Efficient detection of ephemeral gully trajectories using topographic index-based approach: Calibration-free for large-scale applications

IF 3.5 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
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Abstract

In agricultural landscapes, the use of topographic index (TI) models has been common to predict the presence and extent of ephemeral gullies (EGs). However, these models face two significant challenges: (1) the accurate prediction of EGs relies heavily on a critical threshold (CT) value, which is difficult to determine optimally using existing strategies, and (2) the calibration of TI models limits their applicability on a larger scale. To address these limitations, the current study proposes two methods: (1) the division of the study area into zones based on key factors influencing gully formation, reducing the need for TI model calibration, and (2) a pixel-based binary classification approach coupled with a precision performance metric to identify the calibrated CT value within a watershed. The performance of seven TI models for predicting EG length was evaluated using local validation within zones and transferred validation between zones. Local validation demonstrated that among the TI models, modified stream power index (MSPI), stream power index (SPI), and compound topographic index (CTI), in descending order, yielded the most accurate predictions for EG length. Furthermore, the decrease in accuracy observed in the transferred MSPI model compared to the local MSPI model supported the study's hypothesis that dividing a large-scale area into distinct zones with varying topographic and climatic characteristics enables the determination of a CT value specific to each zone. Soil loss rates due to EGs ranged from 0.36 to 1 kg/m2 yr, aligning with findings from similar global studies. These findings offer valuable insight that can be integrated into comprehensive watershed and soil erosion models.

使用基于地形索引的方法高效检测短时沟谷轨迹:大规模应用无需校准
在农业景观中,使用地形指数(TI)模型来预测短时沟壑(EGs)的存在和范围已十分普遍。然而,这些模型面临两个重大挑战:(1) EG 的准确预测在很大程度上依赖于临界阈值 (CT),而使用现有策略很难优化确定临界阈值;(2) TI 模型的校准限制了其在更大范围内的适用性。针对这些局限性,本研究提出了两种方法:(1) 根据影响沟谷形成的关键因素将研究区域划分为若干区域,从而减少对 TI 模型校准的需求;(2) 基于像素的二元分类方法与精确性能指标相结合,以确定流域内的校准 CT 值。通过区域内的局部验证和区域间的转移验证,对七个 TI 模型预测 EG 长度的性能进行了评估。局部验证表明,在 TI 模型中,从高到低依次为修正溪流动力指数 (MSPI)、溪流动力指数 (SPI) 和复合地形指数 (CTI),它们对 EG 长度的预测最为准确。此外,与当地的 MSPI 模型相比,在转移的 MSPI 模型中观察到的精确度下降支持了该研究的假设:将大面积区域划分为具有不同地形和气候特征的不同区域,可以确定每个区域的特定 CT 值。EGs 造成的土壤流失率在 0.36 至 1 公斤/米/年之间,与全球类似研究的结果一致。这些研究结果提供了宝贵的见解,可用于综合流域和土壤侵蚀模型。
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来源期刊
International Journal of Sediment Research
International Journal of Sediment Research 环境科学-环境科学
CiteScore
6.90
自引率
5.60%
发文量
88
审稿时长
74 days
期刊介绍: International Journal of Sediment Research, the Official Journal of The International Research and Training Center on Erosion and Sedimentation and The World Association for Sedimentation and Erosion Research, publishes scientific and technical papers on all aspects of erosion and sedimentation interpreted in its widest sense. The subject matter is to include not only the mechanics of sediment transport and fluvial processes, but also what is related to geography, geomorphology, soil erosion, watershed management, sedimentology, environmental and ecological impacts of sedimentation, social and economical effects of sedimentation and its assessment, etc. Special attention is paid to engineering problems related to sedimentation and erosion.
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