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Present-day oxidative subsidence of organic soils and mitigation in the Sacramento-San Joaquin Delta, California, USA

机译:美国加利福尼亚萨克拉曼多-圣华金河三角洲现今有机土壤的氧化沉降和减缓

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Subsidence of organic soils in the Sacramento-San Joaquin Delta threatens sustainability of the California (USA) water supply system and agriculture. Land-surface elevation data were collected to assess present-day subsidence rates and evaluate rice as a land use for subsidence mitigation. To depict Delta-wide present-day rates of subsidence, the previously developed SUBCALC model was refined and calibrated using recent data for CO2 emissions and land-surface elevation changes measured at extensometers. Land-surface elevation change data were evaluated relative to indirect estimates of subsidence and accretion using carbon and nitrogen flux data for rice cultivation. Extensometer and leveling data demonstrate seasonal variations in land-surface elevations associated with groundwater-level fluctuations and inelastic subsidence rates of 0.5-0.8 cm yr(-1). Calibration of the SUBCALC model indicated accuracy of +/- 0.10 cm yr(-1) where depth to groundwater, soil organic matter content and temperature are known. Regional estimates of subsidence range from < 0.3 to > 1.8 cm yr(-1). The primary uncertainty is the distribution of soil organic matter content which results in spatial averaging in the mapping of subsidence rates. Analysis of leveling and extensometer data in rice fields resulted in an estimated accretion rate of 0.02-0.8 cm yr(-1). These values generally agreed with indirect estimates based on carbon fluxes and nitrogen mineralization, thus preliminarily demonstrating that rice will stop or greatly reduce subsidence. Areas below elevations of -2 m are candidate areas for implementation of mitigation measures such as rice because there is active subsidence occurring at rates greater than 0.4 cm yr(-1).
机译:萨克拉曼多-圣华金三角洲的有机土壤沉降威胁到加利福尼亚(美国)供水系统和农业的可持续性。收集了地面高程数据以评估当前的沉降率,并评估水稻作为缓解沉降的土地用途。为了描述整个Delta的当前沉降率,使用最近的二氧化碳排放数据和在引伸计上测量的地表高程变化对以前开发的SUBCALC模型进行了完善和校准。使用碳和氮通量数据对水稻种植进行了相对于地面下沉和增生的间接估计来评估陆地表面海拔变化数据。引伸计和水准仪数据表明,地表高程的季节变化与地下水位波动和0.5-0.8 cm yr(-1)的非弹性沉降速率有关。 SUBCALC模型的校准表明,在已知地下水深度,土壤有机质含量和温度的情况下,精度为+/- 0.10 cm yr(-1)。沉降的区域估计范围从<0.3到> 1.8 cm yr(-1)。主要的不确定性是土壤有机质含量的分布,这导致了沉降速率图的空间平均。对稻田的水平和引伸计数据进行分析后,估计吸积速率为0.02-0.8 cm yr(-1)。这些值通常与基于碳通量和氮矿化作用的间接估计值吻合,因此初步表明水稻将停止或大大减少沉降。海拔低于-2 m的区域是实施减缓措施的候选区域,例如水稻,因为存在活跃的沉降,沉降速率大于0.4 cm yr(-1)。

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