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基于SSPs-USLE耦合的未来气候情景下鄱阳湖流域土壤侵蚀研究
Soil Erosion in Poyang Lake Basin under Future Climate Scenarios Based on SSPs-USLE Coupling
随着气候变化,鄱阳湖流域的降雨也发生一定改变,对土壤侵蚀产生潜在影响。通过对共享社会经济路径(SSPs)和通用土壤流失方程(USLE)耦合,建立了未来时期气候影响下土壤侵蚀模拟方法。结果显示:在时间上,未来时期鄱阳湖流域土壤侵蚀面积减少,但土壤侵蚀量增多。SSPs2-4.5、SSPs4-6.0、SSPs5-8.5情景下侵蚀面积分别减少906、916、912 km2/a;土壤侵蚀量分别增加2 022.60×104 、2 098.61×104 、3 154.35×104 t/a。在空间上,未来时期西北部和南部强烈及以上侵蚀面积增加,流域整体土壤侵蚀加剧。SSPs5-8.5情景下流域土壤侵蚀最严重,土壤侵蚀量达17 247.61×104 t/a;SSPs2-4.5情景下流域土壤侵蚀相对最少,土壤侵蚀量为16 115.86×104 t/a。
[Objective] Under the influence of climate change, the rainfall pattern in the Poyang Lake Basin has changed, potentially affecting local soil erosion and subsequently threatening water and ecological security in the basin. However, current research on soil erosion within the basin mostly focuses on historical periods, with relatively limited research on future soil erosion predictions. The lack of clarity regarding future soil erosion dynamics under climate scenarios constrains local soil and water conservation planning and erosion management. To address this gap, future soil erosion predictions are conducted for the Poyang Lake Basin to elucidate its spatiotemporal evolution characteristics under climate change impacts, thereby providing scientific references for local soil and water conservation planning and soil erosion management. [Methods] The SSPs-USLE coupled model at the Poyang Lake Basin scale was developed by integrating the Shared Socioeconomic Pathways (SSPs) and the Universal Soil Loss Equation (USLE) in this study. Tailored to the specific conditions of the Poyang Lake Basin, the SSPs-USLE coupled model was applied to simulate soil erosion both during the historical period (2000-2022) and under three future climate scenarios (SSPs2-4.5, SSPs4-6.0, and SSPs5-8.5) for the period 2030-2060. Through statistical and comparative analysis of the results, the spatiotemporal evolution characteristics of soil erosion under different future scenarios were elucidated. The underlying causes were further analyzed based on existing literature, thereby providing targeted measures and recommendations. [Results] Temporally, the total area affected by soil erosion in the Poyang Lake Basin was projected to decrease in the future, while the total soil erosion volume was expected to increase. Specifically, under the SSPs2-4.5, SSPs4-6.0, and SSPs5-8.5 scenarios, the soil erosion area decreased by 906 km2/a, 916 km2/a, and 912 km2/a, respectively, predominantly occurring in areas with slight intensity erosion. Meanwhile, the total soil loss increased by 2 022.60×104 , 2 098.61×104 and 3 154.35×104 t/a under the same scenarios, mainly affecting areas with moderate or lower erosion intensity. Spatially, the northeast of Poyang Lake Basin in the historical period exhibited severe soil erosion, with a higher proportion of areas classified as strongly eroded or above. In the future, the northwestern and southern regions would experience a significant expansion of strongly eroded or above areas, leading to a more severe overall soil erosion problem in the basin. Among the different socioeconomic scenarios, the SSPs5-8.5 scenario resulted in the most severe soil erosion within the basin, with a total soil erosion volume of 17 247.61 × 104 t/a. The overall erosion intensity shifted from moderate to strong, indicating substantial pressure for future soil erosion control. In contrast, under the SSPs2-4.5 scenario, the basin experienced the least soil erosion, with a total soil erosion volume of 16 115.86×104 t/a. The overall erosion intensity transitioned from moderate to mild, suggesting lower pressure for subsequent soil erosion control. [Conclusion] Future soil erosion in the Poyang Lake Basin is predicted by developing an SSPs-USLE coupled model at the watershed scale, thereby addressing a critical data gap in future soil erosion in this region. The model results show that with the impact of climate change, soil erosion within the Poyang Lake Basin will exhibit an intensifying trend in the future, particularly with increased erosion volumes at areas with slight to moderate erosion intensities. This phenomenon is predominantly attributed to terrain and rainfall, with significant exacerbation concentrated primarily in localized heavy rainfall centers and mountainous/hilly terrain. Besides, among the three future scenarios, the SSPs2-4.5 scenario has the lowest degree of soil erosion deterioration in the watershed, which is a more desirable outcome for the future. Based on this, the local soil erosion control work should be taken seriously, and attention should be paid to addressing slight-to-moderate soil erosion areas in the Poyang Lake Basin. Multiple measures should be implemented in coordination to alleviate the impact of climate change on soil erosion in the basin, and promote social development towards SSPs2-4.5 or even better scenarios.
土壤侵蚀 / 气候变化 / 时空分布 / SSPs / USLE / 鄱阳湖流域
soil erosion / climate change / spatiotemporal distribution / SSPs / USLE / Poyang Lake Basin
| [1] |
陈起伟, 熊康宁, 兰安军. 基于GIS技术的贵州省土壤侵蚀危险性评价[J]. 长江科学院院报, 2020, 37(12): 47-52, 66.
针对目前喀斯特区土壤侵蚀潜在危险度研究相对薄弱的现状,以典型喀斯特区贵州省为研究对象,获取研究区土地利用类型、岩性、基岩裸露率等专题因子。基于地理信息系统(GIS)技术,在非喀斯特区和喀斯特区分别采用《土壤侵蚀分类分级标准》和《岩溶地区水土流失综合治理技术标准》解译出研究区土壤侵蚀强度等级分布图。并根据土壤允许流失量和土壤抗蚀年限,利用土壤侵蚀潜在危险度指数(SEPDI)对贵州省土壤侵蚀潜在危险度进行评价,为喀斯特区土壤侵蚀防治提供参考。结果显示:贵州省水土流失面积为47 831.73 km<sup>2</sup>,以轻度侵蚀为主,侵蚀模数为341 t/(km<sup>2</sup>·a),SEPDI为2.52,潜在危险等级较高。贵州25.3%行政村的SEPDI位于2~3之间,其中六盘水、黔西南市和毕节市危险度最高,建议将水土流失防治工作纳入SEPDI指标而非单从水土流失强弱等级进行治理,特别加强对SEPDI高但水土流失等级弱的区域的关注。
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Research on the potential danger of soil erosion in karst area is weak at present. We interpreted the soil erosion intensity in Guizhou Province, a typical karst region, with land use, lithology, and base rock coverage as semantic factors by Geological Information System(GIS) according to <i>Standards for classification and gradation of soil erosion </i>and <i>Techniques standard for comprehensive control of soil erosion and water loss in karst region. </i> Furthermore, we assessed the potential danger of soil erosion in Guizhou by using the soil erosion potential danger index (SEPDI) based on the allowable soil loss value and the soil anti-erosion life. Results suggest that the area of soil and water loss in Guizhou has amounted to 47 831.73 km<sup>2</sup>, dominated by light erosion, with an erosion modulus of 341 t / (km<sup>2</sup>·a) and a SEPDI of 2.52, indicating high level of potential danger. The SEPDI of 25.3% of villages in Guizhou ranges between 2 and 3, among which Liupanshui, Qianxinan, and Bijie feature the highest risk.We recommend that prevention work should be incorporated into SEPDI rather than merely soil erosion degree, and special attention needs to be given to areas with high SEPDI but weak soil erosion levels.
|
| [2] |
郭家力, 郭生练, 郭靖, 等. 鄱阳湖流域未来降水变化预测分析[J]. 长江科学院院报, 2010, 27(8): 20-24.
(
The observed precipitation series from thirteen national weather stations during 1961 to 2001 and NCEP reanalysis data were used to establish a statistical downscaling model in the Poyang Lake basin. The output data of HadCM3 under A2 and B2 scenarios were inputted to automatically statistical downscaling model to predict the future precipitation change during 2010-2039, 2040-2069, 2070-2099 periods. The results show that the precipitation will increase in the most area of the Poyang Lake basin, and maximum increase rate can reach 11.15% in the end of this century.
|
| [3] |
|
| [4] |
蔡崇法, 丁树文, 史志华, 等. 应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J]. 水土保持学报, 2000, 14(2): 19-24.
(
|
| [5] |
魏健美, 李常斌, 武磊, 等. 基于USLE的甘南川西北土壤侵蚀研究[J]. 水土保持学报, 2021, 35(2):31-37,46.
(
|
| [6] |
|
| [7] |
郑衍欣, 李双林, 何源. 共享社会经济路径(SSPs)下未来30年长江流域夏季降水预估[J]. 大气科学, 2023, 47(5): 1405-1420.
(
|
| [8] |
孔锋, 孙劭. 基于SSPs的未来全球陆地极端降水强度的空间分异特征预估[J]. 灾害学, 2021, 36(4): 107-112, 118.
(
|
| [9] |
温姗姗, 王智晨, 翟建青, 等. 基于N-CMIP6的长江流域气温和降水未来预估[J]. 人民长江, 2024, 55(8): 69-78.
(
|
| [10] |
原立峰, 杨桂山, 李恒鹏, 等. 基于GIS和USLE的鄱阳湖流域土壤侵蚀敏感性评价[J]. 水土保持通报, 2013, 33(5): 196-201, 209, 309.
(
|
| [11] |
方玉杰, 万金保, 孙善磊, 等. 鄱阳湖生态经济区小流域土壤侵蚀模拟[J]. 环境科学与技术, 2014, 37(7): 167-172.
(
|
| [12] |
谭永滨, 谢剑亮, 冉江华, 等. 基于RUSLE的鄱阳湖流域土壤侵蚀时空特征及影响因素分析[J]. 西南大学学报(自然科学版), 2023, 45(9): 46-56.
(
|
| [13] |
刘纪根, 丁文峰, 黄金权. 长江流域水土保持科学研究进展及展望[J]. 长江科学院院报, 2021, 38(10): 54-59.
自20世纪80年代以来,长江流域水土保持科学研究取得了重要进展,为了解流域水土流失现状、制定水土保持政策与规划及实施水土保持防治提供了科学依据。当前,我国正处于推进生态文明建设的关键时期,系统总结长江流域水土保持科学研究发展历程、基础理论重点与亮点及水土保持关键技术、科研平台建设等取得的成果。但总体来看,长江流域水土保持科学研究还比较薄弱,理论研究还落后于水土保持实践。通过明确今后的研究重点,即土壤侵蚀动力学机制及其过程、水土保持措施防蚀机理及其适用性、退化生态系统的修复机理及其技术研发、重大生态治理工程生态过程及其效应评价,对于加强科技创新,推进流域水土保持事业发展具有重要意义。
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Since the 1980s, notable progress has been made in scientific research of water and soil conservation in the Yangtze River Basin, providing scientific evidence to understanding the current situation of soil erosion in the basin, formulating soil and water conservation policy and planning, and implementing soil and water conservation. At present, China is in the crucial period of promoting the construction of ecological civilization. In view of this, we sum up the development process of soil and water conservation research, the key points and highlights of basic theory and key technology, as well as the construction of scientific research platform in the Yangtze River Basin. But overall, the scientific research foundation of soil and water conservation in the Yangtze River Basin is still relatively weak, the theoretical research still lags behind the practice of soil and water conservation. By clarifying future research priorities, that is, the dynamic mechanism and process of soil erosion, erosion prevention mechanism and applicability of soil and water conservation measures, restoration mechanism and technology research and development of degraded ecosystem, ecological process and effectiveness evaluation of major ecological treatment projects, our research would be of great significance to strengthening science and technology innovation and promoting the development of soil and water conservation in the Yangtze River Basin.
|
| [14] |
师哲, 张亭, 高华斌. 鄱阳湖地区流域水土流失特点研究初探[J]. 长江科学院院报, 2008, 25(3): 38-41.
(
Water and soil loss in Poyanghu Lake basin has brought serious disasters. On the basis of the historical and current water and soil loss situation, the paper narrates the characteristics, the erosion types and the spatial distributions of the water and soil loss, and expounds their formation causes and influencing factors. In combination with the different water soil loss regions where there are different erosion types and different erosion strengths, the corresponding countermeasures are respectively presented.
|
| [15] |
何长高, 刘茂福, 张利超, 等. 江西省水土流失治理历程及成效[J]. 中国水土保持, 2017(8): 10-14.
(
|
| [16] |
姜彤, 吕嫣冉, 黄金龙, 等. CMIP6模式新情景(SSP-RCP)概述及其在淮河流域的应用[J]. 气象科技进展, 2020, 10(5):102-109.
(
|
| [17] |
|
| [18] |
|
| [19] |
章文波, 付金生. 不同类型雨量资料估算降雨侵蚀力[J]. 资源科学, 2003, 25(1): 35-41.
降雨侵蚀力反映气候因素-降雨对土壤侵蚀的潜在作用能力,由于次降雨资料难以获得,一般利用气象站整编降雨资料评估计算降雨侵蚀力的结果进行对比分析,结果表明以日雨量计算多年平均侵蚀力的精度最高,而在4种采用月或年雨量的模型中尽管以逐年月雨量模型表现相对最好,但这4种模型之间差别不明显。同时在降雨量较丰富地区,各类型雨量资料估算侵蚀力的精度也相对较高。
(
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
顾朝军, 朱永清, 李仁华, 等. 鄱阳湖流域降雨侵蚀力变化及其对入湖悬移质输沙量的影响[J]. 水土保持学报, 2021, 35(6): 45-54.
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