Located in the upstream of the Tuntang Watershed in Indonesia, Rawa Pening catchment is a significant watershed, recognized as one of the nation’s priority watersheds. Evaluating the catchment’s sustainability relies on its water yield, a crucial determinant in guaranteeing a steady water supply, thereby enhancing water security. This study aims to achieve the following objectives: 1.) To utilize the InVEST model for the estimation of temporal water yield potential within the Rawa Pening Catchment Area from 2018 to 2022, 2.) To assess the accuracy of the InVEST model in temporally estimating water yields within the Rawa Catchment Area, and 3.) To investigate the spatial distribution and characteristics of water yield in the Rawa Pening Catchment Area between 2018 and 2022.The results of the study demonstrate significant trends: The peak rate of flow was recorded in November 2022, reaching 645.87 mm/month, and the minimum rate was seen in July 2018, measuring only 0.82 mm/month. The model calibration shows a substantial correlation value of 0.95, a PMARE Index of 12.84%, and a determination coefficient of 0.9011. Despite minor variations, the InVEST model’s accuracy remains substantial due to the high interconnectivity of variables. Various elements, including rainfall patterns, land use practices, soil hydrological characteristics, and threshold flow accumulation, influence the spatial dynamics of quick flow.

中文翻译：

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使用 InVEST 进行季节性产水量建模，加强流域管理（案例研究：Rawa Pening 集水区）

拉瓦彭宁流域位于印度尼西亚通唐流域上游，是一个重要的流域，被认为是国家优先流域之一。评估流域的可持续性取决于其产水量，这是保证稳定供水、从而增强水安全的关键决定因素。本研究旨在实现以下目标： 1.) 利用 InVEST 模型估算 2018 年至 2022 年拉瓦彭宁流域内的时间产水潜力， 2.) 评估 InVEST 模型在时间估算方面的准确性3.) 调查 2018 年至 2022 年间拉瓦彭宁集水区水量的空间分布和特征。研究结果显示出显着的趋势：峰值流量记录于2022 年 11 月，达到 645.87 毫米/月，最低速率出现在 2018 年 7 月，仅为 0.82 毫米/月。模型校准显示显着相关值为 0.95，PMARE 指数为 12.84%，决定系数为 0.9011。尽管存在微小差异，但由于变量的高度互连性，InVEST 模型的准确性仍然很高。多种因素，包括降雨模式、土地利用实践、土壤水文特征和阈值流量积累，影响快速流量的空间动态。