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Analysis of forest watershed impact by climate change in Kangwon province

机译:康龙省气候变化森林流域影响分析

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Due to the heat wave and heavy rain caused by climate change, the importance of managing water resources in the forest is increasing. Forest watershed function can increase the clean water. In addition, it can prevent drought and flood damage and supply public and agricultural water. This study found out correlation about variables such as Potential Evapotranspiration(PET), Land surface Temperature(LST), Temperature(Temp), and Precipitation(Prep), by the impact of climate change on the water supply of forests by utilizing remote sensing data. This study is aimed at Gangwon province in July from 2016 to 2018. Increase in temperature, decrease in precipitation or change in pattern of precipitation cause increase in evapotranspiration, decrease in soil moisture and water quality, and the change of watershed. Potential evapotranspiration(PET) can be calculated using only the highest, lowest, and average temperature by Hargreaves function which is known to accurate equation. Land surface Temperature(LST) is calculated by data acquired by Earth Observation (EO) data. Temperature, Precipitation, PET, and LST were analyzed by R which is is a free software environment for statistical computing and graphics. The result is that correlation analysis between each variables was found that ET, LST, Temperature had a negative correlation, and ET and prep had a positive correlation. Based on this study, the relationship between water and forest will be analyzed, and through systematic management of forests and water, the agriculture-water-forest nexus will be able to be expanded to the effect of agriculture on them. Finally, this study can be carried out come up with measurement to analyze synergy and tradeoff.
机译:由于气候变化引起的热浪和大雨,管理森林水资源的重要性正在增加。森林流域功能可以增加清水。此外,它还可以防止干旱和洪水损害,供应公共和农业水。本研究发现,由于利用遥感数据,气候变化对森林供水的影响,诸如潜在蒸散(PET),陆地温度(PET),陆地表面温度(LST),温度(温度)和降水(PREP)等变量的相关性。本研究旨在于2016年7月至2018年7月省长。升温,降水量减少或降水模式的变化导致蒸散量增加,土壤水分和水质降低,以及流域的变化。潜在的蒸发(PET)可以仅使用Hargreaves功能的最高,最低和平均温度计算,该功能是已知的准确等式。陆地温度(LST)由地球观察(EO)数据获取的数据计算。通过R分析温度,降水,宠物和LST,这是用于统计计算和图形的自由软件环境。结果是发现每个变量之间的相关性分析,ET,LST,温度具有负相关性,并且ET和PREP具有正相关性。基于这项研究,将分析水与森林之间的关系,通过森林和水的系统管理,农业 - 森林Nexus将能够扩大到农业对它们的影响。最后,可以进行这项研究来提出测量来分析协同作用和权衡。

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