施秉县牛大场太子参种植栽培的气候条件分析

利用施秉县牛大场中药材种植基地2004-08—2006-12两要素气象自动观测站所观测的气温和降雨资料,根据太子参种植生产所需的关键气象因素以及近10 a来的生产实践经验,详细分析研究了施秉牛大场太子参生产种植基地太子参生产的气候条件的优劣,得出了基地的光温水条件适宜于太子参的种植生产,自然的阴湿条件,有效地降低了太子参种植生产的产出投入比的结论。     

乌海葡萄种植气候条件及风险决策分析

通过对乌海地区气候特征与葡萄种植所需气候条件对比，统计分析了葡萄种植的有利气象条件和不利因素。结果表明乌海地区气候条件非常适宜葡萄种植。     

长期监测加拿大马铃薯种植区涕灭威残留物

6年期间，在使用涕灭威的马铃薯种植区域，总共对4眼浅水监测井进行了19次采样，定期分析了这些样品中的涕灭威亚砜、涕灭威砜、硝酸盐和不常见的离子、pH值、EH、溶解性氧以及碱度。地下水中农药残留物的浓度与农药使用的次数和水位埋深、地下水补给的测量等几方面都有关。该浓度与补给的相关性说明了不饱和带的储藏量。最后一次使用农药后的第4年，由于这种储藏现象：水、土壤的条件；特别低的温度，抑制了活性物质的水解。     

MODIS与TM冬小麦种植面积遥感测量一致性研究——小区域实验研究

针对大范围冬小麦种植面积遥感测量业务化运行中所存在的不同空间分辨率遥感影像的获取能力、空间分辨率与测量精度之间相互制约的现实问题,选择典型实验区,采取全覆盖的多时相低分辨率MODIS数据与中高分辨率TM样区数据相结合的方法,以支持向量机（SVM）为主要技术手段,通过选取不同比例的TM样本量,对MODIS进行混合像元分解,并对MODIS冬小麦测量结果与TM测量结果进行一致性分析,进而提出了一套可用于大范围冬小麦种植面积遥感测量业务化推广的识别和精度检验方法。研究结果表明：当TM样本量大于5%时,相对于TM识别结果而言,MODIS像元精度可以稳定在82%以上;当TM样本量大于40%时,区域精度可以稳定在97%。因此,从理论上讲,在实际业务化运行中,只要能够获得监测区40%的中高分辨率的影像,采用本研究提出的多尺度冬小麦种植面积测量方法,基本上可以满足业务化运行的精度要求。     

彰武甜菜生产与气象条件关系研究

彰武县自70年代初引种甜菜,至今已有20多年的栽培历史,目前甜菜已成为本县的一种重要经济作物,糖的产量约占全省的33％。由于甜菜生产受到种子、土壤、肥力、气候等诸多因素的不利影响,其产量、含糖率低而不稳。根据资料分析气象因子往往成为制约甜菜生产的重要因素,因此有必要对彰武甜菜生产与气象条件关系进行研究探讨。     

利用黔江气候资源 大力开发“两冬”

通过黔江地区的气候分析,得了该区夏旱少,尤其是适宜水稻移载是本区降水量最多的时期因此可利用这一资源优势,大力开发“两冬”,大放干冬水田,大办小春,使黔江小麦面积扩大近１倍,小麦粮食由的来仅占１／５提高到１／３,成为小麦、玉米、水稻三分天下的粮食生产局。     

安宁河流域西昌段以南溪区可大面积种植杂交稻

以汕优６３为代表的杂交稻在水利条件好的、采用保温育秧技术、培育多蘖壮秧、适时播种裁插,并且齐穗期安排在８月中旬前并加强栽培管理的稻区,即能最大程度地避免风险而获高产。     

Improving Indigenous Technologies for Sustainable Land Use in Northern Mountainous Areas of Vietnam

More than 30 ethnic groups are now living in northern mountainous regions, Vietnam, mainly relying on shifting cultivation with the fallow period being shortened from time to time. Naturally, soil fertility reduces from cycle to cycle, entailing the reduction of productivity. Large areas of moderately sloping lands suitable for upland agriculture have become bare after many cultivation-fallow cycles. The soils there have been severely degraded with more toxicity, low porosity, low water retention capacity and poor floral diversity. Normally, these lands cannot be used for food crop cultivation. So farmers in uplands have to rely on slash-and-burn practices for their livelihood. As there is no more forest with good soil in medium slopes, farmers go to cut forests in watershed, high slope lands and old forests up to the mountains‘ top. There are ecologically and environmentally very sensitive areas, so their destruction will inevitably cause hazardous consequences in the whole basin. Meanwhile,cultivation in these areas has low economic efficiency and sustainability because the crop yield may decrease very fast due to severe erosion as the higher the slope, the more serious erosion. Consequently living standards of highland farmers remain low and unstable. Sustainable farming on these lands in the perspective of a seriously deteriorated ecology and environmental is not an easy task. There have been many projects trying to help mountainous farmers get out of their vicious circle. However, due to different reasons, the results gained are low, and in some cases,things ceased to move after the projects phased out. During past few years, based on the farmer experiences, the Vietnam Agricultural Science Institute has cooperated with local and international partners to implement different projects in order to solve the problems by developing simple, easy and cheap cultivation technologies, which can be accepted and applied by local poor farmers for sustainable agricultural production. The first results of our activities offered good opportunities for sustain food production, improve soil health, recharge of aquifers,and enhanced household income for better rural lively hoods in the upland eco-regions of northern Vietnam.     

污泥丙烯酸吸水树脂性能试验及在榆林矿区植被恢复中的应用

水资源是影响榆林废弃矿区植被恢复的关键因素,污泥丙烯酸吸水树脂的保水特性有利于矿区植被恢复.通过试验方法研究污泥丙烯酸吸水树脂的性能及其对植物栽植的土壤含水率、植物株高、植物成活率的影响规律,并采用内梅罗指数法对复垦土壤进行质量评价.结果表明:污泥丙烯酸吸水树脂最大的吸水倍率为763.4 g/g;添加保水剂后土壤含水率...     

基于面向对象的山东省冬小麦种植面积监测

利用遥感技术,使用eCognition软件的面向对象分类技术,对RAPIDEYE卫星影像进行分类识别,从而快速、准确的监测小麦种植面积,为冬小麦财政补贴提供数据和技术支持。以兖州市为例,行政区面积6.501 9万hm2,小麦监测面积3.1715万hm2,小麦面积监测精度达到了90.5%。