1) RUSLE
修正的通用土壤流失方程
1.
By using GIS and RS techniques and RUSLE,the rainfall erosivity(R),soil erodibility(K),vegetation and management factor(C),and slope length and steepness factor(LS)around Hangzhou Bay of Zhejiang Province,China were calculated to make a comprehensive sensitivity evaluation of soil erosion in the study area.
基于修正的通用土壤流失方程(RUSLE)以及GIS和RS技术,以环杭州湾地区为例,分别计算了影响土壤侵蚀敏感性的降雨侵蚀因子、土壤可蚀性因子、植被与经营管理因子以及坡长与坡度因子,综合评价了土壤侵蚀敏感性,分析降雨、土壤质地、坡度和高程4个自然因子对土壤侵蚀敏感性的影响,并用叠加排序法对给定敏感区的关键影响因子进行识别。
2) RUSLE
修正通用土壤流失方程
1.
Extraction of RUSLE-LS Factors Using DEM data and GIS Techniques;
基于DEM和GIS的修正通用土壤流失方程地形因子值的提取
2.
<Abstrcat> This paper introduces the model of Revised Universal Soil Loss equation (RUSLE) and the algorithm of its each factor.
介绍了修正通用土壤流失方程及各因子算法。
3) revised universal soil loss equation(RUSLE)
修正通用土壤流失方程(RUSLE)
4) modified ULSE
修正的通用土壤流失模型
5) ULSE
土壤流失通用方程
6) universal soil loss equation
通用土壤流失方程
1.
The amounts of soil erosion and retention and their spatial distribution of the region were studied utilizing universal soil loss equation; and the techniques of market value, opportunity cost and shadow engineering were utilized to evaluate the value of soil retention function.
运用通用土壤流失方程研究了该地区生态系统土壤侵蚀量和土壤保持量及其空间分布,并利用市场价值法、机会成本法和影子工程法评估了土壤保持功能的价值。
2.
Soil loss was predicted and risk areas of soil erosion were identified in Dahongshan Iron Mine at Xinping of Yunnan province by means of combinin geographical information system(GIS) and universal soil loss equation(USLE).
将地理信息系统(GIS)与通用土壤流失方程(USLE)相结合对云南新平大红山铁矿区进行土壤侵蚀量的预测和估算。
补充资料：修正
修正
modification
修正【m回跪Ca肠佣;M叭班中皿叫”1，亦称调整，解析空间的 解析空间之间的解析映射f:X~Y，使得对较低维数的解析集5 CX以及TCY，以下条件成立:f:X\S~Y\T是同构， f(S)“T.修正也称为S到T的收缩(印n加ctjon).修正的例子之一是单项变换(心noida」红u仍fonlla山n). 亦见例外解析集(~ptional analytjcset)，例外子簇(excePtional sub珑州ety)·
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条