction models using the knowledge-based system approach

Ｒｅｇｉｏｎａｌａｉｒｑｕａｌｉｔｙｐｒｅｄｉｃｔｉｏｎｍｏｄｅｌｓｕｓｉｎｇｔｈｅｋｎｏｗｌｅｄｇｅ－ｂａｓｅｄｓｙｓｔｅｍａｐｐｒｏａｃｈＤｕＭｉｎ；ＢａｉＮａｉｂｉｎ；ＹａｏＧｕｉａｎ（ＲｅｓｅａｒｃｈｃｅｎｔｅｒｆｏｒＥｃｏ－Ｅｎｖｉｒｏｎｍ...     

Recent developments of surface complexation models applied to environmental aquatic chemistry

1　ＢａｃｋｇｒｏｕｎｄＩｎｇｅｏｃｈｅｍｉｃａｌｃｉｒｃｕｌａｔｉｏｎ ,ｖａｒｉｏｕｓｐｏｌｌｕｔａｎｔｓｗｉｔｈａｄｖｅｒｓｅｉｍｐａｃｔｓ (ｅ .ｇ .,ｔｏｘｉｃｉｔｙ ,ｍｕｔａｇｅｎｉｃｉｔｙａｎｄｌｅｔｈａｌｉｔｙ)ａｒｅｕｓｕａｌｌｙａｓｓｏｃｉａｔｅｄｗｉｔｈｈｅｔｅｒｏｇｅｎｅｏｕｓｐａｒｔｉｃｌｅｓ,ｐｒｅｄｏｍｉｎａｎｔｌｙｃｌａｙｍｉｎｅｒａｌｓ .Ｇｅｎｅｒａｌｌｙ ,ｔｈｅｐｒｏｐｅｒｔｉｅｓｏｆｔｈｅｓｅｃｏｍｐｌｅｘｐａｒｔｉｃｌｅｓｓｈｏｕｌｄｂｅｄｅｓｃｒｉｂｅｄｕｓｉｎ…     

Reproducing or dispersing? Using trait based habitat templet models to analyse Orthoptera response to flooding and land use

Habitat templet theory predicts that habitat provides the templet on which evolution shapes species’ multiple traits and thus their characteristic life-history strategies. By analysing entire trait communities (multiple species and traits) in this framework we can enhance our understanding of how species composition changes as environmental constraints vary across the landscape. Here, we study multiple traits of floodplain Orthoptera communities under the influence of two different sources of disturbance, land use and seasonal flooding.The application of two recently developed statistical techniques - qualitative RLQ analysis and subsequent fourth-corner permutation tests - revealed two different life history strategies in Orthoptera as a response to ecological disturbances, resulting from land use management and seasonal flooding. Orthoptera species seem to have developed two complementary strategies: (i) the high active dispersal-low reproduction strategy in intensive land use situations and (ii) the high passive dispersal-high reproduction strategy in areas with high flood disturbance. Disturbance gradients act as trait filters allowing only particular trait combinations i.e. species with particular preadaptations to survive, whereas others go regionally extinct. Reproduction and dispersal capacity seem to be inversely associated with the disturbance gradients. Ovariole number, taken as the measure for reproduction, showed significant phylogenetic signal, which could potentially confound this relationship. Nonetheless, RLQ analyses coupled with fourth-corner permutation tests proved a powerful tool to reveal and disentangle different evolutionary strategies.