Response and Prediction of Runoff to Land Use Change in Kuye River Basin Based on SWAT and PLUS Models

YANG Zhiyong; NIU Jianzhi; FAN Dengxin; ZHANG Zhuopei; DU Zhou; ZHAO Chunguang

doi:10.13870/j.cnki.stbcxb.2024.01.028

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Response and Prediction of Runoff to Land Use Change in Kuye River Basin Based on SWAT and PLUS Models

更新时间：2025-03-12

- Response and Prediction of Runoff to Land Use Change in Kuye River Basin Based on SWAT and PLUS Models
- Vol. 38, Issue 1, Pages: 289-299(2024)
- 作者机构：
  
  1. 北京林业大学水土保持学院, 水土保持国家林业和草原局重点实验室,北京,100083
  2. 林业生态工程教育部工程研究中心,北京,100083
  3. 鄂尔多斯市水旱灾害防御技术中心,内蒙古,鄂尔多斯,017000
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2024.01.028
  CLC： P333.5
- Published：2024
- 稿件说明：
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YANG Zhiyong, NIU Jianzhi, FAN Dengxin, et al. Response and Prediction of Runoff to Land Use Change in Kuye River Basin Based on SWAT and PLUS Models[J]. 2024, 38(1): 289-299.
DOI：

YANG Zhiyong, NIU Jianzhi, FAN Dengxin, et al. Response and Prediction of Runoff to Land Use Change in Kuye River Basin Based on SWAT and PLUS Models[J]. 2024, 38(1): 289-299. DOI： 10.13870/j.cnki.stbcxb.2024.01.028.

摘要

[目的] 为揭示窟野河流域径流对土地利用变化的响应

并预测未来径流变化。[方法] 以窟野河流域为研究区

基于SWAT和PLUS模型

通过2000年、2005年、2010年、2015年、2020年和预测得到的自然发展情景下2025年、2030年7期土地利用数据

定量分析径流在不同土地利用情景下的变化。[结果] (1)SWAT模型率定期和验证期的R2和NS均＞0.7;PLUS模型总体精度为0.877 4

Kappa系数为0.802 1

2个模型在窟野河流域适用性较好;(2)2000—2020年

窟野河流域林地、建设用地面积分别增加102.92

600.90 km2

耕地、草地、水域和未利用地分别减少277.15

366.25

40.44

19.98 km2;(3)窟野河流域年平均径流深整体呈现"上游低

下游高

西部低

东部高"的空间分布格局;(4)在保证其他输入数据不变的情况下

改变土地利用数据

情景分析结果表明

林地、草地面积减少会促进径流

建设用地面积增加同样会促进径流;(5)自然发展情景下

2025年和2030年窟野河流域土地利用空间分布格局未发生显著变化

仍以耕地和草地为主

年平均径流量较2020年分别增加3.21%

5.00%。[结论] 土地利用与径流变化关系密切

情景分析角度下

林地、草地对径流起抑制作用

建设用地对径流起促进作用。未来自然发展情景下

随土地利用变化

径流呈增加态势

研究结果可为窟野河流域的土地利用结构优化和水土资源的合理规划提供科学依据。

Abstract

[Objective] The study is aimed at revealing the response of runoff to land use change in the Kuye River Basin and predicting future runoff change. [Methods] Taking the Kuye River Basin as the study area

based on the SWAT and PLUS models

the changes of runoff under different land use scenarios were quantitatively analyzed by using the land use data of 2000

2005

2010

2015

2020 and the data of 2025 and 2030 that were predicted from the natural development scenario. [Results] (1) The R2 and NS of the SWAT model during the periodic and validation periods were greater than 0.7. The overall accuracy of PLUS model was 0.877 4

and the Kappa coefficient was 0.802 1. The two models had good applicability in the Kuye River Basin. (2) From 2000 to 2020

forest land and construction land increased by 102.92 and 600.90 km2

respectively

while cultivated land

grassland

water area

and unused land decreased by 277.15

366.25

40.44 and 19.98 km2

respectively. (3) The average annual runoff depth in the Kuye River Basin presented a spatial distribution pattern of "lower in the upper reaches

higher in the lower reaches

lower in the west

and higher in the east". (4) Changing land use data while ensuring that other input data remains unchanged

the results of scenario analysis showed that the decrease of forest land and grassland area would promote runoff

and the increase of construction land area would also promote runoff. (5) Under the natural development scenario

there was no significant change in the spatial distribution pattern of land use in the Kuye River Basin in 2025 and 2030

and the land use was still dominated by cultivated land and grassland

with the average annual runoff increasing by 3.21% and 5.00%

respectively

compared with 2020. [Conclusion] There was a close relationship between land use and runoff change. From the perspective of scenario analysis

forest land and grassland inhibited runoff

while construction land promoted runoff. Under the future natural development scenario

runoff increased with land use change. The research could provide scientific basis for the optimization of land use structure and rational planning of water and soil resources in the Kuye River Basin.

关键词

Keywords

references

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