YAN Sijia,CHAO Yunshu,PAN Hui,et al.Process Dynamic Analysis and Risk Assessment of Rainfall and Flood in Yongchun County Based on the Source-Sink Landscape[J].Research of Soil and Water Conservation,2023,30(04):286-292.[doi:10.13869/j.cnki.rswc.2023.04.047.]
基于“源—汇”景观的永春县雨洪过程动态分析与风险评估
- Title:
- Process Dynamic Analysis and Risk Assessment of Rainfall and Flood in Yongchun County Based on the Source-Sink Landscape
- 文章编号:
- 1005-3409(2023)04-0286-07
- Keywords:
- rain flood process; source-sink landscape; minimum cumulative resistance model; Yongchun County
- 分类号:
- X443
- 文献标志码:
- A
- 摘要:
- [目的]探究雨洪过程中不同降雨重现期下“源—汇”景观的时空动态演变特征,并生成雨洪灾害分布格局,从而为“源—汇”景观单元规划与区域雨洪灾害预防提供科学参考。[方法]以永春县景观因子指标数据为基础,引入可反映格局与过程关系的景观“源—汇”理论,基于最小累积阻力模型从景观因子阻力与径流动力平衡关系的角度重新划分“源”“汇”景观。[结果]永春县初始“源”景观空间分布整体特征为“中部最高、西高东低”,且集中在戴云山脉附近,易成为山体径流的源头。永春县在自然排水状态下,易转化为“源”景观的土地利用类型排序为:草地>耕地>建设用地>林地>未利用地。草地一直具有较强的“源”作用,耕地在降雨重现期大于10年后“源”作用增强,建设用地与林地在降雨重现期小于20年时吸收雨水的能力较好,超过20年后建设用地的“源”作用偏强,林地的“汇”作用偏强,未利用地的“源”作用几乎无变化,其吸收雨水的能力有待后续的验证。当降雨重现期为100年时,永春西北部雨洪灾害风险较大,高风险区多集中在一都镇、桂洋镇、东关镇,需重点防患。[结论]永春县雨洪灾害受到西北部山体径流影响,未来应从降低“源”景观、增加“汇”景观的角度深入研究。
- Abstract:
- [Objective] The spatio-temporal dynamic evolution characteristics of the source-sink landscape under different rainfall return periods in the process of rainfall and flood was explored, and the distribution pattern of rainfall and flood disasters was generated, so as to provide scientific reference for the source-sink landscape unit planning and regional rainfall and flood disaster prevention. [Methods] Based on the landscape factor index data of Yongchun County, the landscape source-sink theory that can reflect the relationship between pattern and process was introduced. Based on the minimum cumulative resistance model, the source sink landscape was redefined from the perspective of the balance between landscape factor resistance and runoff dynamics. [Results] The overall characteristics of the initial source landscape space of Yongchun County were the highest in the central region, high in the west, low in the east, which concentrated near the Dai yun Mountains, and was easy to become the source of the runoff of the mountain. Under the state of natural drainage, Yongchun County was easily converted into the source landscape land use type sorting: grassland>cultivated land>construction land>forest land>unused land; grassland always had a strong source effect. The source effect of cultivated land was enhanced after the rainfall return period was greater than 10 years. The construction land and forest land had better ability to absorb rainwater when the rainfall return period was less than 20 years. After 20 years, the source function of the construction land was stronger, while the sink function of the forest land was stronger. The source function of the unused land was almost unchanged, and its ability to absorb rainwater needs to be verified later. When the return period of rainfall is 100 years, the risk of rain and flood disasters in the northwest of Yongchun was relatively high. High risk areas mainly concentrated in Yidu Town, Guiyang Town and Dongguan Town, which need to focus on disaster prevention. [Conclusion] The rain flood disaster in Yongchun County is affected by the mountain runoff in the northwest. In the future, it should be further studied from the perspective of reducing the source landscape and increasing the sink landscape.
参考文献/References:
[1] 魏依柯,曹丹,徐若萱,等.韧性视角下雨洪管理体系建设的国际经验[C]//面向高质量发展的空间治理:2020中国城市规划年会论文集(01城市安全与防灾规划).成都:中国城市规划学会、成都市人民政府,2021.144-156.
[2] 吴海瑾,翟国方.我国城市雨洪管理及资源化利用研究[J].现代城市研究,2012,27(1):23-28.
[3] Liu Qianhui, Cui Wenhui, Tian Zhan, et al. Stormwater management modeling in “Sponge City” construction: current state and future directions[J]. Frontiers in Environmental Science, 2022,9:1-16.
[4] 林小如,曹韵.我国城市雨洪管理困境解析与行动应对[J].现代城市研究,2014,29(7):14-18.
[5] Seiler R A, Hayes M, Bressan L. Using the standardized precipitation index for flood risk monitoring[J]. International Journal of Climatology, 2002,22(11):1365-1376.
[6] 黄国如,罗海婉,卢鑫祥,等.城市洪涝灾害风险分析与区划方法综述[J].水资源保护,2020,36(6):1-6,17.
[7] 刘东海,张双双.基于熵AHP和D数理论的洪涝灾害风险评估[J].统计与决策,2017,33(20):52-55.
[8] 王倩雯,曾坚,辛儒鸿.基于GIS多准则评价与BP神经网络的暴雨洪涝灾害风险辨识:以闽三角地区为例[J].灾害学,2021,36(1):192-200.
[9] 李超超,田军仓,申若竹.洪涝灾害风险评估研究进展[J].灾害学,2020,35(3):131-136.
[10] Liu S, Crossman N D, Nolan M, et al. Bringing ecosystem services into integrated water resources management[J]. Journal of Environmental Management, 2013,129:92-102.
[11] Gober P. Getting outside the water box:the need for new approaches to water planning and policy[J]. Water Resources Management, 2013,27(4):955-957.
[12] 陈利顶,傅伯杰,赵文武.“源”“汇”景观理论及其生态学意义[J].生态学报,2006,26(5):1444-1449.
[13] 陈利顶,傅伯杰,徐建英,等.基于“源—汇”生态过程的景观格局识别方法:景观空间负荷对比指数[J].生态学报,2003,23(11):2406-2413.
[14] 田仁伟,赵翠薇,贺中华,等.“源—汇”景观理论的研究综述[J].贵州科学,2019,37(3):24-29.
[15] 黄宁,王红映,吝涛,等.基于“源—汇”理论的流域非点源污染控制景观格局调控框架:以厦门市马銮湾流域为例[J].应用生态学报,2016,27(10):3325-3334.
[16] 王金亮,谢德体,倪九派,等.基于源汇景观单元的流域土壤侵蚀风险格局识别[J].生态学报,2017,37(24):8216-8226.
[17] Mouquet N, Loreau M. Community patterns in source-sink metacommunities[J]. the American Naturalist, 2003,162(5):544-557.
[18] 李丽光,许申来,王宏博,等.基于源汇指数的沈阳热岛效应[J].应用生态学报,2013,24(12):3446-3452.
[19] 王志芳,程可欣.北运河流域雨洪“源—汇”景观时空演变[J].生态学报,2019,39(16):5922-5931.
[20] 许申来,周昊.景观“源、汇”的动态特性及其量化方法[J].水土保持研究,2008,15(6):64-67,71.
[21] 徐才华,刘德和,朱艺,等.基于精细化观测的永春县降水分布特征研究[J].海峡科学,2018,34(8):46-50.
[22] 黄超,唐南奇,张黎明,等.基于CA-Markov模型的永春县景观格局动态模拟[J].福建农林大学学报:自然科学版,2011,40(5):535-539.
[23] 刘晨.基于GIS的晋江流域洪灾风险评价研究[D].福州:福建师范大学,2010.
[24] 严秋怡,张凯云.基于“源—汇”模型理论的城市雨洪管理研究[J].城市建筑,2019,16(12):67-69.
[25] 谭华清,张金亭,周希胜.基于最小累计阻力模型的南京市生态安全格局构建[J].水土保持通报,2020,40(3):282-288,296.
[26] 洪步庭,任平.基于最小累积阻力模型的农村居民点用地生态适宜性评价:以都江堰市为例[J].长江流域资源与环境,2019,28(6):1386-1396.
[27] 刘帆.基于最小累计模型耕地面源污染源—汇风险格局分析[D].重庆:西南大学,2018.
[28] 韩旭,田培,黄建武,等.基于2009—2018年径流小区观测数据的武汉市土壤侵蚀因子定量评价[J].生态学报,2021,41(10):3878-3890.
[29] 吴汉美,段国凡,李春娥.洪涝灾害后城镇景观长距离输水系统水文风险评估[J].灾害学,2021,36(2):43-46,78.
备注/Memo
收稿日期:2022-08-15 修回日期:2022-09-16
资助项目:国家自然科学基金项目(31200365); 福建农林大学林学高峰学科建设项目(72202200205)
第一作者:闫思嘉(1997—),女,河南洛阳人,硕士研究生,研究方向:区域分析与规划。E-mail:yansj2022@163.com
通信作者:巫丽芸(1977—),女,福建光泽人,副教授,研究方向:景观生态学。E-mail:lywu2001@163.com