Midstream Areas Research Articles

Ecological risk and source identifications of heavy metals contamination in the water and surface sediments from anthropogenic impacts of urban river, Indonesia

Heavy metal pollution in urban rivers corresponds to anthropogenic impacts. Considering the environmental importance of the Winongo River for domestic use, agriculture, and fisheries, a comprehensive study of heavy metal contamination in this river needs to be conducted. This research focused on the assessment of heavy metal in the water and sediment using the enrichment factor (EF), geo-accumulation index (Igeo), Ecological Risk Index (Er), and Potential ecological risk index (RI). Results showed that the concentrations of the heavy metals Pb, Cu, Cd, Al, and Fe in the water samples exceeded thresholds. Based on EF, Igeo, and Er assessment, the level of contamination by the heavy metals Pb, Cu, Cr, and Cd was found to be low, and that by Fe and Al was found to be moderate to high. The mean values of heavy metals in sediment in the descending order are as follows Fe > Al > Pb > Cu > Cr > Cd (1,445, 2692.42, 0.17, 0.048, 0.016, 0 mg/kg) respectively. Meanwhile, the mean values of heavy metals in the water in descending were Al (1.208), Fe (0.857), Pb (0.155), Cu (0.018), Cr (0.009), and Cd (0 mg/L) respectively. The sources pollution of Cu, Cd, and Pb were identified as anthropogenic sources such as city effluent, road, fisheries, and mechanic workshops. Fe and Al from sediment exhibit strong correlation (r = 0.688). This suggests that Fe and Al possibly comes from same sources originating from earth materials. In general, the potential risk assessment showed that in the Winongo River, the midstream area had higher pollution levels than the downstream and upstream areas (pollution in midstream > downstream > upstream). The sources of pollution in the midstream were identified as city effluent, roads, fisheries, and mechanic workshops. For this reason, the findings of this research are expected to provide a scientific basis for pollution control.

Synergistic Change and Driving Mechanisms of Hydrological Processes and Ecosystem Quality in a Typical Arid and Semi-Arid Inland River Basin, China

Global warming and human activities are complicating the spatial and temporal relationships between basin hydrologic processes and ecosystem quality (EQ), especially in arid and semi-arid regions. Knowledge of the synergy between hydrological processes and ecosystems in arid and semi-arid zones is an effective measure to achieve ecologically sustainable development. In this study, the inland river basin Ulagai River Basin (URB), a typical arid and semi-arid region in Northern China, was used as the study area; based on an improved hydrological model and remote-sensing and in situ measured data, this URB-focused study analyzed the spatial and temporal characteristics of hydrological process factors, such as precipitation, evapotranspiration (ET), surface runoff, lateral flow, groundwater recharge, and EQ and the synergistic relationships between them. It was found that, barring snowmelt, the hydrological process factors such as precipitation, ET, surface runoff, lateral flow, and groundwater recharge had a rising trend in the URB, since the 20th century. The rate of change was higher in the downstream areas when compared with what it was in the upstream and midstream areas. The multi-year average of EQ in the basin is 53.66, which is at a medium level and has an overall improving trend, accounting for 95.14% of the total area, mainly in the upstream, downstream southern, and downstream northern areas of the basin. The change in relationship between the hydrological process factors and EQ was found to have a highly synergistic effect. Temporally, EQ was consistent with the interannual trends of precipitation, surface runoff, lateral flow, and groundwater recharge. The correlation between the hydrological process factors and EQ was found to be higher than 0.7 during the study period. Spatially, the hydrological process factors had a synergistic relationship with EQ from strong to weak upstream, midstream, and downstream, respectively. In addition, ecosystem improvements were accelerated by government initiatives such as the policy of Returning Grazing Land to Grassland Project, which has played an important role in promoting soil and water conservation and EQ. This study provides theoretical support for understanding the relationship between hydrological processes and ecological evolution in arid and semi-arid regions, and it also provides new ideas for related research.

Research on the Spatio-Temporal Characteristics and Influence Path of High-Quality Economic Development from the Perspective of Urban Land Transfer

The transfer of urban land is an important means for the government to optimize the allocation of resources and promote economic development, and its impact on high-quality economic development (HQED) in the new era is worthy of attention. Based on the panel data of 108 cities in the Yangtze River Economic Belt from 2004 to 2017, the entropy method and panel regression model are used to analyze the direct, indirect, and non-linear effects of land transfer on HQED. The study found that: (1) The HQED level of the Yangtze River economic belt increased steadily from 2004 to 2017, but the overall level was low, showing the spatial characteristics of high downstream and low middle and upstream. (2) Urban land transfer (ULT) has a significant positive direct impact on HQED, especially in the upper and middle reaches, while the indirect impact is more beneficial to the downstream areas. The impact of industrial structure upgrading (uis) and urbanization (urb) on HQED is significantly negative in the upstream area, while significantly positive in the downstream area. (3) There is a significant threshold effect in ULT, and its positive impact on HQED decreases with the expansion of the threshold scale, but increases in the upstream and midstream areas. The overall impact of uis and urb shows inverted “U” characteristics and significant differences in different areas. The conclusion is that the government should first further reform the land resource management system, and then improve the efficiency of construction land use, to reduce the dependence on land resources, and finally promote the upgrading of industrial structure and improve the quality of urbanization.

Watershed-Scale Shallow Groundwater Anthropogenic Nitrate Source, Loading, and Contamination Assessment in a Typical Wheat Production Region: Case Study in Yiluo River Watershed, Middle of China

Nitrate pollution in groundwater has become a global concern for agriculture and regional ecology. However, tracing the spatiotemporal groundwater nitrate pollution sources, calculating the total nitrogen loading, and assessing contamination at the watershed scale have not been well documented. In this study, 20 groundwater samplings from 2020 to 2021 (in dry and wet seasons) on the Yiluo River watershed in middle China were collected. Tracing groundwater nitrate pollution sources, calculating total nitrogen loading, and assessing contamination using dual isotopes (18ONO3 and 15NNO3), conservation of mass, and the nitrate pollution index (NPI), respectively. The results indicated that there were three nitrate sources in groundwater: (1) manure and sewage waste input (MSWI), (2) sediment nitrogen input (SNI), and (3) agriculture chemical fertilizer input (ACFI) in the Yiluo River watershed. ACFI and SNI were the main groundwater nitrogen pollution sources. The average nitrogen loading percentages of ACFI, SNI, and MSWI in the whole watershed were 94.7%, 4.34%, and 0.96%, respectively. The total nitrogen loading in the Yiluo River watershed was 7,256,835.99 kg/year, 4,084,870.09 kg/year in downstream areas, 2,121,938.93 kg/year in midstream areas, and 1,050,026.95 kg/year in upstream areas. Sixty percent of groundwater in the Yiluo River watershed has been polluted by nitrate. Nitrate pollution in midstream areas is more severe. Nitrite pollution was more serious in the wet season than in the dry season. The results of this study can provide useful information for watershed-scale groundwater nitrogen pollution control and treatment.

Health Risk Assessment Based on Source Identification of Heavy Metal(loid)s: A Case Study of Surface Water in the Lijiang River, China.

In this study, 24 surface water samples were collected from the main trunk/tributary of the Lijiang River during the wet season (April) and the dry season (December) in 2021. The total concentration of 11 heavy metal(loid)s (Al, Cu, Pb, Zn, Cr, Ni, Co, Cd, Mn, As, and Hg) was determined to investigate their physicochemical properties and spatial-temporal distribution characteristics. The heavy metal evaluation index (HEI) and the positive matrix factorization (PMF) model were employed to evaluate water quality and to reveal quantitatively identified pollution sources for further investigation to obtain a health risk assessment using the hazard index (HI) and carcinogenic risk (CR) of various pollution sources. The mean concentrations of heavy metal(loid)s in surface water in the wet and dry seasons were ranked as: Al > Mn > Zn > Ni > Cd > Cr > Cu > As >Hg = Pb > Co, with the mean concentration of Hg being higher than the national Class II surface water environmental quality standard (GB3838-2002). In terms of time scale, the concentration of most heavy metal(loid)s was higher in the wet season; most heavy metal(loid)s were distributed mainly in the midstream area. HEI index indicated that the main water quality status was "slightly affected" in the study area. Five potential sources of pollution were obtained from the PMF model, including industrial activities, traffic sources, agricultural activities, domestic waste emissions, and natural resources. The source-oriented risk assessment indicated that the largest contributions of HI and CR were agricultural sources in the Lijiang River. This study provides a "target" for the precise control of pollution sources, which has a broad impact on improving the fine management of the water environment in the basin.

The Tourism Eco-Efficiency Measurement and Its Influencing Factors in the Yellow River Basin

Tourism eco-efficiency is an essential indicator to measure the level of green and sustainable development of tourism. Based on the data of nine provinces in the Yellow River Basin, from 2011 to 2020, this article estimates the changes in tourism eco-efficiency in the Yellow River Basin and explores its internal drivers by establishing multiple input-output index systems using the Global Malmquist-Luenberger (GML) index method. Finally, a panel stochastic Tobit model was applied to identify the key external drivers of its eco-efficiency improvement. The analysis shows that with the continuous promotion of the Yellow River Basin’s high-quality development strategy and ecological civilization construction, the tourism eco-efficiency of the Yellow River Basin provinces has been improved in the past decade. Due to the obvious ecological advantages in the upper reaches of the Yellow River Basin and the high level of tourism promotion and economic development in the lower reaches, tourism ecological efficiency in the upstream and downstream areas is commonly higher than in the midstream areas. The improvement of efficiency is the internal core driver of regional tourism eco-efficiency, but the essence of eco-efficiency improvement lies in technological progress. In the analysis of the impact of external drivers on tourism eco-efficiency, tourism economy scale, tourism industry structure, technological innovation, and economic development are the crucial external factors to eco-efficiency enhancement. This work can serve as a guide for the high-level growth of regional tourism industry.

Assessing the changes in river water quality across a land-use change (forest to oil palm plantation) in peninsular Malaysia using the stable isotopes of water and nitrate

Land conversion from natural forests to plantations (e.g., oil palm) in Southeast Asia is one of the most intensive land-use changes occurring worldwide. To clarify the effects of oil palm plantations on water quality, we conducted multipoint river and stream water sampling in peninsular Malaysia at the end of the rainy season over a 3-year period (2013–2015). We measured the major dissolved ions and stable isotope ratios of water (δ2H-H2O and δ18O-H2O) and nitrate (δ15N-NO3− and δ18O-NO3−) in water from the upper streams in mountainous forests to the midstream areas of two major rivers in peninsular Malaysia. The electrical conductivity increased, and the d-excess value (as an index of the degree of evaporation) decreased with increasing distance from the headwaters, suggesting the effect of evaporative enrichment and the addition of pollutants. We separated the sampling points into four groups (G1–G4) through cluster analysis of the water quality data. From the land use/land cover (LULC) classification maps developed from satellite images and local information, we found that G1 and G2 mainly consisted of sampling points in forested areas, while G3 and G4 were located in oil-palm-affected areas. The concentrations of major ions were higher in the oil palm areas, indicating the effects of fertilizer and limestone (i.e., pH adjustment) applications. The dissolved inorganic nitrogen concentration did not differ among the groups, but the dissolved organic carbon, total dissolved nitrogen, and δ15N-NO3− were higher in the oil palm area than in the forested area. Although the nitrogen concentration was low, even in the oil palm area, the significantly higher δ15N-NO3− in the oil palm area indicated substantial denitrification. This implies that denitrification contributed to the lowering of the NO3− concentration in rivers in the oil palm area, in addition to nutrient uptake by oil palm trees.

Evolution Simulation and Risk Analysis of Land Use Functions and Structures in Ecologically Fragile Watersheds

The evolution of land use functions and structures in ecologically fragile watersheds have a direct impact on regional food security and sustainable ecological service supply. Previous studies that quantify and simulate land degradation in ecologically fragile areas from the perspective of long-term time series and the spatial structure of watersheds are rare. This paper takes the Huangshui Basin of the Qinghai-Tibet Plateau in China as a case study and proposes a long-time series evolution and scenario simulation method for land use function using the Google Earth Engine platform, which realizes the simulation of land use function and structure in ecologically fragile areas by space–time cube segmentation and integrated forest-based prediction. This allows the analysis of land degradation in terms of food security and ecological service degradation. The results show that: (1) the land use function and structure evolution of the Huangshui watershed from 1990 to 2020 have a significant temporospatial variation. In the midstream region, the construction land expanded 151.84% from 1990 to 2004, driven by urbanization and western development policy; in the middle and downstream region, the loss of farmland was nearly 12.68% from 1995 to 2005 due to the combined influence of the policy of returning farmland to forest and urban expansion. (2) By 2035, the construction land in the watershed will be further expanded by 28.47%, and the expansion intensity will be close to the threshold in the upstream and midstream areas and will continue to increase by 33.53% over 2020 in downstream areas. (3) The evolution of land use function and structure will further induce land degradation, causing a 15.30% loss of farmland and 114.20 km2 of occupation of ecologically vulnerable areas, seriously threatening food security and ecological protection. Accordingly, this paper proposes policy suggestions to strengthen the spatial regulation for land degradation areas and the coordination of upstream, midstream, and downstream development.

Environmental regulation effect on green total factor productivity in the Yangtze River Economic Belt

As a typical watershed ecological economy in China, the Yangtze River Economic Belt has two equally important objectives, namely ecological protection and economic development. Improving green total factor productivity is an essential approach to achieve these two objectives and promote sustainable growth in this area as well as the whole country. Therefore, this study explores the impact of environmental regulation on green total factor productivity with a panel data of 108 cities in the Yangtze River Economic Belt between 2003 and 2019. We first adopt the super slacks-based measure model to estimate city-level green total factor productivity. With kernel density curve, we find that green total factor productivity shows a downward pressure, and its absolute difference among cities shows a narrowing trend. Trend surface analysis displays an inverted U-shaped as well as a U-shaped spatial structures of green total factor productivity in the north-south as well as east-west directions, respectively. By using Spatial Durbin Model, we find a U-shaped direct impact of environmental regulation on green total factor productivity for the entire sample and three subsamples. For an indirect effect, environmental regulation has a positive spatial spill-over impact in the entire area; an insignificant effect in upstream and midstream areas; and an inverted U-shaped spatial spill-over in downstream area. Besides, we utilize threshold effect analysis to explore the impacts of technology innovation. The results show a single-threshold effect of technology innovation and the promotion effect decreases when technology innovation expenditure exceeds the threshold value. Based on our research findings, we suggest that the authorities should adhere to implementing and increasing the intensity of environmental regulation, so as to achieve better policy results. Moreover, local governments should keep technological innovation expenditure at a reasonable level to maximize the promoting effect of environmental regulation on green total factor productivity.

Insights into the role of the microbial community lifestyle strategies in variations of the dissolved organic matter molecular composition along an effluent-dominated river

Urbanization has dramatically changed the quality and quantity of dissolved organic matter (DOM) fluxes in rivers, thereby affecting the diversity and lifestyle strategies of microbial communities. However, relationships between DOM molecular composition and microbial lifestyle strategies in effluent-dominated rivers are poorly understood. Herein, we investigated the variations in DOM structure and composition of an effluent-dominated river and further revealed how these changes alter the abundance and lifestyle strategies of microbial communities. Results demonstrated that macromolecular (MW > 35 kDa) humic-like substances constituted the major components of effluent-dominated riverine DOM. Also, due to the degradation of humic-like substances, the accumulation of protein-like substances was observed from upstream to downstream areas, corresponding to an apparent decrease in overall aromaticity. The abundance of bacterial, Actinobacteria, and eukaryotic was higher in the upstream and midstream areas but relatively lower in the downstream area. The response of bacterial and Actinobacteria communities to the changes in DOM composition was more prominent as compared to that of eukaryotic. Based on multivariate statistical analysis, the decrease in aromatic components (MW > 35 kDa) was mainly attributed to the degradation of Proteobacteria and Actinobacteria (K-strategists), resulting in a decrease in their relative abundance along the river course. Proteins and polysaccharides (15 kDa < MW < 35 kDa, MW < 6 kDa) were more easily utilized by Firmicutes and Bacteroidetes (r-strategists), leading to an increase in their relative abundance. With the decrease of macromolecular humic-like substances and the increase of protein-like substances, river microbial communities shifted from K-strategists to r-strategists. This work unveils the evolution of DOM in an effluent-dominated river and the influence of the degradation of macromolecular humic-like substances on r/K-strategists.

Spatial variability of runoff recharge sources and influence mechanisms in an arid mountain flow‐producing zone

AbstractIn‐depth knowledge of the hydrological conditions of basins in arid regions can help to maintain the long‐term water security. The mechanisms of runoff generation and flow paths in different landscape areas are not fully known due to spatial variability. We have explored the mechanisms by which spatial variability affects the runoff recharge sources in the Xiying River Basin. The results showed that the spatial variability of the sources and generation mechanisms of runoff in the arid mountain flow‐producing zone is the result of the combined effect of different landscape, elevation and meteorological elements. In the upstream area, the short mean transit time (MTT) combined with the high contribution of recharge from the meltwater (29.32%) and the proportion of pre‐event water (between 60% and 90%) means that runoff production processes are strongly controlled by meltwater recharge and precipitation events. The MTT and the proportion of pre‐event water in the midstream area are ranked in the middle of the three landscape areas, but the highest contribution of precipitation (16.57%) indicates the importance of precipitation to runoff production processes. In the downstream area, the MTT is the longest and the proportion of pre‐event water is the smallest, and groundwater remains the basis for long‐term stability of runoff (groundwater contribution rate: 40.62%). By enhancing the spatial resolution for identifying runoff recharge sources can reduce the model uncertainty by 69%. Thus, taking full account of the spatial heterogeneity in arid regions is an important initiative to achieve scientific water resources management.

Watershed carbon compensation based on land use change: Evidence from the Yangtze River Economic Belt

Watershed carbon compensation can not only reduce carbon emissions but also promote regional coordinated development. Although existing studies have shown that carbon compensation can act as a mechanism to balance regional development and conservation goals, there is relatively little knowledge about carbon compensation taking land use change into consideration. This study, building on the theoretical framework of watershed carbon compensation, calculates the carbon emissions based on land use change in the Yangtze River Economic Belt, analyses its spatial differentiation and constructs a carbon compensation model. The results show that from 1990 to 2018, carbon emissions from land use have almost quadrupled, from 1.74 × 108 tons to 6.76 × 108 tons. Cities with high carbon emissions from land use are concentrated in economically developed downstream areas or mid-upstream urban agglomerations. As for carbon compensation, the total amount of it in Yangtze River Economic Belt has gradually increased over the past 29 years. Spatially in 2018, the upstream area received 1.31 × 108 tons of carbon compensation, the midstream area received 5.40 × 107 tons and the downstream area provided 2.83 × 108 tons. Furthermore, this study discusses reduction measures of carbon emission in watershed based on the optimisation of land use patterns, and horizontal and vertical watershed carbon compensation. It suggests the conditions and paths of watershed carbon compensation based on land use change from the four perspectives of socio-economic foundation, institutional environment, governance structure and resource allocation.

Spatiotemporal change of ecologic environment quality and human interaction factors in three gorges ecologic economic corridor, based on RSEI

The Three Gorges Ecologic Economic (Eco-Economic) Corridor is an ecological barrier in the Yangtze River's upstream and midstream areas. Due to anthropogenic activities, the corridor's ecologic environment quality has waned over the last few years. To achieve economic sustainability in this region, the premise is to assess the quality of the ecological environment in the corridor, which comprises the main counties, and to identify its response to human activities. As a result, this article developed the Remote Sensing Ecologic Index (RSEI) using MODIS data in the Three Gorges Eco-Economic Corridor from 2001 to 2019 to examine its ecological environment. Then human interaction factors affecting ecologic environment quality were probed using a Geographical Detector (geo-detector). The results showed that: (1) From 2001 to 2019, the average RSEI index of the Three Gorges Eco-Economic Corridor ranged between 0.474 and 0.655. The areas with ecological environment quality significantly worse and worse grades gathered in eastern and western regions, which is located alongside the Yangtze River and gradually radiated to surrounding areas. (2) The average ecologic environment quality level in the Three Gorges Eco-Economic Corridor was 78.19%, stable at about 75% −80% in most cases and medium and good area accounts for the main part. (3) Compared with the contribution of a single factor, multi-factor interaction had another noticeable effect on ecologic environment quality. Moreover, the top 10 multi-factor interactions were mainly between GDPs per capita and agriculture, forestry, animal husbandry, and fishery. Our research findings can be used to the realization of green economic growth in the Three Gorges Eco-Economic Corridor.

Spatio-Temporal Patterns of Land-Use Changes and Conflicts between Cropland and Forest in the Mekong River Basin during 1990–2020

The Mekong River Basin (MRB) has experienced drastic and extensive land-use and land-cover changes (LULCCs) since the 1990s, including the conflicts between cropland and forest, yet remain quantitatively uninvestigated. With three decades (1990–2020) of land-use products, here we reveal the characteristics of LULCCs and the conflicts between cropland and forest in the MRB and its three sub-basins, i.e., upstream area (UA), midstream area (MA), and downstream area (DA). The four main results are as follows: (1) Since 1990, the dominated features are forest loss and cropland expansion in the MRB and show obvious sub-basin differences. (2) The LULCC was most active before 2000, with a comprehensive dynamic degree of almost 2%. Among them, construction land has the highest single dynamic degree (5%), especially in the DA, reaching 12%. (3) The key features of land-use transfer are the interconversions of forest and cropland, as well as cropland converted into construction land. About 18% (63,940 km2) of forest was reclaimed as cropland, and 17% (45,967 km2) of cropland was returned to forest in the past 31 years. (4) The conflict between cropland and forest was the most dominant LULCC, accounting for 86% of the MRB area. Overall, cropland expansion and forest loss (CEFL) were more dominant in the DA, while cropland fallow and forest restoration (CFFR) had an advantage in the MA. Indeed, CEFL was mainly seen in the plains below a 200 m elevation level, while CFFR tended to occur in the highlands. Our basin-scale study can enrich the existing pan-regional results of LULCCs, and facilitates the understanding of the dynamics and related mechanisms of CFER and CFFR in the tropics.

Coordination of the Industrial-Ecological Economy in the Yangtze River Economic Belt, China

The Yangtze River Economic Belt (YREB) is an important growth pole of China’s economy, but it is also one of the most environmentally polluted basins in China. Maintaining the vitality of economic development while at the same time realizing the coordinated development of industry and ecosystems, is an important issue that needs in-depth discussion and research. This paper analyzes the degree of coordination regarding the industrial-ecological economy in the YREB, identifies important influencing factors, and puts forward measures for improvement. First, an evaluation model of the industrial-ecological economy is constructed. Second, a model is constructed for the measurement of the coordination degree of the industrial economy and industrial ecology based on the Lotka-Volterra Model. Third, the relationship is assessed with respect to competition versus cooperation. Finally, the important factors affecting coordination are identified using a Neural Network Model. Four main conclusions can be drawn: 1) The comprehensive development of the industrial economy and industrial ecology in 11 provinces and cities in the YREB is generally trending upward. 2) The coordination level of the industrial-ecological economy in the midstream area is high. The provinces Jiangsu, Jiangxi, Sichuan, and Guizhou are in a coordinated state. 3) The midstream area has a more balanced industrial-ecological economy with significant symbiosis between the industrial economy and industrial ecology. Jiangsu, Jiangxi, Sichuan, and Guizhou Provinces show a symbiotic relationship; Shanghai City, Chongqing City, and Anhui Province show a partially symbiotic relationship; and Zhejiang, Hubei, Hunan, and Yunnan Provinces show a mutually inhibitory relationship. 4) The industrial ecosystem is the largest factor in the degree of coordination, and intensity of R&amp;amp;D investment, regional GDP per capita, and proportion of tertiary-industry added-value in GDP also have a great impact. Based on this analysis, this paper proposes measures for high-quality development of the industrial-ecological economy of the YREB with regard to balanced development of the industrial economy, transformation and upgrading of the surrounding environment, along with coordinated and integrated development.

Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities

This article evaluated the urban land use efficiency (ULUE) of 57 cities in the Yellow River Basin (YRB) from 2005 to 2017 with the super epsilon based measure (Super-EBM) model, analyzed its difference characteristics and evolution trend by using the Theil index and kernel density function, revealed its spatial correlation by Moran index and LISA clustering, and also explored its influencing factors by the Tobit model. The results show that the ULUE of the YRB first declined and then increased, with the highest in the upstream areas, followed by the downstream areas, while the lowest in the middle reaches of the YRB. The ULUE in the YRB presented the characteristics of continuous distribution, and the ULUE in the cities south of the Yellow River was significantly higher than that in the cities north of the Yellow River. Secondly, the imbalance of ULUE in the YRB was aggravated, and the difference between groups was small while the difference within the group was absolutely dominant. The imbalance of ULUE in the midstream areas of the YRB dominated the whole basin. Thirdly, the ULUE of the YRB had a significant spatial correlation. In 2017, the local spatial correlation was mainly low-low aggregation, and the clustering area was concentrated in resource-based cities in Shanxi Province. Finally, the impact of economic development on ULUE in the YRB presented a "U" curve relationship. The proportion of secondary industry, population density, introduction of foreign capital, innovation level and traffic facilities can significantly promote the ULUE in the Basin, while land urbanization and environmental regulation had a negative impact on the ULUE of the YRB. This paper is important to realize the intensive use of urban land and achieve high-quality development in the YRB.

Performance evaluation of LoRa based sensor node and gateway architecture for oil pipeline management

These days, the oil industrial industry is leaning toward employing smart field improvements to streamline various activities in the midstream area. Oil transportation over large distances via pipelines has a cheap cost and high efficiency in this sector. If pipelines are not properly maintained, they may fail, potentially causing catastrophic, long-term, and irreversible consequences on both natural and human conditions. Low power wide area networks (LPWANs) are without a doubt one of the domains that cause the most from industrial fields when it comes to realizing the vision of the internet of things (IoT). Long-range (LoRa) is an emerging LPWAN technology that is particularly useful for transmitting data over long distances. The goal of this work is to offer a methodology for managing oil pipelines over long distances utilizing the LoRa communication protocol and the installation of sensor nodes and LoRa gateways along the pipeline. We also used the optimized network engineering tools (OPNET) simulator to examine various simulation findings of LoRa performance.

Spatial Differentiation and Influencing Factors of Water Pollution-Intensive Industries in the Yellow River Basin, China.

The structure adjustment and layout optimization of water pollution-intensive industries (WPIIs) are crucial to the health and sustainable development of the watershed life community. Based on micro-detailed data of Chinese industrial enterprises from 2003 to 2013, we analyzed and revealed the spatial differentiation characteristics and influencing factors of WPIIs in the Yellow River Basin (YRB) from 2003 to 2013 by constructing a water pollution-intensive index and integrating kernel density estimation and geographically weighted regression models from a watershed perspective. The results show that: (1) the scale of WPIIs in the YRB showed a growth trend from 2003 to 2013, and the output value increased from 442.5 billion yuan in 2003 to 6192.4 billion yuan in 2013, an increase of 13 times. (2) WPIIs are generally distributed in an east-west direction, and their spatial distribution is river-side, with intensive distribution in the downstream areas and important tributaries such as Fen River and Wei River. (3) WPIIs are generally clustered in high density downstream, but the spatial clustering characteristics of different industries varied significantly. The chemical industries, paper industries, etc. were mainly concentrated in downstream areas. Processing of food from agricultural products was distributed in the upper, middle and downstream areas. Resource-intensive industries such as coal and oil were concentrated in energy-rich midstream areas. (4) Natural resource endowment was the main factor affecting the distribution of WPIIs in the midstream and upstream areas of the basin, and technological innovation played a significant role in the distribution of downstream industries. The level of economic development and industrial historical foundation promoted the geographical concentration of industries. The scale of wastewater discharge and the proximity of rivers influenced the concentration of industries in the midstream and downstream.

Land Use and Land Cover Change in the Yellow River Basin from 1980 to 2015 and Its Impact on the Ecosystem Services

Land use and land cover change is an important driving force for changes in ecosystem services. We defined several important human-induced land cover change processes such as Ecological Restoration Project, Cropland Expansion, Land Degradation, and Urbanization by the land use/land cover transition matrix method. We studied human-induced land cover changes in the Yellow River Basin from 1980 to 2015 and evaluated its impact on ecosystem service values by the benefit transfer method and elasticity coefficient. The results show that the cumulative area of human-induced land cover change reaches 65.71 million ha from 1980 to 2015, which is close to the total area of the Yellow River Basin. Before 2000, Ecological Restoration Project was the most important human-induced land cover change process. However, due to the large amount of cropland expansion and land degradation, the area of natural vegetation was reduced and the ecosystem value declined. Since 2000, due to the implementation of the “Grain for Green” program, the natural vegetation of upstream area and midstream area of Yellow River Basin has been significantly improved. This implies that under an appropriate policy framework, a small amount of human-induced land cover change can also improve ecosystem services significantly.

Source-specific risk apportionment and critical risk source identification of antibiotic resistance in Fenhe River basin, China

A comprehensive understanding of the sources and distribution of antibiotic resistance risk is essential for controlling antibiotic pollution and resistance. Based on surface water samples collected from the Fenhe River basin in the flood season, using the positive matrix factorization (PMF) model, the risk quotient (RQ) method and the multiple attribute decision making (MADM) method, the resistance risk and source-specific resistance risk of antibiotics were analyzed in this study. The results showed that sulfonamides (SAs) were the dominant antibiotics with a mean concentration of 118.30 ng/L, whereas tetracyclines (TCs) and macrolides (MLs) had the highest detection frequencies (100%). The significant resistance risk rate of antibiotics in the entire river basin was 48%, but no high risk occurred. The significant resistance risk rate of quinolones (QNs) was the highest (100%), followed by that of MLs and TCs. Owing to human activities, the most serious resistance risk occurred in the midstream of the river basin. The resistance risk was the lowest upstream. The antibiotics were mainly contributed by six sources. Pharmaceutical wastewater was the main source, accounting for 30%, followed by livestock discharge (22%). The resistance risk from the six sources showed clear differences, but none of the sources caused a high risk of antibiotic resistance. Pharmaceutical wastewater poses the greatest risk of antibiotic resistance in the Fenhe River basin and is widely distributed. The second greatest source was livestock discharge, which was mainly concentrated in the upstream and midstream areas. The critical sources upstream, midstream, and downstream were all pharmaceutical wastewater, whereas the sequences of other sources were different because different areas were affected by different human activities. The proposed method might provide an important reference for the identification the key source of antibiotics and management of antibiotic pollution, as well as help for the management of antibiotics in Fenhe and Shanxi Province.