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Article ; Online: Land-use simulation for synergistic pollution and carbon reduction: Scenario analysis and policy implications.

Wu, Luyan / He, Yanhu / Tan, Qian / Zheng, Yanhui

2024 Volume 356, Page(s) 120603

Abstract: Simulations of sustainable land use and management are required to achieve targets to reduce pollution and carbon emissions. Limited research has been conducted on synergistic pollution and carbon reduction (SPCR) in land-use simulations. This study ... ...

Abstract	Simulations of sustainable land use and management are required to achieve targets to reduce pollution and carbon emissions. Limited research has been conducted on synergistic pollution and carbon reduction (SPCR) in land-use simulations. This study proposed a framework for land-use simulation focused on SPCR. The non-dominated sorting genetic algorithm (NSGA-Ⅱ) and the entropy weight-based technique for order of preference by similarity to an ideal solution (TOPSIS) were used to optimize the land-use structure according to minimum net carbon, nitrogen, and phosphorus emissions. The cellular automata (CA) Markov model was then utilized to simulate the land-use spatial pattern according to the optimal conditions. The proposed framework was applied to the Dongjiang River Basin, South China, and three other scenarios (natural development (ND), carbon minimization (CM), and pollution minimization (PM)) were designed to validate the effectiveness of pollution and carbon emissions reduction under the SPCR scenario. The land-use structure and the pollution and carbon emissions in the scenarios were compared. The results showed the following. (1) The proportions of cultivated land, woodland, grassland, water, and construction land In the SPCR scenario accounted for 14%, 72%, 4%, 3%, and 7% of the total area, respectively. The carbon, nitrogen, and phosphorus emissions were 42.4%, 6.6%, and 7.8% lower, respectively, in the SPCR scenario than in the ND scenario, demonstrating the advantages of simultaneous pollution and carbon reduction. (2) The kappa coefficient of the CA-Markov model was 0.8729, indicating high simulation accuracy. (3) The simulated land-use spatial patterns exhibited low spatial heterogeneity under the CM, PM, and SPCR scenarios. However, there were significant disparities between the ND and SPCR scenarios. The cultivated and construction land areas were significantly smaller in the SPCR scenario than in the ND scenario. In contrast, the woodland and grassland areas were larger, with most differences in the central and southwestern regions of the Dongjiang River Basin. The results of the current study can be used to formulate effective land use policies and strategies in the Dongjiang Basin and similar areas to achieve the Coupling coordination between pollution reduction and carbon reduction. Policy recommendations include increasing the proportion of woodland and grassland, implementing reasonable constraints on expanding cultivated and construction lands, and establishing farmland red lines to promote synergistic pollution and carbon reduction.
MeSH term(s)	Ecosystem ; Conservation of Natural Resources ; Computer Simulation ; China ; Nitrogen ; Phosphorus ; Carbon
Chemical Substances	Nitrogen (N762921K75) ; Phosphorus (27YLU75U4W) ; Carbon (7440-44-0)
Language	English
Publishing date	2024-03-21
Publishing country	England
Document type	Journal Article
ZDB-ID	184882-3
ISSN	1095-8630 ; 0301-4797
ISSN (online)	1095-8630
ISSN	0301-4797
DOI	10.1016/j.jenvman.2024.120603
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Article: Water-land resource carrying capacity in China: Changing trends, main driving forces, and implications

He, Yanhu / Wang, Zirui

Journal of cleaner production. 2022 Jan. 10, v. 331

2022

Abstract: Due to significant resource and environmental pressures resulting from the rapidly developing economy and fast-growing population in recent decades in China, an evaluation of the trends of the water-land resource carrying capacity (W-LRCC) is necessary ... ...

Abstract	Due to significant resource and environmental pressures resulting from the rapidly developing economy and fast-growing population in recent decades in China, an evaluation of the trends of the water-land resource carrying capacity (W-LRCC) is necessary to promote coordinated and sustainable development. This study proposed a framework for evaluating the trends of the W-LRCC from the perspectives of the water-land resource supporting force (W-LRSF) and pressure (W-LRP) via a decoupling model combined with the ecological footprint concept and an index system. The overall and annual trends of W-LRCC in China from 2006 to 2017 at the provincial level were evaluated, and the main driving forces of the trends were analyzed. The results show that the overall change in the W-LRCC shows a declining trend, and most of the provinces exhibit expansive negative decoupling. Provinces with an increasing W-LRCC trend are mainly located in the middle and downstream portions of the Yangtze River basin. Decreases in the Completed Investment in Solid Waste Treatment Projects/Gross Domestic Product (CISWTP/GDP) and the Completed Investment in Wastewater Treatment Projects/Gross Domestic Product (CIWTP/GDP) have the largest contributions to the decrease in W-LRSF. In contrast, increases in the Domestic Waste Sanitary Landfill Volume/Land Area (DWSL/LA) and Ecological Water Compensation/Total Water Consumption (EWC/TWC) contribute the most to an increase in the W-LRP in most provinces. These are the main driving forces of the overall decline in the W-LRCC in China. Policies that could improve the W-LRCC at the provincial level in China include the systematic implementation of appropriate land resource management measures, soil pollution prevention, promoting effective resource and technology exchanges among the provinces, increasing the investment in wastewater treatment projects, and implementing the most stringent water management system. This study has the potential to deepen our understanding of the W-LRCC trend and its spatial pattern and regional differences in China and provide suggestions for coordinated and sustainable regional water/land resource development plans.
Keywords	decline ; ecological footprint ; gross domestic product ; land management ; landfills ; management systems ; models ; pollution control ; resource management ; soil pollution ; solid wastes ; sustainable development ; wastewater treatment ; water management ; watersheds ; China ; Yangtze River
Language	English
Dates of publication	2022-0110
Publishing place	Elsevier Ltd
Document type	Article
ISSN	0959-6526
DOI	10.1016/j.jclepro.2021.130003
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Article ; Online: Improvement of sediment yield index model through incorporating rainfall erosivity

Xu, Daoguo / He, Yanhu / Tan, Qian

Environ Sci Pollut Res. 2023 Mar., v. 30, no. 13 p.38141-38156

2023

Abstract: Soil erosion and sediment yield in watersheds are comprehensively affected by land use/cover changes and climatic factors. The current sediment yield index (SYI) model incorporates parameters of area (A), delivery ratio (DR), and curve number (CN), which ...

Abstract	Soil erosion and sediment yield in watersheds are comprehensively affected by land use/cover changes and climatic factors. The current sediment yield index (SYI) model incorporates parameters of area (A), delivery ratio (DR), and curve number (CN), which reflect the character of underlying surface conditions, while the impact of rainfall intensity on sediment yield could not be properly considered. This study aims to improve the current SYI model by introducing rainfall-related factors such as rainfall erosivity (R) and applying it to estimate the sediment yield of river basin. Taking the Dongjiang River basin, South China, as a case study, the performances of the improved simplified SYI model (SYI-CN + R) were compared and demonstrated at multi-spatiotemporal scales. The results showed that (1) compared with the SYI model which only has the parameter CN (SYI-CN), the model SYI-CN + R achieves better simulation performances at yearly (the efficiency coefficient (CE) is 81% in the whole basin and 62% in the sub-basin) and half-month (CE is 69% in the whole basin and 57% in the sub-basin) time scales. (2) On the basin scale, the simulation performance in the whole basin is better overall compared to that in the sub-basin, and the model SYI-CN + R at the half-month time scale is more suitable for the sediment yield simulation in the Dongjiang River basin, with higher value of correlation coefficient (CC) of 87% and 83% for the whole basin and the sub-basin, respectively. And (3) the values of CN and R have an obvious spatial gradient in the whole basin, showing an increasing trend from northeast to southwest as a whole, with larger values concentrated in the lower reaches and smaller values in the middle and upper reaches. This study extends the application and improves the performance of the SYI model, and provides a basis for soil and water conservation in a river basin with fewer observation data.
Keywords	basins ; case studies ; land use ; models ; rain ; rain intensity ; sediment yield ; soil ; soil erosion ; water conservation ; watersheds ; China
Language	English
Dates of publication	2023-03
Size	p. 38141-38156.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-24923-4
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Article ; Online: Water resources allocation considering water supply and demand uncertainties using newsvendor model-based framework.

He, Yanhu / Zheng, Yanhui / Chen, Xiaohong / Liu, Binfen / Tan, Qian

Scientific reports

2023 Volume 13, Issue 1, Page(s) 13639

Abstract: A novel newsvendor model-based framework for regional industrial water resources allocation that considers uncertainties in water supply and demand was proposed in this study. This framework generates optimal water allocation schemes while minimizing ... ...

Abstract	A novel newsvendor model-based framework for regional industrial water resources allocation that considers uncertainties in water supply and demand was proposed in this study. This framework generates optimal water allocation schemes while minimizing total costs. The total cost of water allocation consists of the allocated water cost, the opportunity loss for not meeting water demand, and the loss of the penalty for exceeding water demand. The uncertainties in water demand and supply are expressed by cumulative distribution functions. The optimal water allocation for each water use sector is determined by the water price, the unit loss of the penalty and opportunity loss, and the cumulative distribution functions. The model was then applied to monthly water allocation for domestic, industrial, and agricultural water use in two counties of Huizhou City, China, whose water supply mainly depends on Baipenzhu Reservoir. The water demand for each water use sector and the monthly reservoir inflow showed good fits with the uniform and P-III distributions, respectively. The water demand satisfied ratio for each water use sector was stable and increased for the optimal water allocation scheme from the newsvendor model-based framework, and the costs were lower compared with the actual water allocation scheme. The novel framework is characterized by less severe water shortages, lower costs, and greater similarity to actual water use compared with the traditional deterministic multi-objective analysis model, and demonstrates strong robustness in the advantages of lower released surplus water and higher water demand satisfied ratio. This novel framework yields the optimal water allocation for each water use sector by integrating the properties of the market (i.e., determining the opportunity loss for not meeting water demand) with the government (i.e., determining the water price and the loss of the penalty for exceeding water demand) under the strictest water resources management systems.
Language	English
Publishing date	2023-08-22
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-40692-7
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Article ; Online: Improvement of sediment yield index model through incorporating rainfall erosivity.

Xu, Daoguo / He, Yanhu / Tan, Qian

Environmental science and pollution research international

2022 Volume 30, Issue 13, Page(s) 38141–38156

Abstract	Soil erosion and sediment yield in watersheds are comprehensively affected by land use/cover changes and climatic factors. The current sediment yield index (SYI) model incorporates parameters of area (A), delivery ratio (DR), and curve number (CN), which reflect the character of underlying surface conditions, while the impact of rainfall intensity on sediment yield could not be properly considered. This study aims to improve the current SYI model by introducing rainfall-related factors such as rainfall erosivity (R) and applying it to estimate the sediment yield of river basin. Taking the Dongjiang River basin, South China, as a case study, the performances of the improved simplified SYI model (SYI-CN + R) were compared and demonstrated at multi-spatiotemporal scales. The results showed that (1) compared with the SYI model which only has the parameter CN (SYI-CN), the model SYI-CN + R achieves better simulation performances at yearly (the efficiency coefficient (CE) is 81% in the whole basin and 62% in the sub-basin) and half-month (CE is 69% in the whole basin and 57% in the sub-basin) time scales. (2) On the basin scale, the simulation performance in the whole basin is better overall compared to that in the sub-basin, and the model SYI-CN + R at the half-month time scale is more suitable for the sediment yield simulation in the Dongjiang River basin, with higher value of correlation coefficient (CC) of 87% and 83% for the whole basin and the sub-basin, respectively. And (3) the values of CN and R have an obvious spatial gradient in the whole basin, showing an increasing trend from northeast to southwest as a whole, with larger values concentrated in the lower reaches and smaller values in the middle and upper reaches. This study extends the application and improves the performance of the SYI model, and provides a basis for soil and water conservation in a river basin with fewer observation data.
MeSH term(s)	Geologic Sediments ; Environmental Monitoring/methods ; Soil ; Rivers ; Conservation of Water Resources ; China
Chemical Substances	Soil
Language	English
Publishing date	2022-12-28
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-24923-4
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Article ; Online: Improvement of WEAP model considering regional and industrial water distribution priority and its application

Cheung, Chiu-yee / He, Yanhu / Chen, Xiaohong / Tan, Qian

Journal of Hydrology: Regional Studies. 2023 June, v. 47 p.101414-

2023

Abstract: Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration (GBA). Existing Water Evaluation and Planning System (WEAP) lacks consideration of regional and industrial water distribution priority. This study proposes an improved WEAP model by ... ...

Abstract	Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration (GBA). Existing Water Evaluation and Planning System (WEAP) lacks consideration of regional and industrial water distribution priority. This study proposes an improved WEAP model by integrating regional and industrial water distribution priority determined by water supply safety. The logistic curve model was introduced for water supply safety evaluation. The improved WEAP model was applied to the water resources allocation of GBA in the year of 2019 and 2030, and the effects of water allocation schemes with different regional and industrial water distribution priorities were compared. The results indicate that the water supply safety of each city in the GBA varies with region and industry, Guangzhou, Shenzhen and Dongguan have lower degree of domestic and industrial water supply safety. River and reservoir connections are essential to the water supply safety of GBA. The water demands of Shenzhen and Dongguan cannot be satisfied during dry period in 2019, while perfectly satisfied during the dry period in 2030 due to the operation of water transfer projects. The improved WEAP model obtained more reasonable water allocation results, improving the water satisfaction rates of regions with low water supply safety. The research demonstrates the advantage of the improved WEAP model considering regional and industries priority, enhancing the applicability of the WEAP model.
Keywords	hydrology ; industry ; models ; rivers ; water allocation ; water distribution ; water supply ; Water distribution priority ; Water supply safety ; Water evaluation and planning system model ; Guangdong-Hong Kong-Macao greater bay Area urban agglomeration
Language	English
Dates of publication	2023-06
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	2814784-4
ISSN	2214-5818
ISSN	2214-5818
DOI	10.1016/j.ejrh.2023.101414
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Article: Inland Reservoir Water Quality Inversion and Eutrophication Evaluation Using BP Neural Network and Remote Sensing Imagery: A Case Study of Dashahe Reservoir

He, Yanhu / Gong, Zhenjie / Zheng, Yanhui / Zhang, Yuanbo

Water. 2021 Oct. 12, v. 13, no. 20

2021

Abstract: In this study, an inland reservoir water quality parameters’ inversion model was developed using a back propagation (BP) neural network to conduct reservoir eutrophication evaluation, according to multi-temporal remote sensing images and field ... ...

Abstract	In this study, an inland reservoir water quality parameters’ inversion model was developed using a back propagation (BP) neural network to conduct reservoir eutrophication evaluation, according to multi-temporal remote sensing images and field observations. The inversion model based on the BP neural network (the BP inversion model) was applied to a large inland reservoir in Jiangmen city, South China, according to the field observations of five water quality parameters, namely, Chlorophyl-a (Chl-a), Secchi Depth (SD), total phosphorus (TP), total nitrogen (TN), and Permanganate of Chemical Oxygen Demand (CODMn), and twelve periods of Landsat8 satellite remote sensing images. The reservoir eutrophication was evaluated. The accuracy of the BP inversion model for each water parameter was compared with that of the linear inversion model, and the BP inversion models of two parameters (i.e., Chl-a and CODMn) with larger fluctuation range were superior to the two multiple linear inversion models due to the ability of improving the generalization of the BP neural network. The Dashahe Reservoir was basically in the state of mesotrophication and light eutrophication. The area of light eutrophication accounted for larger proportions in spring and autumn, and the reservoir inflow was the main source of nutrient salts.
Keywords	autumn ; case studies ; chemical oxygen demand ; eutrophication ; models ; satellites ; spring ; total nitrogen ; total phosphorus ; turbidity ; water ; water quality ; China
Language	English
Dates of publication	2021-1012
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w13202844
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Article: Spatial patterns and influencing factors of sewage treatment plants in the Guangdong-Hong Kong-Macau Greater Bay Area, China

He, Yanhu / Tang, Changcheng / Wang, Zirui

Science of the total environment. 2021 Oct. 20, v. 792

2021

Abstract: Over the past few years the discharge of waste and sewage in the Guangdong-Hong Kong-Macau Greater Bay Area (GHMB) of China has increased, exerting a great amount of pressure on ecological protection. In this study, we focus on achieving a balanced ... ...

Abstract	Over the past few years the discharge of waste and sewage in the Guangdong-Hong Kong-Macau Greater Bay Area (GHMB) of China has increased, exerting a great amount of pressure on ecological protection. In this study, we focus on achieving a balanced spatial layout of sewage treatment plants in order to reveal the regional differences and spatial patterns of sewage treatment plants in the GHMB and identify the key factors influencing the spatial patterns. In particular, we employ POI (point of interest) geographical data to evaluate the spatial patterns and agglomeration status of sewage treatment plants in the GHMB using Exploratory Spatial Data Analysis (ESDA). We then explore the principle influencing factors of the determined spatial patterns using the geographical weighted regression model (GWR). Results demonstrate that: (1) the absolute number of sewage treatment plants is highest in the central and western regions, while the per capita of sewage treatment plants is clearly clustered in the northwest and southwest regions; (2) the absolute number of sewage treatment plants exhibits larger spatial dissimilarity than that of the per capita values, with High-High cluster types principally distributed in the conjunction areas of Jiangmen, Foshan and Zhaoqing in western GHMB and Low-Low clusters in the western Pearl River Delta (PRD) estuary; and (3) the key influencing factors are identified as GDP per capita, the output value of the primary and secondary industries and industrial water consumption. Regions with high regression coefficient fluctuations of the four influencing factors are centralized within the PRD estuary and adjacent regions. Policy recommendations including optimizing the sewage treatment plant layout, enhancing the service capacity potential of the existing sewage treatment plants and upgrading the industrial structure are proposed to promote a spatial equilibrium configuration of sewage treatment plants in the GHMB.
Keywords	environment ; estuaries ; issues and policy ; regression analysis ; river deltas ; rivers ; sewage ; sewage treatment ; spatial data ; China
Language	English
Dates of publication	2021-1020
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.148430
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Article: Spatiotemporal analysis of water resources system vulnerability in the Lancang River Basin, China

Gui, Zihan / Chen, Xiaohong / He, Yanhu

Journal of hydrology. 2021 Oct., v. 601

2021

Abstract: The Lancang River (Upper Mekong), originated from Qinghai-Tibet Plateau, is the main water source for Southeast Asia countries. In recent years, people have paid more and more attention to the impact of climate change and human activities on the Lancang ... ...

Abstract	The Lancang River (Upper Mekong), originated from Qinghai-Tibet Plateau, is the main water source for Southeast Asia countries. In recent years, people have paid more and more attention to the impact of climate change and human activities on the Lancang River water resources system. Due to external disturbances, the vulnerability of water resources in the Lancang River Basin (LRB) is also changing, leading to an increase in the probability of possible risks. This study proposes an assessment framework to evaluate water resources system vulnerability and analyze its dynamic change in the LRB during 1998–2014. Quantitative approaches for calculation of sensitivity, exposure, hazard and adaptability are respectively formulated, which highlight the impacts of natural and anthropogenic interference on water resources. Specific management strategies are put forward based on the spatial recognition of water resources system vulnerable areas in the LRB. The results indicate that the sensitivity and exposure of the LRB show an upward trend, while the adaptive capacity shows a downward trend during 1998–2014. The vulnerability of the LRB is at low level currently. However, fluctuations in its vulnerability have increased over time. As a whole, the vulnerability displays a high-to-low gradient from southeast to northwest of the LRB during the study period, the Dali region is the most vulnerable region in the LRB. The areas with high vulnerability are distributed in the southeast of the study area, mainly in the mainstream areas with characterization of frequent human interferences, tend to increase persistently. Based on the results, some suggestions targeted at different vulnerable areas were proposed. This study maps the spatiotemporal characteristics of the water resource vulnerability in the LRB, which reveals hotspot areas from climate-related threats and can provide useful information to improve the adaptation and resilience of the water resources system.
Keywords	anthropogenic activities ; climate change ; humans ; people ; river water ; rivers ; water analysis ; watersheds ; China ; Mekong River ; South East Asia
Language	English
Dates of publication	2021-10
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1473173-3
ISSN	1879-2707 ; 0022-1694
ISSN (online)	1879-2707
ISSN	0022-1694
DOI	10.1016/j.jhydrol.2021.126614
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Article ; Online: Spatial patterns and influencing factors of sewage treatment plants in the Guangdong-Hong Kong-Macau Greater Bay Area, China.

He, Yanhu / Tang, Changcheng / Wang, Zirui

The Science of the total environment

2021 Volume 792, Page(s) 148430

Abstract	Over the past few years the discharge of waste and sewage in the Guangdong-Hong Kong-Macau Greater Bay Area (GHMB) of China has increased, exerting a great amount of pressure on ecological protection. In this study, we focus on achieving a balanced spatial layout of sewage treatment plants in order to reveal the regional differences and spatial patterns of sewage treatment plants in the GHMB and identify the key factors influencing the spatial patterns. In particular, we employ POI (point of interest) geographical data to evaluate the spatial patterns and agglomeration status of sewage treatment plants in the GHMB using Exploratory Spatial Data Analysis (ESDA). We then explore the principle influencing factors of the determined spatial patterns using the geographical weighted regression model (GWR). Results demonstrate that: (1) the absolute number of sewage treatment plants is highest in the central and western regions, while the per capita of sewage treatment plants is clearly clustered in the northwest and southwest regions; (2) the absolute number of sewage treatment plants exhibits larger spatial dissimilarity than that of the per capita values, with High-High cluster types principally distributed in the conjunction areas of Jiangmen, Foshan and Zhaoqing in western GHMB and Low-Low clusters in the western Pearl River Delta (PRD) estuary; and (3) the key influencing factors are identified as GDP per capita, the output value of the primary and secondary industries and industrial water consumption. Regions with high regression coefficient fluctuations of the four influencing factors are centralized within the PRD estuary and adjacent regions. Policy recommendations including optimizing the sewage treatment plant layout, enhancing the service capacity potential of the existing sewage treatment plants and upgrading the industrial structure are proposed to promote a spatial equilibrium configuration of sewage treatment plants in the GHMB.
MeSH term(s)	China ; Hong Kong ; Macau ; Rivers ; Sewage
Chemical Substances	Sewage
Language	English
Publishing date	2021-06-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.148430
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