Research on Chromium Retrieval of Black Soil with Hyperspectral Imagery in Northeast of China#br#

According to the definition of spectral integral，a new spectral characteristic parameter，with the name Reversed Spectral Absorption Integral(RSAI)，is proposed and used to retrieve the chromium content based on the Partial Least Squares Regression(PLSR) model.The contrastive study with other traditional spectral characteristic parameters，including differential transformation，inverse transformation，absorption area，etc.indicates that(1) the first derivation of square root transformed model can predict the chromium content quantitatively in terms of spectral transformations.(2) the stability of the absorption area model is slightly poor，and the chromium content of samples can only be estimated roughly.(3) However，as to the inversed spectral absorption integral model，the adjustment determination coefficient(Ad-R²) of the modeling and verification is 0.73 and 0.77，while the Root Mean Squared Error(RMSE) is 2.63 mg/kg and 2.36 mg/kg respectively with Relative Percent Deviation(RPD) being 3.21，which shows that the RSAI model has excellent prediction ability.So，the inversed spectral absorption integral new model can improve the accuracy and stability used to retrieve the chromium content，which provides a new idea for monitoring the chromium contamination in soil.     

云南滇池湖泊流域水土流失灾害遥感调查

采用遥感技术与地面调查相结合的方法，组织多学科综合调查研究，对云南滇池流域水土流失状况及程度进行了调查分析。初步查明了引起水土流失灾害的原因并提出相应的防止对策。     

Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04

Soil moisture status in the root zone is an important component of the water cycle at all spatial scales (e.g., point, field, catchment, watershed, and region). In this study, the spatio-temporal evolution of root zone soil moisture of the Walnut Gulch Experimental Watershed (WGEW) in Arizona was investigated during the Soil Moisture Experiment 2004 (SMEX04). Root zone soil moisture was estimated via assimilation of aircraft-based remotely sensed surface soil moisture into a distributed Soil-Water-Atmosphere-Plant (SWAP) model. An ensemble square root filter (EnSRF) based on a Kalman filtering scheme was used for assimilating the aircraft-based soil moisture observations at a spatial resolution of 800 m × 800 m. The SWAP model inputs were derived from the SSURGO soil database, LAI (Leaf Area Index) data from SMEX04 database, and data from meteorological stations/rain gauges at the WGEW. Model predictions are presented in terms of temporal evolution of soil moisture probability density function at various depths across the WGEW. The assimilation of the remotely sensed surface soil moisture observations had limited influence on the profile soil moisture. More specifically, root zone soil moisture depended mostly on the soil type. Modeled soil moisture profile estimates were compared to field measurements made periodically during the experiment at the ground based soil moisture stations in the watershed. Comparisons showed that the ground-based soil moisture observations at various depths were within ± 1 standard deviation of the modeled profile soil moisture. Density plots of root zone soil moisture at various depths in the WGEW exhibited multi-modal variations due to the uneven distribution of precipitation and the heterogeneity of soil types and soil layers across the watershed.     

Multi-dimensional analysis of soil moisture dynamics in trickle irrigated fields. II: Model testing

The mathematical model which was developed in part I of this work for multi-dimensional analysis of soil moisture in irrigated fields is converted into computer algorithms. The algorithms are capable of emulating many field conditions of practical applications during both design and operation phases. The model is subjected to various tests, the results of which are reported here. The tests in various modes of simulations verified the numerical performance of the model and the accuracy of its predictions. The model provides a powerful tool for detailed studies of soil moisture dynamics in one or multi-dimensional problems irrigated fields     

农业管理措施对土壤有机碳动态变化的影响

土壤碳固定问题已成为陆地生态系统碳循环研究的热点问题。土壤碳固定是缓解温室效应加剧的有效方法之一。土壤有机碳含量变化受土地利用方式和耕作措施的强烈影响。将自然土壤转变为耕作土壤会导致土壤碳库的迅速下降,使土壤损失有机碳4.1-5.0×1013kg之间。采用新的农业措施会使碳损失量的60-70%重新被固定。这些措施有保护性耕作(少耕或免耕)、合理施用肥料、覆盖作物、应用深根且富含木质素的作物等。土壤除了固定有机碳外,干旱和半干旱地区土壤还具有固定无机碳的巨大潜力。文章还简要介绍了评价土壤有机碳的两种方法,并对今后的工作提出了几点建议。     

长期酸化对红壤中活性固相铝库大小及亏损程度的影响

用连续分级提取和反复多次酸提取方法研究了长期土壤酸化对红壤固相铝库中铝含量及亏损程度的影响。研究结果表明:嵊县红壤的活性铝库大于永春红壤和屯溪红壤;因永春红壤和屯溪红壤的酸化程度大于嵊县红壤,前两者的有机铝库和无机铝库都比嵊县红壤的亏损,因此反复酸提取过程中铝的释放量也比嵊县红壤少;当高强度酸输入土壤后,弱键合的有机络合态铝可快速活化并亏损,剩余铝库因活性小而释放速率减小,但长期酸化过程中,动力学控制的低活性铝库的活化可能对铝的溶解量仍有重要贡献。     

原子吸收次灵敏线法直接测定土壤中Fe、Mn

用原子吸收次灵敏线法塞曼效应扣除背景测定土壤中Fe、Mn,实验结果表明:此方法有较好的准确度,精密度,操作简单,适合一般土壤中Fe、Mn的测定。     

SOTER支持下海南岛土壤侵蚀模拟与影响因子分析

基于SOTER数据库,利用USLE方程对海南岛土壤的现实和潜在侵蚀量进行了定量估算,结果表明海南岛92.82%的面积土壤侵蚀量在500t/km2·a以下,侵蚀主要发生在中坡度坡地和高坡度丘陵区;而由于其所处的特殊气候区,潜在侵蚀量巨大,中度以上侵蚀面积达到全岛的90.67%。酸性常湿雏形土、铝质湿润雏形土和铁质湿润雏形土相对侵蚀程度大,粉砂岩、泥岩地区最容易发生侵蚀。