基于人工神经网络模型的沧州市水生态承载力评估

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中图分类号：TB183;X826;X52文献标志码：A文章编号：2095-6819（2025）06-1679-08doi：10.13254/j.jare.2024.0837

Assessment of water ecological carrying capacity in Cangzhou City based on artificial neural network model

ZHENGHaowei1，2，WANGHuanhual，LUShaoyong1*，JIAJianli³，WANZhengfen1，BIBin1，ZHANGSenlin' （1.StateKeyboatootalCidsssst，ateEviotalrotetiKborato Control，NationalEngineringLaboratoryforLakePolutionControlandEcologicalRestoration，ChineseResearchAcademyof Environmentaliences，eingoina;2inaNtialGoldGroupo.，d，eigina;3hoofcal Environmental Engineering，China UniversityofMiningand Technology-Beijing，Beijing 1Ooo83，China）

Abstract：Thestudyof waterecologicalcarringcapacitycanbeusedasanefectiveaproach topredicttheproblemsarisingin sustainabldevelopentfoteprspetieofwatercolgyTetraditioalquantitatieprocessofwaterologicalcaingapcityis complicatedduetoteindexconceptinonfoityndmultifeldintersectioIntisstudytequantiatieevauatiomodelfater ecologicalcaringapacityasstablisdbyonstructingthidexsymofatersourcs，atereviroent，waterolognd watersecurityandombiingtestructurendaracteristicsofartficialeuralnetwork，ichprovidesasientificmethodforthe calculationofatercologicalcaringapacity.Moreoer，akingCngzouCitytyicalowatedfintcityseaplet calculationsshowedthatfrom2O15to2019theindexesofwatercologicalcaryingcapacitywere0.26，0.23，0.23，0.24and0.22， respectivelyItfldatveallologalgaacitasatddatarelyingtardvelchay threatenthegeealtndsaiableevelopntofologicaliont.Ianbentateobiatioofd systemandneuraletworkodelastedvaagofsplesucture，trongantnterfereceabiltndoeintuitiversultat theegioalcaingcapacitystatecanbepresentedmoreitutivelyandeectivelyprovdinghelpfortesolutionofaterological problems in this region and the designation for future development direction.

Keywords：water ecological carrying capacity; index system; artificial neural network; Cangzhou City

随着经济社会的发展，我国不少水域受到不同程度的污染，沧州市地处海河流域，水资源紧缺且水体受污染较重，为贯彻党的十九大精神，推进绿色发展，生态文明成为环境承载力所涉及到的重点之二[2]。（剩余13766字）