[1]魏文杰,袁 利,李文龙,等.县域尺度风力侵蚀栅格计算结果落地研究[J].水土保持研究,2023,30(04):42-46,52.[doi:10.13869/j.cnki.rswc.2023.04.031.]
　WEI Wenjie,YUAN Li,LI Wenlong,et al.Study on the Grid Calculation Results of Wind Erosion at County Scale[J].Research of Soil and Water Conservation,2023,30(04):42-46,52.[doi:10.13869/j.cnki.rswc.2023.04.031.]
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县域尺度风力侵蚀栅格计算结果落地研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 30 期数: 2023年04期 页码: 42-46,52 栏目: 出版日期: 2023-06-10
Title:
Study on the Grid Calculation Results of Wind Erosion at County Scale
文章编号:
1005-3409(2023)04-0042-05
作者:
魏文杰1, 袁 利2, 李文龙1, 刘卓昊1, 高睿瑜1, 张荣华1, 毛玉磊3
(1.山东泰山森林生态系统国家定位研究站/山东农业大学 林学院, 山东 泰安 271018; 2.淮河水利委员会 淮河流域水土保持监测中心站, 安徽 蚌埠 233001; 3.山东水文水环境科技有限公司, 济南 250014)
Author(s):
WEI Wenjie1, YUAN Li2, LI Wenlong1, LIU Zhuohao1, GAO Ruiyu1, ZHANG Ronghua1, MAO Yulei3
(1.Shandong Taishan Forest Ecosystem National Positioning Research Station/College of Forestry, Shandong Agricultural University, Tai'an, Shandong 271018, China; 2.Huaihe River Basin Soil and Water Conservation Monitoring Center of Huaihe River Water Conservancy Commission, Bengbu, Anhui 233001, China; 3.Shandong Hydrology and Water Environment Technology Co., Ltd., Jinan 250014, China)
关键词:
黄泛平原风沙区;  耕地风力侵蚀模型;  栅格;  地块
Keywords:
Yellow River alluvial area;  wind erosion model of cultivated land;  grid;  plot
分类号:
S157.1
DOI:
10.13869/j.cnki.rswc.2023.04.031.
文献标志码:
A
摘要:
[目的]探讨基于栅格侵蚀数据确定风力侵蚀地块的状况,为县域尺度侵蚀计算和水土流失栅格计算结果落地等工作提供参考。[方法]以黄泛平原风沙区河南省兰考县为例,基于耕地风力侵蚀模型,采用栅格计算和软件判断方法,结合野外验证,探讨县域尺度风力侵蚀栅格计算结果落实到地块的状况。[结果](1)栅格计算的兰考县耕地风力侵蚀面积为125.91 km2,涉及1 259 128个栅格,侵蚀模数集中分布在200～400 t/(km2·a)。(2)软件判断法统计的耕地风力侵蚀面积为125.08 km2,涉及2 284个地块,侵蚀模数集中在200～400 t/(km2·a); 超过50%流失比例的地块占风力侵蚀地块总数的96%,100%流失比例的地块面积分布在0.000 04～0.6 km2。(3)在面积相对误差上,软件判断法与栅格计算法相对误差为0.66%,城关镇最大,达136.50%,张君墓镇最小,为0.56%; 在空间分布上,软件判断法比栅格计算法聚集度指数高、离散程度低,空间分布集中、连续性强。(4)野外验证中,34个风力侵蚀地块强度与软件判断法相符,一致率为68%。[结论]在控制耕地地块面积的前提下,软件判断法将栅格计算风力侵蚀结果落实到地块方法可行,结果基本合理。
Abstract:
[Objective] This paper discusses the situation of determining wind eroded land plot based on grid erosion data, providing reference for county scale erosion calculation and soil erosion grid calculation results landing. [Methods] Lankao County, Henan Province, in the Yellow River alluvial area was taken as an example. Based on the wind erosion model of cultivated land, grid calculation and software judgment method combined with field verification were used to explore the implementation of grid calculation results of wind erosion at county scale to plots. [Results](1)The wind erosion area of cultivated land in Lankao County was 125.91 km2, involving 1 259 128 grids, and the erosion modulus concentrated in the range of 200 t/(km2·a)and 400 t/(km2·a).(2)The wind erosion area of cultivated land calculated by software judgment method was 125.08 km2, involving 2 284 plots, and the erosion modulus concentrated between 200 t/(km2·a)and 400 t/(km2·a). The plots with more than 50% in loss proportion accounted for 96% of the total plots eroded by wind, and the plots with 100% in loss proportion ranged from 0.000 04 km2 to 0.6 km2.(3)In terms of area relative error, the relative error of software judgment method and grid calculation method was 0.66%, the relative error for Chengguan Town was the largest(136.50%), and the relative error for Zhangjunmu Town was the smallest(0.56%). In the spatial distribution, the software judgment method had higher aggregation index and lower dispersion degree than the grid calculation method, and the spatial distribution was concentrated and continuous.(4)In the field validation, the intensity of 34 wind-erosion plots was consistent with the software judgment method, with an agreement rate of 68%. [Conclusion] Under the premise of controlling the land area of cultivated land, the software judgment method was feasible and reasonable to implement the results of wind erosion calculated by grid into the land area.

参考文献/References:

[1] 王晓艺,苏正安,马菁,等.基于风力侵蚀模型的张家口市风力侵蚀时空分布特征[J].草业科学,2020,37(7):1405-1415.
[2] 赵辉,黎家作,李晶晶.中国水土流失动态监测与评价的现状与对策[J].水土保持通报,2016,36(1):115-119.
[3] 梁晓珍,符素华,丁琳.地形因子计算方法对土壤侵蚀评价的影响[J].水土保持学报,2019,33(6):21-26.
[4] 戴海伦,金复鑫,张科利.国内外风力侵蚀监测方法回顾与评述[J].地球科学进展,2011,26(4):401-408.
[5] 李智广,邹学勇,程宏.我国风力侵蚀抽样调查方法[J].中国水土保持科学,2013,11(4):17-21.
[6] 中华人民共和国水利部.土壤侵蚀分类分级标准SL190—2007[S].北京:中国水利水电出版社,2008.
[7] 水利部水土保持监测中心.2020年度水土流失动态监测技术指南[R].北京:水利部,2020.
[8] 邹海天,李子轩,张彩云.基于栅格像元和矢量地块的区域土壤侵蚀计算结果对比分析:以怀来县外井沟小流域为例[J].海河水利,2020(4):16-19.
[9] 宋胜明,刘霞,张荣华,等.黄泛风沙区耕地土壤风力侵蚀影响因子的通径分析[J].水土保持通报,2017,37(3):249-253.
[10] 袁利,张春强,张芷温,等.淮河流域黄泛平原风沙区水土流失格局[J].中国水土保持,2019(12):10-13.
[11] 高睿瑜,张芷温,李文龙,等.2018—2019年河南省兰考县土地利用变化对耕地风蚀的影响[J].水土保持通报,2021,41(1):112-117,124.
[12] 刘晓君,李占斌,李鹏,等.基于土地利用/覆被变化的流域景观格局与水沙响应关系研究[J].生态学报,2016,36(18):5691-5700.

相似文献/References:

[1]姬生勋,刘玉涛,董智,等.黄泛平原风沙区不同造林年限林地土壤风蚀与理化性质的变化[J].水土保持研究,2011,18(03):158.
　JI Sheng-xun,LIU Yu-tao,DONG Zhi,et al.Variations of Wind Erosion and Soil Physicochemical Properties in Artificial Afforestation with Different Years in Yellow River Flood Plain[J].Research of Soil and Water Conservation,2011,18(04):158.

备注/Memo

收稿日期:2022-04-03 修回日期:2022-06-29
资助项目:淮河水利委员会项目(SBJ-2020-010); 山东省自然科学基金(ZR2020MD023)
第一作者:魏文杰(1998—),女,山东淄博人,硕士研究生,研究方向为水土保持监测与评价。E-mail:17854337075@163.com
通信作者:张荣华(1984—),女,山东威海人,博士,副教授,主要从事水土保持监测与评价。E-mail:zrhua5766@163.com

更新日期/Last Update: 2023-06-10