基于GIS和RS的区域氧气生产量模拟——以哈尔滨市为例

随着对气候变化研究的深入,大气中氧气含量变化也应引起关注。本研究利用绿色植物光合作用产生有机碳和氧气的原理,通过模拟植物各级生产力,估算出区域氧气生产量。利用MODIS的GPP产品,通过投影转换、影像裁切等处理,与GIS融合,采用C-FIX模型估算区域NPP、NEP,实现区域氧气生产量的总量估算和空间分布。以哈尔滨市为例估算了2008年区域氧气生产量,主要结论如下：①2008年哈尔滨市生产净氧气量394423.95t,植物自养呼吸消耗占初始氧气生产量的30.787%,异养呼吸消耗占0.001%,初始氧气生产量越多,植物自养呼吸消耗和异养呼吸消耗也多;②哈尔滨市处于高寒地带,2-12月氧气生产量基本趋近于0,夏季最高,秋季略高于春季;③哈尔滨市各月及全年以阿城区氧气产量最多,呼兰区、松北区次之,主城区即南岗区、道里区、道外区、香坊区及平房区最低。本研究采用RS、GIS等技术,利用植物光合作用原理,实现了区域氧气生产日、月、年总量估算和空间分布变化,为区域氧气生产量的估算提出了新的思路,为研究大气中氧气含量的变化和评价人类生活环境质量提供了依据。

Study on the Estimation of Regional Oxygen Production：A Case Study in Harbin

With the recent advancement in climate change research,it is imperative to examine the dynamic of oxygen concentration in the atmosphere.This research,therefore,attempted to estimate the regional oxygen production by simulating various levels of plant productivities in Harbin,Heilongjiang Province,China,using the photosynthesis principle.In particular,the total amount and spatial distribution of oxygen production within Harbin were estimated using the net primary productivity(NPP) and net ecosystem productivity(NEP).The NPP and NEP,in turn,were estimated employing the C-FIX model with the help of MODIS Net Primary Production(NPP) product.Several conclusions can be drawn as follows.Firstly,in 2008,the total net oxygen production in Harbin was 394423.95 tons.For oxygen consumption,autotrophic respiration accounted for 30.787% of the initial oxygen production,and heterotrophic respiration consumption was negligible(0.001%).We also found that the more initial oxygen production was,the more consumption through plant respiration.Secondly,oxygen production in Harbin has distinct seasonal variations.The production is near zero in winter(from December to February),medium in autumn and spring(slightly higher in autumn),and highest in summer.Finally,oxygen production also has apparent spatial patterns.Within Harbin City,Acheng District has the highest monthly and annual oxygen production,followed by Hulan and Songbei districts,while the old districts,including Nangang,Daoli,Daowai,Xiangfang and Pingfang,have the lowest level.In summary,this paper estimated the daily,monthly,and annual net oxygen production and examined their spatial distribution dynamics by applying the photosynthesis principle with the help of remote sensing(RS) and geographic information system(GIS) technologies.This research proposed a new idea for regional oxygen production estimation,thus providing a basis for studying the dynamics of regional oxygen concentration,and evaluating regional environmental quality for supporting human life.