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首页> 外文期刊>Transactions of the ASABE >Impacts of Land Use Characterization in Modeling Hydrology and Sediments for the Luxapallila Creek Watershed, Alabama and Mississippi
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Impacts of Land Use Characterization in Modeling Hydrology and Sediments for the Luxapallila Creek Watershed, Alabama and Mississippi

机译:土地利用特征对Luxapallila Creek流域,阿拉巴马州和密西西比州水文和泥沙模拟的影响

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摘要

The Hydrological Simulation Program - Fortran (HSPF), interfaced with the Better Assessment Science Integrating Point and Nonpoint (BASINS), was used to evaluate the impact of land use (as characterized by different land use/land cover (LU/LC) datasets) on hydrology and sediment components of the Luxapallila Creek watershed. The 1,770 km 2 watershed is located in Alabama and Mississippi. Simulation of the watershed processes were tested at the hillslope and at the watershed outlet for the period between 1985 and 2003. Three LU/LC databases were used: the Geographic Information Retrieval and Analysis System (GIRAS), the Moderate Resolution Imaging Spectroradiometer land cover product (MODIS MOD12Q1), and the National Land Cover Dataset (NLCD). The two main land use categories revealed by the three LU/LC databases were forest and agricultural lands. Whereas forest cover mechanisms were the main source of water loss in hydrology simulation, agricultural land was the main source of sediment export in sediment modeling. Land use datasets of coarser spatial resolution (MODIS and GIRAS) produced larger HSPF estimations for sediment fraction values than land use datasets identifying smaller percentages of those agricultural land cover classes (NLCD). Differences in agricultural land characterization among the land use datasets showed that sediment predictions were more sensitive than streamflow predictions to the scale and resolution of land use datasets. Choosing the right land use dataset will impact the modeling of sediments and, potentially, other water quality constituents that are related with agricultural activities.
机译:与更好的评估科学综合点和非点(BASINS)交互的Fortran水文模拟计划(HSPF)用于评估土地利用的影响(以不同的土地利用/土地覆盖率(LU / LC)数据集为特征) Luxapallila Creek流域的水文和沉积物成分分析。长达1,770 km 2的分水岭位于阿拉巴马州和密西西比州。在1985年至2003年期间,在山坡和流域出口对流域过程进行了模拟测试。使用了三个LU / LC数据库:地理信息检索和分析系统(GIRAS),中分辨率成像光谱仪土地覆盖产品(MODIS MOD12Q1)和国家土地覆被数据集(NLCD)。三个土地利用/土地利用数据库显示的两个主要土地利用类别是森林和农业用地。在水文模拟中,森林覆盖机制是失水的主要来源,而在沉积物模拟中,农地是沉积物输出的主要来源。空间分辨率较粗的土地利用数据集(MODIS和GIRAS)对沉积物分数值的HSPF估计要比识别较小农业土地覆盖类别(NLCD)百分比的土地利用数据集更大。土地利用数据集之间农业土地特征的差异表明,对于土地利用数据集的规模和分辨率,泥沙预测比水流预测更为敏感。选择正确的土地利用数据集将影响沉积物的建模,并可能影响与农业活动有关的其他水质成分的建模。

著录项

  • 来源
    《Transactions of the ASABE》 |2008年第1期|p.139-151|共13页
  • 作者单位

    The authors are Jairo N. Diaz-Ramirez, ASABE Member Engineer, Post-Doctoral Associate, Department of Civil and Environmental Engineering, and Vladimir J. Alarcon, Assistant Research Professor, GeoResources Institute, Mississippi State University, Mississippi State, Mississippi;

    Zhiyong Duan, Engineer, CDM, New Orleans, Louisiana;

    Mary Love Tagert, Assistant Research Professor, Water Resources Research Institute, William McAnally, Associate Professor, and James L. Martin, Professor, Department of Civil and Environmental Engineering, and Charles G. O'Hara, Associate Research Professor, GeoResources Institute, Mississippi State University, Mississippi State Mississippi. Corresponding author: Jairo N. Diaz-Ramirez, Department of Civil and Environmental Engineering, Mississippi State University, P.O. Box 9546, Mississippi State, MS 39762;

    phone: 662-325-9885;

    fax: 662-325-7189;

    e-mail: jd216@msstate.edu.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    HSPF, Hydrology, Land use, Sediments, Watershed modeling;

    机译:HSPF;水文学;土地利用;沉积物;分水岭模型;

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