InVEST model-based estimation of water yield in the Upper Tuul river basin

Munkhtur Purevsuren, Tseveengerel Batnyam
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引用次数: 0

Abstract

The estimation and mapping of water yield are of significant importance to the effective planning and management of water resources in Mongolia. In this study, we quantified and assessed the water yield of the Upper Tuul River basin using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Water yield model. The study aimed to test whether it is possible to estimate the water yield of the selected research area using the model. The required input data included land use and land cover, mean annual precipitation and potential evapotranspiration, soil depth, and plant available water content. In addition, those data were obtained from Landsat 8, Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), MODIS Global Terrestrial Evapotranspiration Product (MOD16), and International Soil Reference and Information Centre (ISRIC) database. Finally, we generated spatial distribution maps, namely, mean actual evapotranspiration (mm), mean water yield (mm), and the volume of water yield (km3) by pixel within the research area. According to the modelling results, the estimated value for mean annual precipitation was 295.08 mm, and 827.09 mm respectively for potential evapotranspiration, 229.13 mm for average actual evapotranspiration, 55.89 mm and 0.43 km3 for water yield within the study area. The result was slightly higher (15.1 mm) in terms of mean actual evapotranspiration compared to the results of previous studies, conducted in the same research area, and it was found that the potential water yield in the study area has also been impacted. However, the InVEST (Water Yield) model can be used for future research studies concerning water yield and resource in river basins as it is possible to further improve the model results by using in-situ measurement data and satellite products with high spatial accuracy as input data.
基于InVEST模型的上图尔河流域水量估算
水量估算与制图对蒙古水资源的有效规划与管理具有重要意义。本研究采用生态系统服务综合评价与权衡(InVEST)水量模型对上图尔河流域水量进行了量化评价。本研究旨在检验是否有可能使用该模型来估计所选研究区域的水量。所需的输入数据包括土地利用和土地覆盖、年平均降水量和潜在蒸散量、土壤深度和植物有效水分含量。此外,这些数据来自Landsat 8,气候危害组红外降水与站数据(CHIRPS), MODIS全球陆地蒸散发产品(MOD16)和国际土壤参考和信息中心(ISRIC)数据库。最后,以像元为单位生成研究区内平均实际蒸散量(mm)、平均产水量(mm)和产水量(km3)的空间分布图。根据模拟结果,研究区年平均降水量为295.08 mm,潜在蒸散量为827.09 mm,平均实际蒸散量为229.13 mm,产水量为55.89 mm, 0.43 km3。研究区平均实际蒸散量(15.1 mm)略高于以往在同一研究区进行的研究结果,研究区潜在水量也受到了影响。但是,InVEST (Water Yield)模型可以用于未来流域水量和资源的研究,因为可以使用高空间精度的原位测量数据和卫星产品作为输入数据进一步改进模型结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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