1. 研究目的与意义
背景：生态环境部于2022年4月印发了《环境影响评价技术导则—生态影响》（HJ 19-2022），针对生态保护修复措施等提出相关要求，明确和细化了相关技术内容，进一步指导和规范生态影响评价工作，助力遏制生态形式主义。 “十四五”时期，生态环境质量改善进入了由量变到质变的关键时期，面向更加艰巨复杂的污染防治攻坚任务，面向日新月异的现代科技发展，监测服务供给、体制机制、基础能力还存在诸多短板和挑战，一些新兴领域和关键环节的监测支撑薄弱甚至空白，亟需进一步巩固和拓展。
目的：本课题研究以《环境影响评价技术导则—生态影响》为导向，贯彻“十四五”规划和习近平总书记生态文明思想，通过利用地理探测器中的因子检测和交互探测方法分析各种现象的不同因子及其相互作用对生态环境的影响程度，来客观、准确以及快速地诊断区域生态环境质量的时空格局演变及影响因素，进一步诊断研究区域生态环境。
意义：生态环境质量监测是生态环境保护的基础，是生态文明建设的重要支撑。科学评价生态环境质量，掌控全局生态状况，是后续开展治理工作的前提。本课题研究对长三角一体化区域进行生态环境质量影响因素诊断研究，为生态环境的保护措施提供数据支持，有助于该区域针对性地开展环境保护工作。
2. 研究内容和预期目标
研究内容：
（1）基于多源遥感影像的长三角一体化示范区生态环境质量结果反演；
（2）基于2000~2020年各期生态环境质量评价结果进行时序分析；
3. 研究的方法与步骤
研究方法：
以长三角一体化区域为研究区域，建立区域改进遥感生态指数，利用GEE平台和MODIS多产品数据，进行区域生态环境质量评价，并利用地理探测器的影响因素分析方法，从人类和自然两个主要方面选取影响指标，对长三角区域生态环境质量影响因素影响程度进行诊断研究。
4. 参考文献
1. Zhao,S.; Da, L.; Tang, Z.; Fang, H.; Song, K.; Fang, J. Ecological consequences ofrapid urban expansion: Shanghai, China. Front. Ecol. Environ. 2006, 4, 341–346.
2. Shen, W.; Wu, J.; Grimm, N.B.; Hope,D. Effects of urbanization-induced environmental changes on ecosystemfunctioning in the Phoenix metropolitan region, USA. Ecosystems 2008, 11,138–155.
3. Luo, W.; Bai, H.; Jing, Q.; Liu, T.;Xu, H. Urbanization-induced ecological degradation in Midwestern China: Ananalysis based on an improved ecological footprint model. Resour. Conserv.Recycl. 2018, 137, 113–125.
4. Rizwan, A.M.; Dennis, L.Y.C.; Chunho,L.I.U. A review on the generation, determination and mitigation of Urban HeatIsland. J. Environ. Sci. 2008, 20, 120–128.
5. Liu, W.; Chen, W.; Peng, C. Assessingthe effectiveness of green infrastructures on urban flooding reduction: Acommunity scale study. Ecol. Model. 2014, 291, 6–14.
6. Aronson, M.F.J.; Lepczyk, C.A.;Evans, K.L.; Goddard, M.A.; Lerman, S.B.; Maclvor, J.S.; Nilon, C.H.; Vargo, T.Biodiversity in the city: Key challenges for urban green space management.Front. Ecol. Environ. 2017, 15, 189–196.
7. Peng,W.; Kuang, T.; Tao, S.Quantifying influences of natural factors on vegetation NDVI changes based ongeographical detector in Sichuan, western China. J. Clean. Prod. 2019, 233,353–367.
8. Huang, S.; Tang, L.; Hupy, J.P.;Wang,Y.; Shao, G. A commentary review on the use of normalized difference vegetationindex (NDVI) in the era of popular remote sensing. J. For. Res. 2021, 32,1–6.
9. Asner, G.P.; Scurlock, J.M.O.A.;Hicke, J. Global synthesis of leaf area index observations: Implications forecological and remote sensing studies. Glob. Ecol. Biogeogr. 2003, 12,191–205.
10. Jiang, Z.; Huete, A.R.; Didan, K.;Miura, T. Development of a two-band enhanced vegetation index without a blueband. Remote Sens. Environ. 2008, 112, 3833–3845.
11. Li, Z.L.; Tang, B.H.; Wu, H.; Ren,H.; Yan, G.; Wan, Z.; Trigo, I.F.; Sobrion, J.A. Satellite-derived land surfacetemperature: Current status and perspectives. Remote Sens. Environ. 2013, 131,14–37.
12. Jiang, J.; Tian, G. Analysis of theimpact of land use/land cover change on land surface temperature with remotesensing. Procedia Environ. Sci. 2010, 2, 571–575.
13. Du, L.; Song, N.; Liu, K.; Hou, J.; Hu, Y.; Zhu, Y.; Wan, X.; Wang, L.; Guo,Y. Comparison of two simulation methods of the temperature vegetation drynessindex (TVDI) for drought monitoring in semi-arid regions of China. Remote Sens.2017, 9, 177.
14. Rahman, S.; Mesev, V. Change vector analysis, tasseled cap, andNDVI-NDMI for measuring land use/cover changes caused by a sudden short-termsevere drought: 2011 Texas event. Remote Sens. 2019, 11, 2217.
15. Yue, A.; Zhang, Z. Analysis andresearch on ecological situation change based on EI value. Green Sci. Technol.2018, 14, 182–184.
16. Wang, C.; Jiang, Q.; Shao, Y.; Sun,S.; Xiao, L.; Guo, J. Ecological environment assessment based on land usesimulation: A case study in the Heihe River Basin. Sci. Total Environ. 2019,697, 133928.
17. Wu, X.; Zhang, H. Evaluation ofecological environmental quality and factor explanatory power analysis inwestern Chongqing, China. Ecol. Indic. 2021, 132, 108311.
18. Xu, H.Q. A remote sensing urbanecological index and its application. Acta Ecol. Sin. 2013, 33, 7853–7862.
19. Hu, X.; Xu, H. A new remote sensingindex for assessing the spatial heterogeneity in urban ecological quality: Acase from Fuzhou City, China. Ecol. Indic. 2018, 89, 11–21.
20. Yue, H.; Liu, Y.; Li, Y.; Lu, Y.Eco-Environmental Quality Assessment in China’s 35 Major Cities Based on RemoteSensing Ecological Index. IEEE Access 2019, 7, 51295–51311.
21. Yuan, B.; Fu, L.; Zou, Y.; Zhang,S.; Chen, X.; Li, F.; Deng, Z.; Xie, Y. Spatiotemporal change detection ofecological quality and the associated affecting factors in Dongting Lake Basin,based on RSEI. J. Clean. Prod. 2021, 302, 126995.
5. 计划与进度安排
（1）研究工作准备阶段：
2024.01.01~2024.02.20：该时段为论文准备工作阶段，包括文献收集、数据收集与处理等；
2024.02.21~2024.03.20：该时段为论文开题报告撰写阶段，包括撰写开题报告、数据计算与分析；
以上是毕业论文开题报告，课题毕业论文、任务书、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。
