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CAS IR Grid
机构
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
地球化学研究所 [1]
烟台海岸带研究所 [1]
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OAI收割 [4]
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会议论文 [3]
期刊论文 [1]
发表日期
2019 [1]
2013 [1]
2010 [2]
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基于生态系统服务价值的赤水河流域生态补偿标准核算
期刊论文
OAI收割
农业机械学报, 2019, 期号: 11, 页码: 312-322
作者:
田义超
;
白晓永
;
黄远林
;
张强
;
陶进
;
张亚丽
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2020/09/01
以赤水河流域2000、2010、2015年的气象数据、遥感数据、土壤类型、地质背景以及社会经济等数据为基础,采用固碳释氧模型、修正的通用土壤流失方程以及in Vest水源涵养模型定量评估了流域的生态系统服务价值总量,同时采用生态补偿计量模型计算了流域不同区域的生态补偿额度,确定了流域的补偿标准和生态补偿优先级别。结果表明:2000—2015年赤水河流域单位面积固碳释氧价值量、土壤保持价值量以及水源涵养价值量均呈先增加后减少倒"v"形结构。固碳释氧价值由2000年的4 279. 33元/(Hm~2·a)上升到2010年的4 520. 16元/(Hm~2·a),随后下降到2015年的4 409. 69元/(Hm~2·a)
土壤保持价值量由2000年的95. 11元/(Hm~2·a)上升到2010年的144. 45元/(Hm~2·a),之后下降到2015年的89. 03元/(Hm~2·a)
水源涵养价值量由2000年的23 938. 13元/(Hm~2·a)上升到2010年的35 232. 99元/(Hm~2·a),之后下降到2015年的20 167. 41元/(Hm~2·a)。喀斯特地区固碳释氧价值总量增加的速度是非喀斯特地区的4. 35倍,喀斯特地区土壤保持价值量和水源涵养价值量的下降速度分别是非喀斯特地区的1. 28倍和1. 59倍。流域多年平均生态补偿价值为4 626. 29元/(Hm~2·a),生态补偿价值总量为76. 23亿元,流域下游补偿价值量最大,而上游地区补偿价值量较小。流域上游地区的喀斯特地区以及下游的原始森林地区属于典型的生态输出地区,应优先得到补偿,而经济发达的中游地区经济发展活跃,应率先进行生态支付,属于典型的生态消费区。本研究结果与以往的基于价值当量的生态补偿模型相比,在栅格像元尺度上量化了流域不同地区的生态补偿标准,可为长江上游赤水河流域生态补偿模式、运行机制以及补偿的标准提供科学依据。
The study on the changing characteristics and their countermeasures for China's carbon emissions in 2000-2010
会议论文
OAI收割
Remote Sensing and Modeling of Ecosystems for Sustainability X, San Diego, CA, United states, August 26, 2013 - August 29, 2013
Wang, Qiuxian(1,2,4)
;
Gao, Zhiqiang(1,3)
;
Ning, Jicai(1)
;
Lu, Qing-Shui(1)
;
Shi, Runhe(3)
;
Gao, Wei(3)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2015/08/10
Ecosystems
2000-2010
Carbon emissions
characteristics
China
variation
Design of multispectral remote sensing image compression system (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
作者:
Xu S.-Y.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/03/25
In order to get the higher compression quality of multispectral remote sensing image
which taken the JPEG2000 as the standard
used FPGA and special compression chip ADV212 to realize the remote sensing image compression system is proposed. The system used the specialty compression chip ADV212 which is newly relaesed by Analog Device company. It used to develop fast high-quality compression for the large amount of remote sensing image data. The system realized the image data's input
the compression stream's output
the image preprocessing as well as to control the ADV212 chip's working pattern through FPGA. The experiment result shows that this system which has such characteristics as low power consumption. low cost and easy adjustmen and has a good compressing effect. Meet the requirement of the multispectral remote sensing image's high compression ratio. 2010 IEEE.
Land use dynamics and landscape change pattern in Hetao irrigation district, Inner Mongolia, China
会议论文
OAI收割
6th International Symposium on Digital Earth: Data Processing and Applications, Beijing, China, September 9, 2009 - September 12,2009
Zhang, Yinhui
;
Luo, Yi
;
Zhao, Wenwu
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2014/12/07
This study analyzed spatial and temporal changes in land use in an irrigation district covering an area of 1.7 million ha in Northern China by GIS analyses and also investigated changes in landscape pattern using the landscape structure analysis program FRAGSTATS over the study period from 1986 to 2000. The decreases in farmland and the increases in grassland area mainly resulted from the policy of grain for green and converting slope farmland into pasture from China government. In spite of the efforts to conserve the fragile ecosystem
the land degradation
including soil salinization and grassland degradation
was spreading rapidly. The area of alkali-saline land increased by 22493 ha and about 50555 ha of dense grassland degraded into mid-density grassland. In terms of landscape fragmentation
both farmland and dense grassland showed the tendency of increased fragmentation. Both adverse natural conditions and human activities are responsible for the land degradation expansion in Hetao irrigation district
but the root causes are increasing population pressure and irrational human activities
such as flooding irrigation method and over-grazing. To prevent land degradation from spreading
population control and improvement of the management are prerequisite approaches. 2010 SPIE.