Optimization of Habitat Renovation Plan for Reservoir Beach: A Case Study on Wangfuzhou Reservoir

SHAN Min-er; ZHOU Yin-jun; GUO Chao; LIU Xin; SUN Gui-zhou; LI Zhi-jing

doi:10.11988/ckyyb.20221186

PDF(6219 KB)

Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (1) : 18-25. DOI: 10.11988/ckyyb.20221186

River-Lake Protection and Regulation

Optimization of Habitat Renovation Plan for Reservoir Beach: A Case Study on Wangfuzhou Reservoir

SHAN Min-er^1,2, ZHOU Yin-jun¹, GUO Chao¹, LIU Xin³, SUN Gui-zhou¹, LI Zhi-jing¹

Author information +

History +

Abstract

In recent years, aquatic plant disasters in cascade reservoirs with low head due to slow flow velocity and small water depth has emerged as a new problem in reservoir management. To tackle the Elodea canadensis disaster in the Wangfuzhou Reservoir area, an approach involving local topographic transformation was implemented. The aim was to create an unfavorable hydrological environment for the growth of Elodea. We propose a concept of hydrodynamic improvement rate to quantitatively describe the changes in hydrodynamic strength before and after transformation. Furthermore, we established an entropy-TOPSIS model to select the optimum plan for each area in comprehensive consideration of the hydrodynamic improvement effect, the environmental impact, and transformation benefits. The major findings are as follows: in area A, under periodic flow rate, modification scheme 1 exhibits a meager hydrodynamic improvement rate of only 5.16%, which is much lower than the rates achieved by scheme 2 (59.15%) and scheme 3 (63.62%). For area B and area C, scheme 1 weakens the hydrodynamic strength, while scheme 2 and scheme 3 yield improvement rates of 16.02% and 20.19% for area B, and 45.47% and 51.99% for area C, respectively. The improvement rates of both scheme 2 and scheme 3 are relatively close. By using the entropy weight method, we obtained the weights of each index in the three areas, ranking from transformation benefit to average transformation depth and hydrodynamic improvement rate in descending order. Taking into account the overall hydrodynamic improvement rate, environmental impact, and transformation benefit, the comprehensive evaluation index calculated using the TOPSIS model suggests that Scheme 3 is superior to Scheme 2 and Scheme 1. Thus, Scheme 3 is identified as the optimal transformation scheme for each area.

Key words

habitat renovation of reservoir beach / hydrodynamic improvement rate / entropy weight / TOPSIS model / Elodea canadensis / Wangfuzhou Reservoir

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

SHAN Min-er, ZHOU Yin-jun, GUO Chao, LIU Xin, SUN Gui-zhou, LI Zhi-jing. Optimization of Habitat Renovation Plan for Reservoir Beach: A Case Study on Wangfuzhou Reservoir[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(1): 18-25 https://doi.org/10.11988/ckyyb.20221186

References

[1] 王珍. 汉江中下游水质沿程变化规律及污染成因分析[D]. 武汉: 长江科学院, 2021. (WANG Zhen. Change Rule along the Way and Pollution Cause Analysis of Water Quality of the Middle and Lower Reaches of Hanjiang River[D]. Wuhan: Changjiang River Scientiffic Research Institute, 2021. (in Chinese))
[2] 长江水资源保护科学研究所.丹江口-王甫洲区间水草防治效果评估研究[R].武汉:长江水资源保护科学研究所,2021. (Changjiang Water Resources Protection Institute. Assessment of Aquatic Plant Disaster Prevention and Control Effects in the Reach Between Danjiangkou and Wangfuzhou[R]. Wuhan: Changjiang Water Resources Protection Institute, 2021. (in Chinese))
[3] 朱恩合, 李宝艳, 李君丽. 尔王庄水库水草繁殖危害及应对措施[J]. 水科学与工程技术, 2010(5): 55-56. (ZHU En-he, LI Bao-yan, LI Jun-li. The Propagation Hazards of Waterweed and Its Countermeasures in the Erwangzhuang Reservoir[J]. Water Sciences and Engineering Technology, 2010(5): 55-56.(in Chinese))
[4] 高学平, 吕建璋, 孙博闻, 等. 含植物河道等效床面阻力试验研究[J]. 水利学报, 2021, 52(9): 1024-1035, 1046. (GAO Xue-ping, LYU Jian-zhang, SUN Bo-wen, et al. Experimental Study on Equivalent Bed Resistance of River Containing Vegetation[J]. Journal of Hydraulic Engineering, 2021, 52(9): 1024-1035, 1046.(in Chinese))
[5] 长江科学院.王甫洲水利枢纽库区淤积效应分析及生态治理研究建议书[R].武汉:长江科学院,2021.(Changjiang River Scientific Research Institute. Deposition Effects in Wangfuzhou Reservoir Area and Ecological Restoration Suggestions[R]. Wuhan: Changjiang River Scientific Research Institute, 2021. (in Chinese))
[6] 张睿, 张利升, 饶光辉. 丹江口水利枢纽综合调度研究[J]. 人民长江, 2019, 50(9): 214-220. (ZHANG Rui, ZHANG Li-sheng, RAO Guang-hui. Integrated Dispatching of Danjiangkou Hydro-complex[J]. Yangtze River, 2019, 50(9): 214-220.(in Chinese))
[7] 王若晨, 欧阳硕. 调水背景下丹江口水库优化调度与效益分析[J]. 长江科学院院报, 2016, 33(12): 17-21. (WANG Ruo-chen, OUYANG Shuo. Benefit Analysis and Optimal Scheduling of Danjiangkou Reservoir in the Presence of the South-to-North Water Transfer Project[J]. Journal of Yangtze River Scientific Research Institute, 2016, 33(12): 17-21.(in Chinese))
[8] 洪兴骏, 余蔚卿, 任金秋, 等. 丹江口水利枢纽汛期运行水位优化研究与应用[J]. 人民长江, 2022, 53(2): 27-34. (HONG Xing-jun, YU Wei-qing, REN Jin-qiu, et al. Research and Application on Optimization of Operating Water Level of Danjiangkou Reservoir during Flood Season[J]. Yangtze River, 2022, 53(2): 27-34.(in Chinese))
[9] 彭涛, 严浩, 郭家力, 等. 丹江口水库运用对下游水文情势影响研究[J]. 人民长江, 2016, 47(6): 22-26, 47. (PENG Tao, YAN Hao, GUO Jia-li, et al. Impact of Danjiangkou Reservoir Operation on Downstream Hydrological Regime[J]. Yangtze River, 2016, 47(6): 22-26, 47.(in Chinese))
[10] 黄金凤, 夏军, 佘敦先, 等. 丹江口水库对汉江下游水文过程的影响[J]. 武汉大学学报(工学版), 2015, 48(6): 782-788. (HUANG Jin-feng, XIA Jun, SHE Dun-xian, et al. Analysis of Influence of Danjiangkou Reservoir on Hydrological Process of Lower Reach of Hanjiang River[J]. Engineering Journal of Wuhan University, 2015, 48(6): 782-788.(in Chinese))
[11] 长江水资源保护科学研究所.丹江口-王甫洲区间生态调度控制水草效果评估研究[R].武汉:长江水资源保护科学研究所,2020.(Changjiang Water Resources Protection Institute. Assessment of Aquatic Plant Disaster Prevention and Control Effects through Ecological Scheduling in the Reach Between Danjiangkou and Wangfuzhou[R]. Wuhan: Changjiang Water Resources Protection Institute, 2020. (in Chinese))
[12] HUSSNER A, STIERS I, VERHOFSTAD M J J M, et al. Management and Control Methods of Invasive Alien Freshwater Aquatic Plants: A Review[J]. Aquatic Botany, 2017, 136: 112-137.
[13] 田晶, 郭生练, 刘德地, 等. 气候与土地利用变化对汉江流域径流的影响[J]. 地理学报, 2020, 75(11): 2307-2318. (TIAN Jing, GUO Sheng-lian, LIU De-di, et al. Impacts of Climate and Land Use/Cover Changes on Runoff in the Hanjiang River Basin[J]. Acta Geographica Sinica, 2020, 75(11): 2307-2318.(in Chinese))
[14] 徐帅, 张凯, 赵仕沛. 基于MIKE 21 FM模型的地表水影响预测[J]. 环境科学与技术, 2015, 38(增刊1): 386-390. (XU Shuai, ZHANG Kai, ZHAO Shi-pei. Prediction Methods Analysis of Surface Water Quality Based on the MIKE 21 FM Numerical Model[J]. Environmental Science & Technology, 2015, 38(S1): 386-390.(in Chinese))
[15] 张虎, 徐学军, 代涛. MIKE21 FM在引江济巢工程规划中的应用[J]. 水电能源科学, 2016, 34(9): 103-106, 93. (ZHANG Hu, XU Xue-jun, DAI Tao. Application of MIKE21FM in Water Diversion Project from Yangtze River to Chaohu Lake[J]. Water Resources and Power, 2016, 34(9): 103-106, 93.(in Chinese))
[16] 熊建清, 窦燕, 尚晓燕. 基于熵权的施工导流方案多目标评价方法[J]. 人民黄河, 2011, 33(2): 105-106. (XIONG Jian-qing, DOU Yan, SHANG Xiao-yan. Multi-objective Evaluation Method of Construction Diversion Scheme Based on Entropy Weight[J]. Yellow River, 2011, 33(2): 105-106.(in Chinese))
[17] 刘亮, 何建新, 高强. 基于熵权的TOPSIS模型在城市供水方案优选中的应用[J]. 水资源与水工程学报, 2010, 21(3): 62-65. (LIU Liang, HE Jian-xin, GAO Qiang. Application of the TOPSIS Model Based on Entropy Weights to the Optimization of Water Supply Scheme[J]. Journal of Water Resources and Water Engineering, 2010, 21(3): 62-65.(in Chinese))
[18] 吴扬东, 袁庆霓, 周民. 基于TOPSIS-熵的计量泵设计方案优选[J]. 机械设计与制造, 2016(1): 66-68. (WU Yang-dong, YUAN Qing-ni, ZHOU Min. Design Scheme Optimization of Metering Pump Based on TOPSIS and Entropy Principle[J]. Machinery Design & Manufacture, 2016(1): 66-68.(in Chinese))
[19] 张先起, 梁川, 刘慧卿. 基于熵权的属性识别模型在地下水水质综合评价中的应用[J]. 四川大学学报(工程科学版), 2005, 37(3): 28-31. (ZHANG Xian-qi, LIANG Chuan, LIU Hui-qing. Application of Attribute Recognition Model Based on Coefficient of Entropy to Comprehensive Evaluation of Groundwater Quality[J]. Journal of Sichuan University (Engineering Science Edition), 2005, 37(3): 28-31.(in Chinese))
[20] 苟廷佳, 陆威文. 基于组合赋权TOPSIS模型的生态文明建设评价: 以青海省为例[J]. 统计与决策, 2020, 36(24): 57-60. (GOU Ting-jia, LU Wei-wen. Evaluation of Ecological Civilization Construction Based on Combined Weighted TOPSIS Model—A Case Study of Qinghai Province[J]. Statistics & Decision, 2020, 36(24): 57-60.(in Chinese))
[21] 刘军号, 方崇. 施工导流方案优选的熵TOPSIS决策模型[J]. 华北水利水电学院学报, 2011, 32(2): 37-39. (LIU Jun-hao, FANG Chong. TOPSIS Decision Model Based on Entropy of Optimization of Construction Diversion Schemes[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2011, 32(2): 37-39.(in Chinese))
[22] 徐存东, 翟东辉, 张硕, 等. 改进的TOPSIS综合评价模型在河道整治方案优选中的应用[J]. 河海大学学报(自然科学版), 2013, 41(3): 222-228. (XU Cun-dong, ZHAI Dong-hui, ZHANG Shuo, et al. Application of Improved TOPSIS Comprehensive Evaluation Model to Optimization of River Regulation Schemes[J]. Journal of Hohai University (Natural Sciences), 2013, 41(3): 222-228.(in Chinese))
[23] 舒欢, 刘文娜. 基于组合赋权—TOPSIS模型的水利工程建设方案优选决策方法[J]. 工程管理学报, 2013, 27(4): 83-86. (SHU Huan, LIU Wen-na. Hydraulic Engineering Construction Program Optimal Choice Based on Empowerment Combination TOPSIS Model[J]. Journal of Engineering Management, 2013, 27(4): 83-86.(in Chinese))
[24] 田林钢, 靳聪聪. 基于改进的熵权-TOPSIS法的震损水库最佳除险加固方案选择[J]. 水电能源科学, 2013, 31(9): 68-71. (TIAN Lin-gang, JIN Cong-cong. Optimization Selection of Earthquake Damaged Reservoir Reinforcement Planning Based on Improved Entropy Weight-TOPSIS[J]. Water Resources and Power, 2013, 31(9): 68-71.(in Chinese))
[25] 刘秋常, 韩涵, 李慧敏, 等. 基于熵权TOPSIS法的海绵城市建设绩效评价: 以河南省鹤壁市为例[J]. 人民长江, 2017, 48(14): 23-26. (LIU Qiu-chang, HAN Han, LI Hui-min, et al. Evaluation of Sponge City Construction Based on Entropy Weight-TOPSIS: Case of Hebi City, Henan Province[J]. Yangtze River, 2017, 48(14): 23-26.(in Chinese))