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An operational radar rainfall estimation system based on the adaptive radial basis function (RBF) neural network is developed. During the process of training and cross validation, the rainfall estimation was computed only at the gauge locations. Once the training is done, the radar rainfall estimation based on neural networks is applied to the full coverage area of the radar. Such large-scale application of the rainfall estimate poses several questions in the context of operational applications. This letter addresses two of those questions, namely: 1) the feasibility of adaptively updating RBF neural network models on a daily basis and 2) the ability of neural network radar rainfall estimation at high spatial resolution within reasonable and practical time frame for operational applications. Using the datasets collected by WSR-88D radar located in Melbourne, FL, it is demonstrated that radar-based rainfall estimation using an adaptive RBF neural network is feasible. The results show that 73% of overnight updating for the RBF neural network can be completed within 2 h, and the estimation over an area of 100 km/spl times/100 km can be generated within the time frame (a few tens of seconds-150 s), which is much smaller than the average radar volume scan time. 相似文献
115.
Xu Jianchu Ai Xihui Deng Xiqing 《International Journal of Applied Earth Observation and Geoinformation》2005,7(4):299-309
Over the last two decades, China has introduced a series of agricultural and forestland use reforms, aiming to feed the largest population in the world and maintain ecological services locally and nationally. This paper studies the impacts of local government-driven reforestation on land use and land cover change, as well as its further impacts on livelihoods of upland farmers in Xizhuang watershed. An analysis of aerial photographs and ASTER satellite imagery from 1987 to 2002, respectively, showed that the forest has significantly increased at the expense of decreasing farmland. However, the monoculture reforestation of pine has caused both biophysical and socio-economic consequences. This case study also shows forestry decentralization in China remains incomplete. Land use and land cover change is also a political economic issue. Some of the reforms designed to protect forest resources have had a negative impact on rural livelihoods. 相似文献
116.
新疆雷暴天气过程分型 总被引:5,自引:0,他引:5
对新疆39a雷暴天气资料的普查,得到367次雷暴天气过程,归结出4种天气形势,雷暴天气由冷锋和中尺度高压造成。 相似文献
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118.
四平地区生态地质环境的研究 总被引:1,自引:0,他引:1
通过对四平地区生态地质环境的调查,对该区水、土壤、大气、区域稳定性、生态资源、地层条件、放射性、矿藏、地方病、旅游地质及垃圾等进行环境现状综合评价。利用ISODATA模糊聚类分析法对该区的生态地质环境质量进行了分区。并利用面积加权法计算出该区的生态地质环境质量评价结果为中上等水平。 相似文献
119.
农牧交错带典型区农业与牧业用地互动关系研究 总被引:13,自引:0,他引:13
利用1989年和2000年的两期Landsat-TM数据和相关的统计资料以及气候数据,应用转移距阵和多元回归分析等研究方法,对地处典型农牧交错带地区的兴和县土地利用变化进行研究,结果表明:农田和草地是研究区域中最主要的土地利用类型,Landsat-TM卫星影像数据和统计数据比较一致地反映农田和草地面积的变化;农田和草地的相互转换率在各种用地相互转化中非常剧烈;农业与牧业用地的互动特征具有明显的区域差异;农业和牧业用地的互动特点是自然因素和社会经济因素同时影响的结果。 相似文献
120.
A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China 总被引:5,自引:0,他引:5
This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past
20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived
from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study
reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and
crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven
across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both
natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some
impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is
necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land
quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to
verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding
of LUCC and promote sustainable land use and land management.
This revised version was published online in July 2006 with corrections to the Cover Date. 相似文献