Suppr超能文献

基于五个气候区的案例研究,对新鲜藻类养殖的需水量和水足迹评估的变异性和不确定性。

Variability and uncertainty in water demand and water footprint assessments of fresh algae cultivation based on case studies from five climatic regions.

机构信息

School of Engineering and Advanced Technology, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.

出版信息

Bioresour Technol. 2013 Jan;128:317-23. doi: 10.1016/j.biortech.2012.10.096. Epub 2012 Nov 1.

Abstract

Using case studies from five typical climatic locations, this study revealed that current quantification of water demand (WD) and water footprint (WF) of freshwater algae cultivation in raceway ponds suffer from uncertainty and variability in the methodologies and assumptions used. Of particular concern, the WF metric had an intrinsically poor geographical resolution and could be biased towards high-productivity arid locations because local levels of water stress are not accounted for. Applying current methodologies could therefore cause the selection of locations that are neither economically viable nor environmentally sustainable. An improved methodology should utilize more accurate evaporation models, determine realistic limits for the maximum hydraulic retention times and process water recycling ratios, and apply weighting to the WF to reflect localized water stress or use an alternative metric such as the equivalent years of rainfall required to support a productivity of 1G J m(-2).

摘要

本研究通过来自五个典型气候地点的案例研究表明,目前在对跑道式池塘中淡水藻类养殖的水需求(WD)和水足迹(WF)进行量化时,所使用的方法和假设存在不确定性和变异性。特别值得关注的是,WF 指标的地理分辨率本来就很差,而且由于没有考虑当地的水资源压力水平,它可能偏向于高生产力的干旱地区。因此,应用当前的方法可能会导致选择既不经济可行又不环境可持续的地点。一种改进的方法应该利用更准确的蒸发模型,确定最大水力停留时间和工艺水循环比的实际限制,并对 WF 进行加权,以反映当地的水资源压力,或者使用等效降雨量年数等替代指标来支持 1G J m(-2)的生产力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验