绿水的实证建模:以坦桑尼亚瓦米鲁武盆地为例

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引用次数: 0

摘要

绿水支撑着整个陆地环境,确保人类生存和获得食物。一直以来,自然资源的过度使用和损失导致了绿水的减少。绿水有效性的影响因子包括降水、温度、土地覆盖变化、人口增长、相对湿度和日照强度。它们在地方和全球一级的相互关系尚不清楚。基于Wami/Ruvu流域1990 ~ 2020年的现场观测数据,建立了线性多元回归模型和SWAT模型,并应用于流域2035年绿水可用性的估算与预测。研究结果表明:为实现流域可持续管理,流域可获得绿水,温度对绿水可得性的影响相对较大。考虑到温度的上升基本上是不受控制的,而且预计会超过正常的国际标准,建议投资使用绿色水资源,以确保粮食安全,因为温度的上升也会导致绿色水的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empirical modelling of green water: A case of wami ruvu basin, Tanzania
Green water supports the entire terrestrial environment, ensuring human survival and access to food. Overuse and loss of natural resources have led to a decline in green water throughout the time. The postulated causative factors of green water availability are precipitation, temperature, land cover changes, human population increase, relative humidity and sunshine intensity. Interrelationships between them at the local and global level is unknown. The study was done based on in-situ data observation from 1990 to 2020 in Wami/Ruvu Basin, and Linear Multiple Regression Model and SWAT Model were developed and applied to estimate and project green water availability in the basin by 2035. The study findings was that green water will be accessible in the basin for its sustainable management, and temperature has a comparatively greater impact in green water availability. Given that, temperature rise is mostly unchecked and is projected to climb over normal international standards, it is recommended to invest in the use of green water resources to ensure food security because a spike in temperature also results in an increase in green water.
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