Spatial and Temporal Distribution of the Impact of Socio-economic Factors on Water Pollution

Chen, Bizhen; Xie, Shanshan; Sun, Dehong

doi:10.35784/preko.5385

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Tytuł artykułu

Spatial and Temporal Distribution of the Impact of Socio-economic Factors on Water Pollution

Autorzy

Chen Bizhen , Xie Shanshan , Sun Dehong

Treść / Zawartość

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DOI

10.35784/preko.5385

Warianty tytułu

Przestrzenny i czasowy rozkład wpływu czynników społeczno-ekonomicznych na zanieczyszczenie wody w Chinach

Języki publikacji

Abstrakty

Access to safe water and ensuring residents’ health are the main components of the United Nations Sustainable Development Goals (SDGs). Water pollution has a significant impact on residents’ health, and there are many factors that exacerbate water pollution. In this study, we applied the geographically and temporally weighted regression (GTWR) model to analyze the spatiotemporal distribution characteristics of factors affecting water pollution in China from 2005 to 2021. Hence, this article takes the chemical oxygen demand emissions (CODE) as the dependent variable, and the independent variables are ending permanent population (EPP), urbanization rate (UR), comprehensive production capacity of water supply (CPCOWS), per capita GDP (PCGDP), industrial water consumption proportion (IWCP), and per capita water consumption (PCWC). The conclusions are as follows: (1) The temporal evolution of CODE in different regions is highly consistent, with the order of water pollution severity being central, northeast, eastern, and western. (2) The effects of different factors on water pollution have obvious spatial and temporal heterogeneity. Overall, EPP, UR, CPCOWS, and PCWC have positive effects on water pollution, and PCGDP and IWCP have negative effects. (3) The direction of EPP and PCGDP impacts on CODE remains consistent across regions. UR impacts are primarily in the northeast, CPCOWS impacts are primarily in the eastern, central, and northeast, IWCP impacts are primarily in the central and western, and PCWC impacts are primarily in the eastern and central. Ultimately, some practical and feasible policy recommendations were proposed for different regions.

Dostęp do bezpiecznej wody i zapewnienie zdrowia mieszkańców należą do najważniejszych Celów Zrównoważonego Rozwoju Organizacji Narodów Zjednoczonych (SDGs). Zanieczyszczenie wody ma znaczący wpływ na zdrowie mieszkańców, a istnieje wiele czynników, które zwiększają zanieczyszczenie wody. W tym badaniu zastosowaliśmy model regresji ważonej geograficznie i czasowo (GTWR) do analizy charakterystyki czasoprzestrzennego rozkładu czynników wpływających na zanieczyszczenie wody w Chinach w latach 2005-2021. Dlatego w tym artykule przyjęto emisję chemicznego zapotrzebowania tlenu (CODE) jako zależną zmienną, a zmiennymi niezależnymi są końcowa liczba ludności (EPP), wskaźnik urbanizacji (UR), całkowita zdolność produkcyjna zaopatrzenia w wodę (CPCOWS), PKB na mieszkańca (PCGDP), udział zużycia wody przemysłowej (IWCP) i zużycie wody na mieszkańca (PCWC). Wnioski są następujące: (1) Czasowa ewolucja CODE w różnych regionach jest wysoce spójna, przy czym kolejność zagrożeń wynikających z zanieczyszczenia wody jest następująca: regiony centralny, północno-wschodni, wschodni i zachodni. (2) Wpływ różnych czynników na zanieczyszczenie wody jest wyraźnie zróżnicowany przestrzennie i czasowo. Ogólnie rzecz biorąc, EPP, UR, CPCOWS i PCWC mają pozytywny wpływ na zanieczyszczenie wody, a PCGDP i IWCP mają skutki negatywne. (3) Kierunek wpływu EPP i PCGDP na CODE pozostaje spójny we wszystkich regionach. Oddziaływania UR występują głównie na północnym wschodzie, oddziaływania CPCOWS występują głównie na wschodzie, środku i północnym wschodzie, oddziaływania IWCP występują głównie w środkowej i zachodniej części, a oddziaływania PCWC występują głównie na wschodzie i w środku. W końcowej części pracy zaproponowano praktyczne i wykonalne zalecenia polityczne dla różnych regionów.

Słowa kluczowe

socio-economic factors water pollution water environment chemical oxygen demand geographically and temporally weighted regression

czynniki społeczno-ekonomiczne zanieczyszczenie wody środowisko wodne chemiczne zapotrzebowanie na tlen regresja ważona geograficznie i czasowo

Wydawca

Lublin University of Technology

Czasopismo

Problemy Ekorozwoju

Rocznik

2024

Tom

Vol. 19, no. 1

Strony

180--192

Opis fizyczny

Bibliogr. 37 poz., fig., tab.

Twórcy

autor

Chen Bizhen

1343700050@qq.com

School of Information Management, Minnan University of Science and Technology (Chiny)

autor

Xie Shanshan

School of Information Management, Minnan University of Science and Technology (Chiny)

autor

Sun Dehong

School of Information Management, Minnan University of Science and Technology (Chiny)

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Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-3dc26841-042f-4df1-85bc-57d4e29968e5