Results 31 to 40 of about 11,487 (162)
基于对我国坡面水蚀预报模型研究成果的述评和考虑坡面土壤侵蚀特征,提出了我国坡面水蚀预报模型的基本形式,给出了模型中各参数,如降雨侵蚀力、坡度与坡长、浅沟侵蚀因子的计算公式,并对土壤可蚀性、作物和水保措施等因子的提取方法进行了讨论。
江忠善 郑粉莉
doaj +2 more sources
本研究利用贵阳站2020年1~10月逐日探空资料,计算了74个物理量参数。在物理量参数与闪电活动次数、雷暴活动事件相关系数的显著性检验基础上,选定了具有预报意义的16个物理量参数,采取累计概率极差法统计样本值域分布,确定其单一指标判定范围,单一物理量判定雷暴活动命中率均达到70%;应用逐步回归建立雷暴潜势预报方程,选定了瑞士第二雷暴指数(SWISS12)、抬升指数(LI)、最大抬升指数(BLI)、修正杰弗逊指数(TMJ)、修正K指数(mK)、整层比湿积分(IntegralQ)5个物理参量 ...
吴安坤, 丁旻, 李迪, 张弛
doaj
Abstract Green finance is widely hailed as the solution to environmental and capitalist crises, promising to address climate change and secure future returns. Yet, rather than being market‐driven, it increasingly relies on data‐intensive forecasting models and scenarios that resemble economic planning.
Giulia Dal Maso, Alessandro Maresca
wiley +1 more source
综合考虑影响水土流失的降雨量、土壤可蚀性、坡度、植被覆盖率、土壤流失容许量和保护因子等,笔者提出建立基于GIS和遥感技术的水土流失反演分析模型,实现水土流失的动态和快速监测预报.技术要点如下:1)遥感技术能实现高精度的植被覆盖率和土地利用现状制图,可满足中长期水土流失变化监测预报的数据要求.2)利用气象卫星数据可实现对雨量的短期预报监测,进而实现水土流失的短期快速预报和监测.3)在GIS支持下,利用土壤背景和数字地形模型可实现水土流失潜在可能性分析.4 ...
ZHANGDeng-rong(张登荣) +2 more
doaj +1 more source
We demonstrated that Anguilla japonica eDNA concentration was allometrically scaled with their body size in both the laboratory and riverine environments. Integrating body size allometry has the potential to improve population abundance estimates in the field, whereas further clarification is required for understanding eDNA production mechanisms ...
Toshiaki S. Jo +2 more
wiley +1 more source
基于潮汐表数据同化的天文潮数值预报模型及其模拟预报效果 [PDF]
[摘要]:潮汐表是利用长期潮汐观测结果经调和分析实现的主要港湾潮汐预报结果, 具有较高的预报 精度, 而通常的天文潮数值预报目前还难以达到潮汐表的预报精度. 本研究在建立常规天文潮数值 预报模型的基础上, 建立了基于潮汐表数据同化的天文潮数值预报模型, 并分别采用这2种模型预 报福建沿岸海域的天文潮. 其结果表明同化模型的预报结果无论是在潮时还是在潮高均明显优于 常规模型; 同化模型能显著地改善所研究的沿岸海域90个水位点中至少45个水位点的潮汐预报 结果, 而其他水位点的预报结果也有不同程度地改善 ...
商少平 +5 more
core
Added wave resistance prediction and comparative study based on point cloud feature extraction [PDF]
ObjectiveIn order to rapidly forecast added wave resistance in the ship design stage, this paper proposes a neural network based on point cloud feature extraction.
Dekang XU, Mingfeng WU, Renchuan ZHU
core +1 more source
Abstract As the coverage of area‐based conservation increases across the globe, it is critical to improve understanding of the social and ecological outcomes of such measures and the pathways to their outcomes. A social–ecological systems approach to monitoring and evaluation is increasingly advocated; yet, applications remain scarce.
Natalie C. Ban +21 more
wiley +1 more source
Neural network model based on hybrid algorithms and its application in runoff for ecasting [PDF]
为了提高径流预报的精度,采用一种基于粒子群和遗传的混合方法同时优化人工神经网络结构、连接权和偏置,在进化过程中采用训练样本和验证样本共享适应度技术,并以此建立径流预报模型。通过对柳州径流实例分析,并与离子群优化的人工神经网络模型、遗传进化的人工神经网络模型和时间序列模型方法对比,研究结果表明,该方法学习能力强、泛化性能高和有效提高系统预测的准确率,为获得更高预测精度的径流预报提供了一种有效的建模方法。In order to improve the accuracy of runoff ...
吴建生, 曾文华, 蒋林利
core
Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine [PDF]
Objective To establish a regression algorithm model that applies to bone age estimation of Xinjiang Uygur adolescents with machine learning methods such as histogram of oriented gradient (HOG), local binary patterns (LBP), support vector machine (SVM ...
LEI Yi-yang, SHEN Yu-shu, WANG Ya-hui,et al.
core +1 more source

