International Soil and Water Conservation Research最新文献

{"title":"Generation of runoff in an alpine meadow hillslope underlain by permafrost","authors":"","doi":"10.1016/j.iswcr.2024.01.004","DOIUrl":"10.1016/j.iswcr.2024.01.004","url":null,"abstract":"<div><div>Permafrost plays an important role in hydrological processes of alpine regions. The frost table in the active layer on the permafrost acts as an impermeable boundary and regulates water generation from hillslopes and its routing to streams. Past studies focused on modes or critical conditions of flow generation, rather than on the capacity of the active layer on the permafrost to recharge flow. This study aimed to characterize the role of supra-permafrost groundwater in the generation of runoff on hillslopes during the active layer thawing processes. The study focused on an alpine meadow permafrost hillslope located in the northeastern Tibet Plateau during the months of July and August in both 2021 and 2022. Hydrometeorological variables, including precipitation, air temperature, soil temperature, soil moisture, thaw depths, supra-permafrost groundwater level, and runoff generation were monitored in field. Partial Least Squares Path Modeling was selected to analyze the relations between the above variables. The results showed that infiltrated rainwater tended to move into deep thawed soil, following which the frozen layer forced horizontal transport along the hillslope. This indicated that thaw depths along the soil profile regulated the dominant runoff path. The accumulated precipitation of the previous days had a significant impact on runoff generation. There was minimal lateral subsurface flow when the saturated zone was absent, whereas lateral subsurface flow increased with increasing thickness of the saturated zone. Runoff generation on the hillslope was regulated by both thaw depths and the thickness of the saturated zone along the soil profile. This study can act as a reference for runoff generation processes of permafrost hillslopes.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 4","pages":"Pages 775-785"},"PeriodicalIF":7.3,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to comment by Daley et al., on “Assessing gully erosion and rehabilitation using multi temporal LiDAR DEMs: Case study from the Great Barrier Reef catchments, Australia”","authors":"Sana Khan,&nbsp;Rebecca Bartley,&nbsp;Anne Kinsey-Henderson,&nbsp;Aaron Hawdon","doi":"10.1016/j.iswcr.2024.01.003","DOIUrl":"10.1016/j.iswcr.2024.01.003","url":null,"abstract":"<div><p><span>Daley et al. (2023a)</span> argue that at least 10–15 years apart Digital Elevation Model (DEM) derived DEMs of Difference (DoD) surveys are needed to detect reliable geomorphic change within the gullied landscapes of the Great Barrier Reef, Australia. We acknowledge that the reliability of observed geomorphic change increases as more subtle geomorphic processes are detected with longer monitoring periods. As further good quality long-term legacy datasets become available, we encourage utilising these to improve confidence in targeting erosion rehabilitation. However, our approach to consistently apply 2–3 year DoDs to contrasting gully morphologies enabled capture of more intense geomorphic processes acting over shorter timeframes and provided valuable and timely information on (i) contrasting erosional mechanisms and erosion rates between variable gully morphologies, and (ii) rehabilitation efforts undertaken. In this paper, we take the opportunity to concisely address all the concerns raised by <span>Daley et al. (2023a)</span>.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 741-745"},"PeriodicalIF":7.3,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633924000030/pdfft?md5=3b0cf699169be34cc0fddb31225adb8d&pid=1-s2.0-S2095633924000030-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial evaluation of the agricultural suitability and land use compatibility in Europe's temperate continental climate region","authors":"","doi":"10.1016/j.iswcr.2024.01.002","DOIUrl":"10.1016/j.iswcr.2024.01.002","url":null,"abstract":"<div><div>Land suitability assessment is used in conjunction with geographic information systems to spatially model diverse aspects of soil functions, having the potential to facilitate a sustainable increase in agricultural production, reduce land degradation, or aid humans in adapting to climate change. Compared to the existing datasets, this study provides a new higher resolution geospatial assessment of the agricultural land suitability for several crops and land uses in the temperate continental climate across Europe. To model the land suitability we used geospatial data depicting seventeen eco-pedological indicators (e.g. soil texture, pH, porosity, temperature, precipitation, slope). To evaluate how the land is utilized, the suitability maps have been spatially cross-tabulated with a crop map. Over the entire study area, wheat and barley showed significant suitable land in the southern part, potatoes, and sugar beet exhibited the highest extent of suitable land in the northern parts, while corn and sunflower exhibited a much lower extent of suitable land. Water table depth, precipitation, temperature, terrain slope, soil porosity, SOC, and topsoil texture emerged as the limiting factors for agricultural suitability in the study area. Our results show that the suitable arable land does not have space left for the expansion of crops, however, we have identified regions with extensive cultivation of wheat and corn on unsuitable land with the potential for cultivation of more suitable crops such as barley, sunflower, sugar beet, and potato. It seems that one action that can enhance agricultural practices in the study area is to better allocate each cultivated crop across more suitable lands.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 4","pages":"Pages 908-919"},"PeriodicalIF":7.3,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New empirical-point pedotransfer functions for water retention data for a wide range of soil texture and climates","authors":"","doi":"10.1016/j.iswcr.2024.01.001","DOIUrl":"10.1016/j.iswcr.2024.01.001","url":null,"abstract":"<div><div>Knowing soil hydraulic properties is essential to support soil use and management practices; however, their measuring is commonly expensive and time-consuming. Thus, pedotransfer functions (PTFs) have been used to quantify physical properties such as the soil water retention curve (SWRC). SWRC relates the volumetric soil water content (<em>θ</em>) as a function of the matric potential (<em>h</em>) and plays a vital role in soil hydraulic modeling. Point-PTFs estimate key-points of the SWRC, often from measured texture, bulk density, and organic matter. This study aimed to formulate new point-PTFs to estimate <em>θ</em>(<em>h)</em> data ranging from <em>θ(-0.1 m)</em> to <em>θ(-150 m)</em> to be applied in subtropical, tropical and temperate soils. The PTF equations were derived from linear and non-linear regressions of measured soil physical properties against to the water retention data. The prediction performance of the new-formulated PTFs overcame the performance of already existing and widely-known PTFs recognized in the literature and can be, therefore, applied in soil water retention topics under a wider textural range.</div></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 4","pages":"Pages 855-867"},"PeriodicalIF":7.3,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139392772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information","authors":"José-Antonio Muñoz ,&nbsp;Gema Guzmán ,&nbsp;María-Auxiliadora Soriano ,&nbsp;José A. Gómez","doi":"10.1016/j.iswcr.2023.12.001","DOIUrl":"10.1016/j.iswcr.2023.12.001","url":null,"abstract":"&lt;div&gt;&lt;p&gt;Vegetative barriers have proven their effectiveness in controlling water erosion and enhancing other ecosystem services in agricultural areas. This characteristic has led to the conservation and promotion of vegetative barriers as landscape elements by the Common Agricultural Policy and other policy initiatives. Numerous reviews have dealt with the trapping efficiency of vegetated barriers, although they usually focus on studies from humid climates where their implantation and survival are more favourable. However, vegetated barriers are also an attractive alternative in arid and semi-arid climates. They limit competition for water and nutrients with crops to a reduced area compared to other best management practices, such as cover crops. This study presents a review of trapping efficiency of sediment, runoff, and nutrients (P and N) by vegetative barriers in regions of humid and arid, and semi-arid, climates, and a strategy based on sediment trapping efficiency probability, which in turn is based on the results obtained from our review. Different types of independent variables were grouped and identified for the review: related to the vegetative barrier dimension (buffer width, slope of the plot, and buffer area ratio), and related to the experimental conditions (type of vegetation in the buffer, soil protection of the non-buffered area, type of climate, type of experimental measurement and origin of rainfall). An exploratory analysis evaluated the significance of the experimental variables, which identified the need to focus on experiments under natural rainfall since those carried out with simulated rainfall presented statistically significant differences. In general, average trapping efficiencies for runoff and sediment were 40.1 and 62.6 %, respectively. For nutrients, values of trapping efficiencies had an average of 44.9 % for phosphorus and 38.4 % for nitrogen. Runoff and sediment trapping efficiency in arid and semi-arid regions tended to be higher than in humid regions. Regarding dimensional variables, a positive trend was observed in the runoff and sediment trapping efficiency with the width of the vegetative barrier, with a large variability across all the width range. Finally, based on the results of our review, we developed a probabilistic model for sediment trapping efficiency as a normalised cumulative probability distribution function for the two climatic regions separately. Also, we developed it as a function of the width of the vegetative barrier for each climatic region, to facilitate decision-making. This model shows that in 92 % of the cases, a vegetative barrier will reduce erosion in humid climates, while this trapping efficiency will be 100 % in semi-arid and arid conditions. This analysis showed that vegetative barriers are an alternative to other best management practices, e.g. cover crops, when there are operational or agronomic impediments to their implementation, having a high success rate in reducing erosion","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 615-634"},"PeriodicalIF":7.3,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923001120/pdfft?md5=5851056652bd041986eb547fe9aea8f4&pid=1-s2.0-S2095633923001120-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139024963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil loss and sedimentation rates in a subcatchment of the Yellow river Basin in China","authors":"Simon Scheper ,&nbsp;Chunyue Liu ,&nbsp;Zhongbao Xin ,&nbsp;Lishan Ran ,&nbsp;Christine Alewell","doi":"10.1016/j.iswcr.2023.11.008","DOIUrl":"10.1016/j.iswcr.2023.11.008","url":null,"abstract":"<div><p>Soil loss by water erosion is one of the main threats to soil health and food production in intensively used agricultural areas. To assess its significance to overall sediment production, we applied the Water and Tillage Erosion Model/Sediment Delivery model (WaTEM/SEDEM) to the Luoyugou catchment, a subcatchment of the Yellow River Basin within the Chinese Loess Plateau. WaTEM/SEDEM considers rill and interrill erosion and deposition rates to calculate the sediment yield rates leaving the catchment. Terraces were established in the 1990s to reduce soil loss in this area, but no soil erosion modeling has been published regarding the effect of this mitigation measure. Therefore, we applied 1000 Monte Carlo simulations of the WaTEM/SEDEM, and the modeled average soil loss by rill and interrill erosion for 2020 was 12.2 ± 0.5 t ha⁻¹ yr⁻¹, with a sediment yield at the outlet of 53,207.8 ± 11,244.1 t yr⁻¹. The results indicated that the terracing reduced gross soil loss rates (from 51.8 t ha⁻¹ yr⁻¹ in 1986 to 12.2 ± 0.5 t ha⁻¹ yr⁻¹ in 2020), while land cover changes, mainly the conversion of forests and grassland, partly counteracted the mitigation (combined effect: 76% reduction). Modeled sediment loads by rill and interrill erosion accounted for 22.8% of the total long-term sediment production recorded by flow discharge measurements. Other processes not considered by the model, such as landslides, gully erosion, riverbank erosion, and sediment production by construction, seem to predominantly influence the overall sediment yield. Considering years with baseline sediment production only, the measured and modeled sediment yields compared favorably, indicating that the latter processes primarily contribute during extreme events.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 534-547"},"PeriodicalIF":7.3,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923001028/pdfft?md5=be2892aec3ecf6b06c6abd8c57f83270&pid=1-s2.0-S2095633923001028-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138627371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A validation of WEPP water quality routines in uniform and nonuniform agricultural hillslopes","authors":"Ryan P. McGehee ,&nbsp;Dennis C. Flanagan ,&nbsp;Bernard A. Engel ,&nbsp;John E. Gilley","doi":"10.1016/j.iswcr.2023.11.005","DOIUrl":"10.1016/j.iswcr.2023.11.005","url":null,"abstract":"<div><p>Current watershed-scale, nonpoint source pollution models do not represent the processes and impacts of agricultural best management practices on water quality with sufficient detail. A Water Erosion Prediction Project-Water Quality (WEPP-WQ) model was recently developed which is capable of simulating nonpoint source pollutant transport in nonuniform hillslope conditions such as those with BMPs. However, WEPP-WQ has not been validated for these conditions, and prior validation work only evaluated calibrated performance rather than uncalibrated performance, with the latter being most relevant to model applications. This study evaluated uncalibrated and calibrated model performance in two plot-scale, artificial rainfall studies. 179 observations were compared to corresponding WEPP-WQ simulations of runoff, sediment yield, and soluble and particulate nutrient forms for both nitrogen and phosphorus. Uncalibrated validation results were mixed for the different field conditions, model configurations, and prediction variables. Nash-Sutcliffe Efficiencies for uncalibrated simulations of uniform conditions were generally greater than 0.6 except for soluble nitrogen predictions which were poor. Simulations of nonuniform conditions were generally ‘unsatisfactory’ except for runoff predictions which were quite good (NSE = 0.78). Performance was improved substantially for almost all endpoints with calibration. Some exceptions to this occurred because the objective function for calibration was based on log-space differences so as to more equally-weight calibration of unsaturated conditions that tend to produce lesser runoff volumes and sediment yields. Calibrated results for both uniform and nonuniform conditions were generally ‘satisfactory’ or ‘good’ according to widely accepted model performance criteria.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 487-505"},"PeriodicalIF":7.3,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923000990/pdfft?md5=e8415fab023ba6b1fb95bf5d8ff478a0&pid=1-s2.0-S2095633923000990-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139296096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving maize residue cover estimation with the combined use of optical and SAR remote sensing images","authors":"Yiwei Zhang,&nbsp;Jia Du","doi":"10.1016/j.iswcr.2023.11.006","DOIUrl":"10.1016/j.iswcr.2023.11.006","url":null,"abstract":"<div><p>Conservation tillage is an important conservation measure for arable land in modern agricultural production, which plays an essential role in protecting black soil and improving the quality of arable land. The estimation of maize residue cover (MRC) can be used to obtain the spatial distribution characteristics of conservation tillage, which is essential for government departments to promote conservation tillage technology and understand the implementation of it. In this paper the southern part of the Songnen Plain was used as the study area, and Sentinel-2 MSI images and Sentinel-1 SAR images were used as data sources to correlate the spectral indices and radar backscatter coefficients with the field sampling data in the study area. The MRC estimation model of the study area was constructed using the Random Forest (RF) model, the Multiple Linear Stepwise Regression (MLSR) model, and Back Propagation Neural Network (BPNN) model, respectively. The results of the study showed that the correlation coefficients of normalized difference tillage index (NDTI), simple tillage index (STI), normalized difference index (NDI5), NDI7, shortwave infrared normalized difference residue index (SINDRI), normalized difference senescent vegetation index (NDSVI), normalized difference residue index 2 (NDRI2), NDRI3, NDRI4, NDRI5, NDRI6, NDRI7, NDRI8, NDRI9, and MRC in the study area were greater than 0.4, and the correlation coefficients were higher for NDTI and STI, which reached 0.861 and 0.860, respectively. The correlation coefficient between VV and MRC was 0.56 and between VH and MRC was 0.594. We used MLSR, RF, and BPNN methods in combination with Sentinel-2 MSI images and Sentinel-1 SAR images for MRC estimation. The synergistic use of Sentinel-2 MSI images and Sentinel-1 SAR images helped to improve the accuracy of the MRC estimation models and the correlation coefficient R² of all three models to greater than 0.8. Based on the statistical analysis of remote sensing estimation results, we found that the average value of the MRC of the maize growing areas in Changchun, Siping, and eastern Songyuan in November 2020 was 66%, and 2% of farmland in the study area had a MRC of less than 30%.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 578-588"},"PeriodicalIF":7.3,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923001004/pdfft?md5=19ddb1a988f08cd0dcdc8135a2048e96&pid=1-s2.0-S2095633923001004-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139295467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divergent shift of normal alpine meadow exacerbated soil loss of hillslope alpine meadows based on field experiments","authors":"Yulei Ma ,&nbsp;Yifan Liu ,&nbsp;Yunyun Ban ,&nbsp;Jingxue Zhao ,&nbsp;Zhihua Shi ,&nbsp;Gaolin Wu","doi":"10.1016/j.iswcr.2023.11.007","DOIUrl":"10.1016/j.iswcr.2023.11.007","url":null,"abstract":"<div><p>Global climate change and overgrazing are driving shifts in the plant composition of grassland communities, which may profoundly affect the function of grassland ecosystems in regulating runoff and soil erosion. Here, we examined the shift effects of normal hillslope alpine meadow to shrub and severely degraded meadow states on runoff and sediment generation under natural rainfall conditions, and determined the contributions of plant and soil properties changes to soil erodibility, runoff and sediment generation by in situ rainfall experiment and monitoring on the hillslope of Qinghai-Tibetan Plateau. The results showed that normal meadow shift into severely degraded meadow state, mean weight diameter, soil saturated hydraulic conductivity, soil cohesion and soil erodibility K-factor at the topsoil decreased by 70.3%, 73.1%, 80.3% and −13.1%, respectively, and when normal meadows shift into shrub meadow state, they reduced by 49.1%, −1.3%, 49.4%, and −8.3%, respectively. Runoff and soil loss significantly changed by - 40.0% and 177.8% when normal meadow shifted into a severely degraded meadow state, while runoff and soil loss significantly changed by + 65.0% and +77.8% when normal meadow shifted into a shrub meadow state. Our findings highlight that the two divergent shifts both increased soil loss compared to the normal hillslope alpine meadows. Overall, our results indicate that the divergent shifts of normal alpine meadows exacerbated soil erodibility and soil loss of hillslope alpine meadows. These results obtained here offer a novel perspective on the regulation of runoff and soil erosion in the alpine meadow ecosystem.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 3","pages":"Pages 565-577"},"PeriodicalIF":7.3,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923001016/pdfft?md5=76fe92c4ee577d4bd00f2d20c1ef30cf&pid=1-s2.0-S2095633923001016-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139292394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An artificial neural network emulator of the rangeland hydrology and erosion model","authors":"Mahmoud Saeedimoghaddam ,&nbsp;Grey Nearing ,&nbsp;Mariano Hernandez ,&nbsp;Mark A. Nearing ,&nbsp;David C. Goodrich ,&nbsp;Loretta J. Metz","doi":"10.1016/j.iswcr.2023.11.002","DOIUrl":"10.1016/j.iswcr.2023.11.002","url":null,"abstract":"<div><p>Machine learning (ML) is becoming an ever more important tool in hydrologic modeling. Previous studies have shown the higher prediction accuracy of those ML models over traditional process-based ones. However, there is another advantage of ML which is its lower computational demand. This is important for the applications such as hydraulic soil erosion estimation over a large area and at a finer spatial scale. Using traditional models like Rangeland Hydrology and Erosion Model (RHEM) requires too much computation time and resources. In this study, we designed an Artificial Neural Network that is able to recreate the RHEM outputs (annual average runoff, soil loss, and sediment yield and not the daily storm event-based values) with high accuracy (Nash-Sutcliffe Efficiency ≈ 1.0) and a very low computational time (13 billion times faster on average using a GPU). We ran the RHEM for more than a million synthetic scenarios and train the Emulator with them. We also, fine-tuned the trained Emulator with the RHEM runs of the real-world scenarios (more than 32,000) so the Emulator remains comprehensive while it works specifically accurately for the real-world cases. We also showed that the sensitivity of the Emulator to the input variables is similar to the RHEM and it can effectively capture the changes in the RHEM outputs when an input variable varies. Finally, the dynamic prediction behavior of the Emulator is statistically similar to the RHEM.</p></div>","PeriodicalId":48622,"journal":{"name":"International Soil and Water Conservation Research","volume":"12 2","pages":"Pages 241-257"},"PeriodicalIF":6.4,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095633923000965/pdfft?md5=5409e200116145056d08bd0bf6c11788&pid=1-s2.0-S2095633923000965-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139300253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}