Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
LI Haihua, XIAO Baozeng, JIN Kaili, CHEN Zihan, YU Lu. CONSTUCTION AND COMPARATIVE ANALYSIS OF WATER QUALITY PREDICTION MODELS OF THE SANMENXIA RESERVOIR OF THE YELLOW RIVER[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 1-7. doi: 10.13205/j.hjgc.202412001
Citation: ZHAO Yuxuan, YU Jingyu, LIU Peigui, WANG Zongsheng. Benefit evaluation on rainwater harvesting system based on emergy analysis[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(1): 125-134. doi: 10.13205/j.hjgc.202501014

Benefit evaluation on rainwater harvesting system based on emergy analysis

doi: 10.13205/j.hjgc.202501014
  • Received Date: 2023-05-16
  • Accepted Date: 2023-12-14
  • Rev Recd Date: 2023-10-16
  • Available Online: 2025-03-21
  • Publish Date: 2025-03-21
  • In order to improve urban waterlogging, rain flood damage, and scarce water resources, China pays more and more attention to collecting and utilizing rainwater, and actively promotes the concept of "sponge city". For giving full play to the effect of rainwater harvesting systems and measuring their value, this study aimed to establish the evaluation model of the comprehensive benefits of rainwater harvesting systems by adopting emergy analysis method. The method quantifies the input and output of material flow, energy flow and monetary flow into solar energy value through emergy conversion technology. Taking a typical office building as a comprehensive case study, this paper calculated the basic value indexes of the three stages of the total collection life cycle, including construction phase, operation phase and scrap and demolition phase. This paper selected the emergy evaluation indexes of ecological environment, economy and society to calculate the results. Thus, the results of emergy evaluation indexes were calculated by the formula, the benefit output of the system was analyzed, and the results were evaluated. The results showed that the emergy input of the rainwater harvesting system was 2.45E+18sej. Remarkably, the emergy output reached an impressive level of 5.61E+18sej, which was much larger than the input energy. This striking disparity fully demonstrated that the output emergy far exceeded the input emergy, underscoring the system’s remarkable effectiveness and efficiency. The system has demonstrated significant output benefits across multiple dimensions, including economic performance, social benefits, and ecological environmental protection. Among them, the ecological environment benefits accounted for 92.90%, especially in biodiversity protection, annual runoff pollution removal and water supply. During the operation phase, the emergy/environment sustainability index (ESI) of the system was 0.8256, showing the system’s sustainable development ability. A high ESI value indicated that the system pursued economic benefits while fully considering environmental protection and social responsibility. This comprehensive benefit evaluation method based on emergy value analysis can evaluate the benefits of rainwater harvesting systems in the construction and operation phase from the perspective of resource flow, and provide a reference for the evaluation of urban rainwater harvesting and utilization systems.
  • [1]
    郭朋.城市建筑与小区雨水利用工程综合评价的研究[D]. 昆明:昆明理工大学,2017. GUO P. Comprehensive Evaluation of Urban Construction and Community Rainwater Utilization Project Research[D]. Kunming: Kunming University of Science and Technology,2017.
    [2]
    刘勇, 聂含冰, 江成, 等.新型透水铺装对雨水径流水量和水质控制效果现场研究[J/OL].环境工程:1-8. http://kns.cnki.net/kcms/detail/11.2097.X.20230925.

    1012.010.html. LIU Y, NIE H B, JIANG C, et al. Field study on the control effect of new permeable pavement on rainwater runoff quantity and water quality[J/OL]. Environmental Engineering:1-8. http://kns.cnki.net/kcms/detail/11.2097.X.20230925.1012.010.html.
    [3]
    中华人民共和国国务院.中共中央国务院关于进一步加强城市规划建设管理工作的若干意见(中发
    [4]
    丁亚楠,王建国,汤露露.典型雨水收集处理系统的生命周期评价[J].四川环境,2020,39(4):194-199.

    DING Y N, WANG J G, TANG L L. Life cycle assessment of typical rainwater collection and treatment system[J]. Sichuan Environment,2020,39(4):194-199.
    [5]
    田立亭,程林,郭剑波,等.基于能值分析的多能互补综合能源系统价值评估方法[J].电网技术,2019,43(8):2925-2934.

    TIAN L T, CHENG L, GUO J B, et al. Multi-energy system valuation method based on emergy analysis[J]. Power System Technology, 2019,43(8):2925-2934.
    [6]
    郭清,常儇宇.基于模糊综合评价法的地块海绵城市建设效果评估[J].给水排水,2021,57(增刊1):167-171. GUO Q, CHANG X Y. Assessment of sponge city construction effects based on fuzzy comprehensive evaluation method[J]. Water& Wastewater Engineering, 2021,57

    (S1):167-171.
    [7]
    马瑾瑾,陈星,许钦.海绵城市建设中雨水资源利用潜力评价研究[J].水资源与水工程学报,2019,30(1):27-32.

    MA J J, CHEN X, XU Q. Evaluation of regional rainwater resources utilization potential in sponge city construction[J].Journal of Water Resource &Water Engineering, 2019,30(1):27-32.
    [8]
    钱嘉欣,武家辉,姚磊,等.基于能值分析和多目标决策法的CCHP-PV-Wind系统综合性能评估研究[J].电力系统保护与控制,2021,49(2):130-139.

    QIAN J X, WU J H, YAO L, et al. Comprehensive performance evaluation of a CCHP-PV-Wind system based on energy analysis and a multi-objective decision method[J]. Power System Protection and Control,2021,49(2):130-139.
    [9]
    JOKSIMOVIC D, ALAM Z. Cost efficiency of low impact development (LID) stormwater management practices[J]. Procedia Engineering, 2014, 89: 734-741.
    [10]
    DEO A, KARMAKAR S, ARORA A. Rainwater harvesting and water balance simulation-optimization scheme to plan sustainable second crop in small rain-fed systems[J]. Journal of Environmental Management, 2022, 323: 116135.
    [11]
    BROWN M T, SERGIO U. Assessing the global environmental sources driving the geobiosphere: a revised emergy baseline[J]. Ecological Modelling,2016,339.
    [12]
    KIM J. Exploring green infrastructure benefits at house and neighborhood scale: case Study of Illinois[J]. Landscape and Ecological Engineering,2017:145-146.
    [13]
    李诗雨,柏云声,龚静仪,等.海绵小区蓝绿基础设施的生态效益综合评估与应用潜力分析[J].国土资源情报,2022(1):63-77. LI S Y, BAI Y S, GONG J Y, et al. Comprehensive evaluation of ecological benefits and application potential analysis of blue-green infrastructure in sponge community[J]. Land and Resources Information,2022

    (1):63-77.
    [14]
    任丽燕,吴次芳,岳文泽.西溪国家湿地公园生态经济效益能值分析[J].生态学报,2009,29(3):1285-1291.

    REN L Y, WU C F, YUE W Z. Emergy analysis of the ecological economic system of Xixi National Wetland Park[J]. Acta Ecologica Sinica,2009,29(3):1285-1291.
    [15]
    付恒阳,李榜晏.基于能值分析的LID可持续性评价[J].西北大学学报(自然科学版),2017,47(5):761-768. FU H Y, LI B Y. Sustainability assessment for Low-impact development based on emergy analysis[J]. Journal of Northwest University (Natural Science Edition),2017,47(5):761-768.
    [16]
    ODUM H T. Environmental Accounting Emergy and Environmental Decision Making[M]. New York: John Wiley &Sons, 1996: 294-303.
    [17]
    ZHANG W B, LI Z H, LI S P, et al. Evaluation of the ecological benefits of recycling multiple metals from lithium battery saggars based on emergy analysis[J]. Sustainability, 2021,13(9):10745-10745.
    [18]
    蓝盛芳.生态经济系统能值分析[M].北京:化学工业出版社, 2002. LAN S F. Emergy analysis of eco-economic system[M].Beijing: Chemical Industry Press,2002.
    [19]
    BROWN M T, ULGIATI S. Emergy assessment of global renewable sources[J]. Ecol. Modell., 2016,339: 148-156.
    [20]
    陈思英,郑军,杨书运,等.基于MODIS数据的安徽淮河流域陆地植被净初级生产力分析[J].安徽农学通报,2013,19(7):124-125.

    CHEN S Y, ZHENG J, YANG S Y, et al. Analysis of Terrestrial NPP Based on the MODIS in Huaihe River Basin of Anhui Province[J]. Anhui Agricultural Science Bulletin, 2013,19(7):124-125.
    [21]
    宋喜芳,常小箭,赵永锋,等.西安市果园固碳制氧功能及生态价值评估[J].陕西农业科学,2019,65(3):76-79.

    SONG X F, CHANG X J, ZHAO Y F, et al. Carbon sequestration and oxygen production function and ecological value evaluation of orchards in Xi'an[J].Shaanxi Journal of Agricultural Sciences,2019,65(3):76-79.
    [22]
    钱锋,王伟东.建筑环境效率能值分析与评价:以北京大学体育馆为例[J].建筑学报,2007(7):39-42. QIAN F, WANG W D. Emergy analysis and evaluation of building environmental efficiency:take Peking University Gymnasium as an example[J]. Architectural Journal,2007

    (7):39-42.
    [23]
    郑涛.居住社区海绵改造过程的碳排放核算研究[J].中国给水排水,2021,37(19):112-119.

    ZHENG T. Estimation of carbon emission during sponge city reconstruction of residential community[J]. China Water & Wastewater, 2021,37(19):112-119.
    [24]
    LI D, DU B, ZHU J. Evaluating old community renewal based on emergy analysis: a case study of Nanjing[J]. Ecological Modelling, 2021, 449: 109550.
    [25]
    李婷婷. 基于能值分析的安徽省城市生态系统健康评价[D]. 蚌埠:安徽财经大学,2017. LI T T. Evaluation of Urban Ecological Health Based on Emergy Analysis of Anhui Province[D]. Bengbu: Anhui University of Finance and Economics,2017.
    [26]
    NACIMENTO R A, MORENO D A R, LUIZ V T, et al. Sustainability assessment of commercial Brazilian organic and conventional broiler production systems under an emergy analysis perspective[J]. Journal of Cleaner Production, 2022, 359: 132050.
    [27]
    YU X, GENG Y, DONG H, et al. Emergy-based sustainability assessment on natural resource utilization in 30 Chinese provinces[J]. J. Clean. Prod.,2016,133:18-27.
    [2016]
    6号)[EB/OL][2022-09-14].http://www.gov.cn/zhengce/2016-02/21/content_5044367.htm. State Council, PRC. Several Opinions of the CPC Central Committee and The State Council on Further Strengthening Urban Planning and Construction Management (Zhongfa
    [2016]
    No.6)[EB/OL].[2022-09-14].http://www.gov.cn/zhengce/2016-02/21/content_5044367.htm.
  • Relative Articles

    [1]YU Yiqi, CHEN Nengwang, YU Qibiao, LI Shaobin, ZHANG Dongzhan, QU Fan. SELECTING TRANSFER CONDITIONS BASED ON XGBOOST TO IMPROVE WATER QUALITY PREDICTION CAPACITY OF THE LSTM MODEL[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(1): 223-234. doi: 10.13205/j.hjgc.202401029
    [2]LI Youjie, ZHAO Shunyu, YANG Ping, WANG Yelin. A REVIEW OF HYBRID FORECASTING METHODS FOR ATMOSPHERIC POLLUTANTS IN SHORT-TERM BASED ON DATA DECOMPOSITION[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(4): 213-224. doi: 10.13205/j.hjgc.202304029
    [3]WANG Qingrong, WANG Junjie, ZHU Changfeng, HAO Fule. CARBON EMISSION PREDICTION OF TRANSPORTATION INDUSTRY BASED ON VMD AND SSA-LSSVM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 124-132. doi: 10.13205/j.hjgc.202310016
    [4]YU Feng, WANG Kejia, ZHANG Wenlong, LI Yi. PREDICTION OF COAGULANT DOSAGE FOR IN-SITU TURBIDITY CONTROL IN WATER ECOLOGICAL RESTORATION BASED ON BP NEURAL NETWORK OPTIMIZED BY GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(4): 154-163. doi: 10.13205/j.hjgc.202304022
    [5]ZHOU Jianguo, WANG Jianyu, WEI Siti. PREDICTION OF PM2.5 AND OZONE CONCENTRATION BASED ON VMD-CEEMD DECOMPOSITION AND LSTM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(6): 157-165,221. doi: 10.13205/j.hjgc.202306021
    [6]LI Yuanyuan, LIU Hailong. PREDICTION OF TOTAL PHOSPHORUS IN RIVERS BASED ON ATTENTION MECHANISM OF TEMPORAL CONVOLUTIONAL NETWORKS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(5): 163-171. doi: 10.13205/j.hjgc.202305022
    [7]GUO Zirui, CHEN Zhiqiang, CHI Riguang, SHEN Aihua. PREDICTION OF POLYHYDROXYALKANOATE (PHA) PRODUCTION UTILIZING FOOD WASTE BASED ON GA-BP NEURAL NETWORK METHOD[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(4): 166-173. doi: 10.13205/j.hjgc.202204024
    [8]XUE Tong-lai, ZHAO Dong-hui, HAN Fei. SVR WATER QUALITY PREDICTION MODEL BASED ON GA OPTIMIZATION[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(3): 123-127. doi: 10.13205/j.hjgc.202003021
    [9]LIANG Tao, XIE Gao-feng, MI Da-bin, JIANG Wen. PREDICTION OF PM10 CONCENTRATION BASED ON CEEMDAN-SE AND LSTM NEURAL NETWORK[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(2): 107-113. doi: 10.13205/j.hjgc.202002015
    [10]YU Shen-ting, LIU Ping. LONG SHORT-TERM MEMORY-CONVOLUTION NEURAL NETWORK (LSTM-CNN) FOR PREDICTION OF PM2.5 CONCENTRATION IN BEIJING[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(6): 176-180,66. doi: 10.13205/j.hjgc.202006029
    [16]Ren Jinxia Yu Zhiwu You Xin, . MODEL FOR WATER QUALITY EVALUATION BASED ON WAVELET NEURAL NETWORK OF ADAPTIVE GENETIC ALGORITHM[J]. ENVIRONMENTAL ENGINEERING , 2015, 33(5): 144-148. doi: 10.13205/j.hjgc.201505031
  • Cited by

    Periodical cited type(18)

    1. 李振国. 污水厂增加和完善硝化功能的工艺改造分析. 造纸装备及材料. 2024(02): 133-135 .
    2. 田文瑞,宿文娟,赵淑铭. 厌氧氨氧化技术的研究进展. 节能. 2023(03): 90-93 .
    3. 赵舒. 厌氧氨氧化在废水处理领域中的应用. 辽宁化工. 2023(12): 1860-1862+1866 .
    4. 周铉凯,暴瑞玲,阮爱东,马小通. COD对连续流厌氧氨氧化混菌体系氮素转化和菌群结构的影响. 当代化工. 2023(12): 2895-2900 .
    5. 沈东. 基于厌氧氨氧化反应的污水处理工艺探究. 节能与环保. 2021(03): 72-73 .
    6. 孙梦侠,张凯,李军,梁东博,王佳. EGSB-CANON工艺启动及动力学特性. 中国环境科学. 2021(07): 3201-3211 .
    7. 秦彦荣,袁忠玲,张明,张民安,刘安迪,付雪,马娟,陈永志. 部分亚硝化-厌氧氨氧化协同反硝化处理生活污水脱氮除碳. 环境科学. 2021(10): 4853-4863 .
    8. 李进,吴莉娜,闫志斌,苏柏懿,王春艳. 主流部分亚硝化-厌氧氨氧化工艺脱氮功能菌群的控制策略研究. 环境工程. 2021(08): 45-54+61 . 本站查看
    9. 马小通,暴瑞玲,阮爱东,罗嘉西. 连续流MBBR厌氧氨氧化反应器中絮状污泥与生物膜菌群分布特征. 当代化工. 2021(12): 2773-2777 .
    10. 张树德,李艳梅,杨忠平,宁丹,杨文杰,王占生. 部分亚硝化工艺处理稀土尾水应用研究. 给水排水. 2021(S2): 284-288 .
    11. 张星星,王昕竹,印雯,陈亚,徐乐中,盛铭军,郭永福,吴鹏. 基于厌氧氨氧化技术处理市政污水的研究进展. 工业水处理. 2020(01): 1-7 .
    12. 刘小锦,刘琪,刘广青,苏本生,王倩. 升流式生物膜反应器中CANON工艺处理中低浓度氨氮废水的快速启动. 环境工程学报. 2020(06): 1545-1553 .
    13. 赵婉情,李柏林,王伟,李晔,王恒,汪月,梁亚楠. 颗粒-絮状污泥耦合单级自养脱氮系统的脱氮性能分析. 环境工程. 2020(09): 43-47+199 . 本站查看
    14. 赵静,姜天. ANAMMOX工艺的影响因素研究进展. 化工管理. 2019(31): 46-47 .
    15. 马志洋. 厌氧氨氧化污水处理工艺及其实际应用研究进展. 中国金属通报. 2019(09): 122+124 .
    16. 刘川续. 厌氧氨氧化污水处理工艺及其实际应用研究进展. 环境与发展. 2019(10): 80-81 .
    17. 牛宇锟,赵博玮,岳秀萍,周爱娟. 木质框架土壤渗滤系统中氨氮沿程变化的半经验公式. 科学技术与工程. 2019(34): 426-432 .
    18. 耿震,王罕. 餐厨废弃物厌氧消化沼液处理工艺设计. 中国给水排水. 2019(22): 62-65 .

    Other cited types(21)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-040255075100
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 13.3 %FULLTEXT: 13.3 %META: 81.3 %META: 81.3 %PDF: 5.5 %PDF: 5.5 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 85.9 %其他: 85.9 %北京: 3.1 %北京: 3.1 %南昌: 0.4 %南昌: 0.4 %南通: 0.4 %南通: 0.4 %常德: 0.4 %常德: 0.4 %广州: 0.8 %广州: 0.8 %张家口: 0.4 %张家口: 0.4 %杭州: 0.4 %杭州: 0.4 %武汉: 0.8 %武汉: 0.8 %济南: 0.4 %济南: 0.4 %温州: 0.4 %温州: 0.4 %石家庄: 0.4 %石家庄: 0.4 %芒廷维尤: 3.1 %芒廷维尤: 3.1 %荆门: 0.8 %荆门: 0.8 %西宁: 0.4 %西宁: 0.4 %郑州: 0.8 %郑州: 0.8 %青岛: 1.2 %青岛: 1.2 %其他北京南昌南通常德广州张家口杭州武汉济南温州石家庄芒廷维尤荆门西宁郑州青岛

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (16) PDF downloads(0) Cited by(39)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return