曹文志
流域生态过程,水资源与水环境,GIS在环境科学中的运用。
个性化签名
- 姓名:曹文志
- 目前身份:
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学术头衔:
博士生导师, 教育部“新世纪优秀人才支持计划”入选者
- 职称:-
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学科领域:
环境科学技术
- 研究兴趣:流域生态过程,水资源与水环境,GIS在环境科学中的运用。
曹文志,博士,教授。
个人履历:华东师范大学理学博士(1994-1998);厦门大学博士后 (1998-2001);加拿大Nova Scotia农业学院访问学者(1999);香港浸会大学自然资源研究中心访问研究学者(2001);厦门大学 教授(2007-);新西兰皇家科学院Landcare研究所博士后 (2001-2003)。
研究方向:流域生态过程,水资源与水环境,GIS在环境科学中的运用。
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135
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成果数
3
曹文志, Wenzhi Cao a, *, Hejian Zhu b, Songlin Chen b
Catena 69 (2007) 36-43,-0001,():
-1年11月30日
With increasing urbanization, the demands for high quality agricultural products induced changes in local cropping patterns. Although grain production still occupied a large portion in sown and planted areas, the share of sown areas declined from 67% to 44% for total grain crops, and 54% to 35% for rice between 1989 and 2002 in Fujian province. The change in crop spectrum and land use by urbanization has resulted in two extreme trends in topsoil-nutrient depletion in grain-dominated regions and nutrient overload in city suburbs. The positive correlation between nitrogen balance and local urban population in some years showed that urbanization affected nutrient balance in topsoil. The rapid changes in land use and crop spectrum caused by urbanization therefore created a challenge to the traditional soil nutrient management derived mainly from paddy fields and an urgent need for new management schemes in the province. The study provides valuable insights into nutrient management and soil sustainability in the context of rapid urbanization and population growth in Fujian. © 2006 Elsevier B.V. All rights reserved.
Topsoil nutrient balance, Urbanization, Crop pattern, Diversity, Dominance
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曹文志, Wenzhi Cao, , William B. Bowden, Tim Davie* and Andrew Fenemor
Hydrol. Process. 20, 1057-1073 (2006),-0001,():
-1年11月30日
Many methods developed for calibration and validation of physically based distributed hydrological models are time consuming and computationally intensive. Only a small set of input parameters can be optimized, and the optimization often results in unrealistic values. In this study we adopted a multi-variable and multi-site approach to calibration and validation of the Soil Water Assessment Tool (SWAT) model for the Motueka catchment, making use of extensive field measurements. Not only were a number of hydrological processes (model components) in a catchment evaluated, but also a number of subcatchments were used in the calibration. The internal variables used were PET, annual water yield, daily streamflow, baseflow, and soil moisture. The study was conducted using an 11-year historical flow record (1990-2000); 1990-94 was used for calibration and 1995-2000 for validation. SWAT generally predicted well the PET, water yield and daily streamflow. The predicted daily streamflow matched the observed values, with a Nash–Sutcliffe coefficient of 0.78 during calibration and 0.72 during validation. However, values for subcatchments ranged from 0.31 to 0.67 during calibration, and 0.36 to 0.52 during validation. The predicted soil moisture remained wet compared with the measurement. About 50% of the extra soil water storage predicted by the model can be ascribed to overprediction of precipitation; the remaining 50% discrepancy was likely to be a result of poor representation of soil properties. Hydrological compensations in the modelling results are derived from water balances in the various pathways and storage (evaporation, streamflow, surface runoff, soil moisture and groundwater) and the contributions to streamflow from different geographic areas (hill slopes, variable source areas, sub-basins, and subcatchments). The use of an integrated multi-variable and multi-site method improved the model calibration and validation and highlighted the areas and hydrological processes requiring greater calibration effort.
physically based distributed hydrological models, calibration and validation, soil and water assessment tool, spatial variability
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【期刊论文】Modelling agricultural nitrogen contributions to the Jiulong River estuary and coastal water
曹文志, Wenzhi Cao*, Huasheng Hong, Shiping Yue
Global and Planetary Change 47 (2005) 111-121,-0001,():
-1年11月30日
The geographical setting of the Jiulong River estuary determines that the estuary receives wastes from both riverine input and adjacent urban sewage. However, the dominant nitrogen (N) source remains unclear. A nutrient mass-balance model and a preliminary LOICZ (Land-Ocean Interactions in the Coastal Zone) biogeochemical model were linked to evaluate agricultural N contributions from the Jiulong River catchment to the estuary and coastal water. Results showed that agricultural N surplus was the largest N source in the catchment, contributing 60.87% of the total Nitrogen (N) and 68.63% of the dissolved inorganic nitrogen (DIN). Household wastes and other sources followed. Riverine DIN fluxes were about 20.3% of exportable DIN and 14.4% of exportable total N, but approximately 9.7% of DIN inputs, and 7.3% of total N inputs to the Jiulong River catchment. The model system clearly showed that agricultural and anthropogenic activities in the catchment were the major N sources of the estuary and coastal water, and riverine N fluxes from these sources substantially impacted the estuary and coastal water quality and biogeochemical processes.
agricultural catchment, nitrogen balance, land-ocean interactions in the coastal zone, estuary
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