基于 InVEST 模型的山东省水资源产量预测

Yushan Li, Huawei Chen, Fulin Li, Long Jiang, Jian Zhang
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摘要

更好地了解土地利用变化和气候变化对水资源产量的影响对于水资源规划和可持续管理非常重要。对山东省近年来的土地利用变化进行了分析。应用 PLUS 模型预测了 2032 年的土地利用布局,并根据实际情况和 CMIP6 的各种降水和实际蒸散情景进行了调整。利用 InVEST 模型在网格和行政尺度上对 2032 年的产水量进行了量化,并分析了其时空特征和空间相关性。研究结果揭示了几个关键点:第一,耕地面积减少了 16.92%,草地和未利用土地面积呈减少趋势;建设用地面积增加了 33.92%,森林和水域面积有所增加。其次,山东省的产水量自东南向西北递减,年际变化显著。第三,未来预测表明,在平水年,年产水量普遍增加,与内陆地区相比,近海地区的产水深度更大。预计日照的产水深度最高,而滨州和东营的产水深度最低,两者在空间上呈正相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water yield forecast in Shandong Province based on InVEST model
A better understanding of the effects of land use change and climate change on water yield is highly important for water resource planning and sustainable management. Land use changes in Shandong Province were analyzed over recent years. The PLUS Model was applied to forecast the land use layout for 2032, with adjustments made based on actual conditions and utilizing various CMIP6 scenarios for precipitation and actual evapotranspiration. The 2032 Water Yield was quantified using the InVEST Model at both grid and administrative scales, and its temporal-spatial characteristics and spatial correlation were analyzed. The findings revealed several key points: first, a decrease of 16.92% in arable land area, along with diminishing trends in grassland and unused land, and an increase of 33.92% in built-up land area, accompanied by growth in forest and water area. Second, the water yield decreases from southeast to northwest in Shandong Province, with significant inter-annual variations. Third, future predictions suggest that the annual water yield generally increases during flat water years, with offshore areas exhibiting greater water yield depth compared to inland areas. Rizhao is projected to have the highest water yield depth, while Binzhou and Dongying are expected to have the lowest depths, with a spatially positive correlation between them.
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