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In the late stage of underground brine mining in salt lakes, the method of injecting fresh water is often used to extract the salt from the brine storage medium. This method of freshwater displacement breaks the original water–rock equilibrium and changes the evolution process of the original underground brine. To explore the mechanism of salt release in saline water-bearing media under conditions of relatively fresh lake water dissolution, this paper analyzes the changes in the chemical parameters of brine from 168 sampling points in the Mahai salt lake in the Qaidam Basin at three stages (before exploitation, during exploitation, and late exploitation) by correlation analysis, ion ratio analysis, and other methods and investigate the variations in porosity and the evolution laws of brine. The results show that the changes in the main ion content and brine mineralization during the exploitation process are small. The changes in Ca2+ content are significant due to the low solubility of calcium minerals, the precipitation of gypsum during the mixing process, and the adsorption of cations by alternating with Ca2+. Primary intergranular pore skeletons are easily corroded to form secondary pores, which increase the geological porosity. Na+ and Cl- are the dominant ions in the brine in the study area, but the concentration of Ca2 + decreased significantly under the influence of mining, by 41.7% in the middle period and 24.5% in the late period. The correlation between Ca2+ and salinity changes significantly in different mining stages, and the reason for the decrease of Ca2+ may be due to the influence of mineral dissolution, mixing, and anion-cation exchange. The porosity of the layer in the study area showed the opposite trend of Ca2+, and the porosity increased first and then decreased. The innovation of this paper lies in analyzing the reasons and mechanisms of the disturbance of artificial dissolution mining on stratum structure by comparing the hydrochemical characteristics and porosity of underground brine storage media in three different mining stages. The research in this paper provides a theoretical basis for the calculation of brine resource reserves and the sustainable development of underground brine in salt lake areas. [ABSTRACT FROM AUTHOR]

Over the past twenty years, government advisory bodies have placed increasing emphasis on the need for adaptive measures in response to the effects of human-induced climate change. Integrated Assessment Models (IAMs), which incorporate macroeconomic and climate variables, feature prominently in advisory content, though they rarely draw on data from outside strictly constrained hypothetical systems. This has led to assertions that they are not well-suited to approximate complex systemic human-environment processes. Modular, interdisciplinary approaches have offered a way to address this shortcoming; however, beyond climate records, prehistoric data continue to be under-utilised in developing such models. In this paper we highlight the contribution that archaeology and palaeoecology can make to the development of the next generation IAMs that are expected to enhance provision for more local and pro-active adaptations to future climate change. We present data from one of Southeast Asia's most heavily developed river deltas: the Red River (Song Hong) Delta, in Vietnam and localised analysis from the Tràng An Landscape Complex World Heritage Site, on the delta's southern margin. Comparison is made between Shared Socio-economic Pathways (SSP) 5–8.5 and SSP2–4.5 emission projection models and the Mid-Holocene inundation of the Red River Basin. We highlight the value to taking a scientific long view of coastal evolution through an illustrative set of eight research foci where palaeo-data can bring new and localised empirical data to bear on future risk management planning. We proceed to demonstrate the applicability of palaeoenvironmental, zooarchaeological and historical evidence to management and the development of sustainable conservation strategies using Tràng An as a case study. In so doing, we further highlight the importance of knowledge exchange between scientific, corporate, non-governmental, local, and state stakeholders to achieve tangible results on the ground. [ABSTRACT FROM AUTHOR]

Estuarine crocodile, Crocodylus porosus is the most common crocodile found in Sarawak, Malaysia. Despite its importance in ecological services, socio-economy and cultural belief, crocodiles are still considered pests due to frequent human crocodile conflicts (HCC) resulting in either injuries or death. This study determined the density of crocodiles in three selected rivers within Samarahan River Basin (SRB) of Sarawak, using a standard night spotting technique over a three-year period (2019-2021). The average density of crocodiles in SRB is showing an increasing trend, although there is active removal of the animals from the rivers either by commercial hunting or by relocation of certain individuals as immediate response to HCC. This paper also describes conservation initiatives carried out in SRB aiming to use crocodile as a resource in bioeconomy, which supports the United Nations Sustainable Development Goals. [ABSTRACT FROM AUTHOR]

The Yellow River Basin (YRB) is an important ecological defense and economic zone in China and occupies a very important position in the economy and society of China. Premise condition of ecological protection and development of high quality in YRB is the greening of the industry. Based on the data of 35 cities in YRB in 2012, 2015, and 2018, this paper constructs an evaluation index system for the industrial green development (IGD) and explores spatial differentiation characteristics of the IGD by the exploratory spatial data analysis (ESDA) method. On this basis, this paper uses the geographical weighted regression (GWR) model to analyze the influencing factors. The results indicate the following: (1) in general, IGD in YRB shows an upward trend. (2) The Global Moran's I index of IGD shows a small increase; the distribution of local spatial correlation is basically unchanged. (3) There are obvious regional differences in the influencing factors of IGD. The degree of influence of each factor on IGD is openness > industrial upgrading index > urbanization rate > science and technology expenditures > reduction rate of energy consumption. [ABSTRACT FROM AUTHOR]

Achieving the objectives of sustainable development in water and agri-food systems requires the utilisation of decision-support tools in stakeholder-driven processes to construct and simulate various scenarios and evaluate the outcomes of associated policy interventions. While it is common practice to involve stakeholders in participatory modelling processes, their comprehensive documentation and the lessons learned remain scarce. In this paper, we share our experience of engaging stakeholders throughout the entire system dynamics modelling process. We draw on two projects implemented in the Volta River Basin, West Africa, to understand the dynamics of water and agri-food systems under changing environmental and socioeconomic conditions. We outline eight key insights and lessons as practical guides derived from each stage of the participatory modelling process, including the pre-workshop stage, problem definition, model conceptualization, simulation model formulation, model testing and verification, and policy design and evaluation. Our findings demonstrate that stakeholders can actively contribute to all phases of the system dynamics modelling process, including parameter estimation, sensitivity analysis, and numerical simulation experiments. However, we encountered notable challenges, including the time-intensive nature of the process, the struggle to reach a consensus on the modelled problem, and the difficulty of translating the conceptual model into a simulation model using stock and flow diagrams – all of which were addressed through a structured facilitation process. While the projects were anchored in the specific context of West Africa, the key lessons and insights highlighted have broader significance, particularly for researchers employing PSDM in regions characterised by multifaceted human-environmental systems and where stakeholder involvement is crucial for holistic understanding and effective policy interventions. This paper contributes practical guidance for future efforts with participatory modelling, particularly in regions worldwide grappling with sustainable development challenges in water and agri-food systems, and where stakeholder involvement is crucial for holistic understanding of the multiple challenges and for designing effective policy interventions. [Display omitted] [ABSTRACT FROM AUTHOR]

Drought is a major factor affecting the sustainable development of society and the economy. Research on drought assessment is of great significance for formulating drought emergency policies and drought risk early warning and enhancing the ability to withstand drought risks. Taking the Yellow River Basin as the object, this paper utilizes data fusion, copula function, entropy theory, and deep learning, fuses the features of meteorological drought and hydrological drought into a drought assessment index, and establishes a long short-term memory (LSTM) network for drought assessment, based on deep learning theory. The results show that (1) after extracting the features of meteorological drought and hydrological drought, the drought convergence index (DCI) built on the fused features by copula function can accurately reflect the start and duration of the drought; (2) the drought assessment indices were effectively screened by judging the causality of the drought system, using the transfer entropy; (3) drawing on the idea of deep learning, LSTM for drought assessment, which was established on DCI and the drought assessment factors, can accurately assess the drought risks of the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Sanjiangyuan region is located in the hinterland of Qinghai-Tibet plateau, covering an area of 30.25 square kilometers, with the total population of 556000 people, including Tibetans, constituting more than 90%. Since it is the source of the Yangtze River, Yellow River, Lancang River catchment area, biodiversity concentration, and a beautiful environment, known as the "Chinese water tower," occupy an irreplaceable strategic position in national development. Although Sanjiangyuan region is blessed with unique natural landscape and rich tourism resources, its ecological environment has been seriously deteriorated due to long-term man-made destruction, backward economic development, and increasing poverty, which have seriously affected and restricted the survival and development of local ethnic groups. Since the 18th National Congress of the Communist Party of China, General Secretary Xi Jinping has repeatedly emphasized that "Lucid waters and lush mountains are invaluable assets." China advocates harmonious coexistence between humans and nature and sticks to the path of green and sustainable development. At the 19th National Congress of the Communist Party of China, the rural revitalization strategy was clearly proposed, which includes not only industrial revitalization but also ecological revitalization. In this paper, the area belonging to Sanjiangyuan National Park is taken as the main research object. By constructing economic, tourism, and ecological environment (TEE) evaluation indexes, the coupling degree and coupling coordination degree models are established, and the data from 2000 to 2019 are measured. The relationship of the three indicators is analyzed, and corresponding proposals for its development are put forward, such as implementing ecological compensation mechanism to improve the level of ecosystem management; blending into ethnic cultural elements to create a unique tourist resort; paying attention to economic development quality, building energy conservation and emissions reduction green engine; Doing a good job in the top-level design of ecological economy, and promoting the coordinated development of various indicators, etc. We will focus on quality control of economic development and build green engines for energy conservation and emission reduction. We will do a good job in top-level ecological and economic design and promote coordinated development of various indicators. [ABSTRACT FROM AUTHOR]

The Yellow River Basin (YRB) is China's substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 ("30.60") double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and spatial evolution characteristics of YRB's carbon emission efficiency from static and dynamic perspectives. Thirdly, the dynamic evolution characteristics of carbon emission efficiency are analyzed with the help of the Kernel density function. Finally, the Tobit model analyzes the influencing factors of YRB's and China's carbon emission efficiency. The results show that: (1) Among the nine provinces of YRB, the decoupling state between carbon emissions and economic growth in most provinces changes from weak decoupling to strong decoupling, and the decoupling elasticity index shows a fluctuating downward trend. (2) There are significant differences in carbon emission efficiency among provinces, but on the whole, it shows a stable growth trend. The high-value area of carbon emission efficiency is increasing, and the phenomenon of two-level differentiation is improving. The decline of the technological progress index causes the Malmquist index in Qinghai and Ningxia. On the contrary, the rise of the Malmquist index in the other seven provinces is caused by improving the technical efficiency index. (3) Industrial structure, economic development, and industrialization are the main positive factors affecting YRB's carbon emission efficiency. Urbanization level, green development level, and energy consumption level are the leading negative indicators hindering YRB's improvement of carbon emission efficiency. Therefore, targeted emission reduction suggestions should be formulated according to YRB's resource endowment and development stage characteristics. [ABSTRACT FROM AUTHOR]

The traditional development model of high consumption and low efficiency approaches the threshold of resource and environmental carrying capacity, bringing a series of severe social and ecological environmental problems, and it is urgent to realize green development transformation. Based on a multidimensional perspective, this paper constructed a comprehensive evaluation system for urban green development along the Yellow River Basin (YRB). Entropy method, exploratory spatial data analysis (ESDA) model, and trend analysis were used to measure and characterize the spatiotemporal evolution of urban green development index (UGDI) along the YRB in 2008, 2013, and 2018, and geographically weighted regression (GWR) model was used to explore the influencing factors of urban green development. The results are as follows: (1) the UGDI along the YRB showed a slow upward trend, but the absolute value was relatively low, mainly concentrated in 0.2699–0.3799. (2) The UGDI had obvious regional differences, and cities such as Baotou and Zibo showed a "high-high" agglomeration, while most cities in the midstream showed a "low-low" agglomeration, and in terms of space, they were "high in the east and west, low in the middle" and "high in the north and low in the south." (3) Influencing factors had different degrees of impact on the UGDI. Economic, industrial, urbanization, and green infrastructure factors played a positive role in promoting the urban green development, while the relationship between governance, technological factors, and green development varies from city to city. [ABSTRACT FROM AUTHOR]

Transboundary river basins are responsible for over half of the global river discharges and accommodate 40% of the global population. Ukraine is part of the four large transboundary rivers that flow through more than ten European countries and experience pollution problems because of human activities in up-and downstream areas. The Ukrainian government calls for actions to achieve Sustainable Development Goal 6 (SDG6) and integrate the European Union water legislation. This paper discusses five sustainable development perspectives for Ukraine to reduce pollution in transboundary rivers. These perspectives relate to (1) transitions from administrative river management (before 2017) to river basin management (after 2017) to enhance cooperation between countries, (2) interdisciplinary and (3) transdisciplinary research to better understand the causes and effects of river pollution and explore solutions, (4) innovation and modernization of water-related infrastructures and (5) the societal awareness. Future research could focus on the example of Ukraine and the adoption of these five perspectives to support the formulation of solutions to achieve SDG6 and support the sustainable basin management of transboundary rivers and the integration of European Union water legislation. [ABSTRACT FROM AUTHOR]

Developing an efficient strategy for managing nutrients in less-developed lake watersheds that can balance the need for socioeconomic progress with the protection of aquatic ecosystems has become an urgent research subject for achieving sustainable development. This paper improves the optimization method for environmental and economic management of lake watersheds proposed in our previous research. A spatiotemporal optimization method based on a coupling model consisting of the Soil and Water Assessment Tool, system dynamics model, and objective programming model was applied to an agricultural non-point source (ANPS) pollution control program and a rural sewage treatment program at the Yilong Lake watershed as a case study. A simulation evaluation showed that the efficiency of the previous scheme was significantly improved after conducting spatiotemporal optimization. This scheme was dynamic and distributed, demonstrating an annual and high-resolution control program that can provide a basis for the precise management of ANPS. Although it still requires improvement, a framework for coupling simulation and two-step optimization was achieved in this study. • A framework for coupling simulation and two-step optimization is completed. • Spatiotemporal optimization could significantly improve the scheme, which is output by an objective programming model. • A dynamic and high-resolution NPS control program for paddy fields is obtained. [ABSTRACT FROM AUTHOR]

The environmental effects of the urban agglomeration planning policy (UAPP) are an exploration by rapidly developing China and a concern for countries seeking development and urban reform around the world. This paper takes the three regional urban agglomerations in the Yellow River Basin (YRB) as the research object and collects the panel data of 106 prefecture-level cities from 2006 to 2019 to study the reduction effects of UAPP on the industrial wastewater discharge (IWD). The empirical results from Difference-in-Differences models indicate that UAPP can significantly inhibit IWD. UAPP reduces IWD by promoting green innovation, and the development of service industries can strengthen this effect. UAPP shows a stronger IWD reduction effect in the northeast YRB than that in the southwest region. Compared to urban agglomerations with a single provincial jurisdiction, UAPP exerts stronger IWD reduction effects on urban agglomerations with multiple jurisdictions. Moreover, there exist spatial spillover effects of UAPP on IWD. These findings provide support and references for urban reform and the development of green cities in countries around the world, especially in developing countries. • Urban agglomeration planning policies can reduce industrial wastewater discharge. • Green innovation is the main intermediary factor. • Service industry development strengthens the discharge reduction effects. • The discharge reduction effects are stronger with multiple jurisdictions. • There exist spatial spillover effects of the discharge reduction effects. [ABSTRACT FROM AUTHOR]

• Chinese soil loss equation model was used to estimate long-term soil erosion. • Soil erosion rates increased in the basin from 2010 to 2017. • Interactions between main driving factors analyzed using boosted regression trees. • The B factor was the primary driver of soil erosion. Soil erosion reduces soil fertility and land productivity while enhancing desertification, which seriously threatens ecological security, carbon sequestration, and sustainable economic and social development. Therefore, it is fundamental to precisely assess the long-term dynamics of soil erosion and explore its drivers to control the risk of soil erosion. Currently, machine learning-based analyses of the factors driving soil erosion are lacking in the Beiluo River Basin (BRB), China. This paper aimed to investigate the spatiotemporal dynamics of soil erosion by the Chinese soil loss equation coupled with the gully erosion factor, and then reveal its driving factors using the Boosting Regression Tree method (BRT) and estimate the influence of drivers' interactions on soil erosion in the BRB between 1990 and 2017. The findings demonstrated that the expanded Chinese soil loss equation accurately explained the variations in soil erosion in the BRB. The range of average soil erosion rates was 2,852.83–800.35 t km−2 a−1. Steep gully farmland, particularly areas with relatively rough terrain, was more vulnerable to intense erosion. Soil erosion rates for different geomorphologies decreased as follows: hilly–gully areas > gully–plateau areas > alluvial river plains > Rocky Mountains. The major drivers affecting the soil erosion rate were the biomass control factor (B) and slope, followed by slope length (L) and slope steepness (S). B–soil erodibility (1990), B–LS (2000), LS–rainfall erosivity (2010), and slope–rainfall erosivity (2017) interactions had the greatest influence on soil erosion, with interaction intensities of 32.3%, 17.75%, 46.05%, and 35.69%, respectively. The average soil erosion rates according to land classification types decreased as follows: farmland > grassland > forest. The results indicate that water and soil conservation in the study area benefited greatly from implementation of the Grain for Green Program, with forests reducing erosion more effectively than grassland. [ABSTRACT FROM AUTHOR]

In the New Zealand landscape, the mahika kai sites (resource gathering areas) are marked through place names, which act as central reference points (whai take) for a wider ecosystem catchment area and indicate changes over time. The traditional ecological knowledge, awakened through place names, informs and influences the way Māori realise cultural, social, environmental, and economic aspirations and practices (past and present). This paper will draw from a research project in Te Wai Pounamu (South Island), New Zealand that utilises traditional ecological knowledge (TEK) surrounding the place name, Matainaka, which indicate places where Kāi Tahu (South Island Māori tribal group) gathered whitebait (īnaka, Galaxias maculatus): an important fresh water species. A major focus of the research project is the knowledge around socio-cultural tipping points that will impact directly on the future cultural, social and economic sustainability within a specific catchment location, the Waikōuaiti River. The river has spawning and fishing sites for the īnaka mahika kai and comes under the mana whenua (recognised traditional authority) of the Māori tribal group, Kāti Huirapa Rūnaka ki Puketeraki. Traditional ecological knowledge kōrero (speech) explains the importance of Matainaka and its contribution to the surrounding catchment area, and - in contemporary times - works alongside that of scientific knowledge. The project merged TEK and science to find ways to improve future planning and adaptation for habitat restoration and modification, and to lessen impacts on īnaka spawning sites from the expected impacts of climate change. [ABSTRACT FROM AUTHOR]

• The high-quality development index is introduced into STIRPAT model. • The average yield of ecological footprint is updated. • High-quality development can effectively reduce the increase of ecological footprint. • The improvement of population quality helps ease pressure on the environment. • Lower energy consumption intensity helps improve ecological quality. It is urgent to coordinate the development of economy and environment under the "dual carbon" goal. As China's new development stage and mode, high-quality development takes into account both the speed and quality of economic, providing the possibility of achieving a "win-win" situation for the economy and the environment. In order to test the practical impact of high-quality development on ecological, based on the STIRPAT model, this paper introduces high-quality development index instead of per capita GDP, so as to measure the current economic situation in China, and explore the relationship between high-quality development and ecological footprint, and demonstrates the feasibility from theory and practice. At the same time, it pays attention to the complex effects of population and technology on environmental quality. The results show that the contradiction between economy and ecology still exists in China. The ecological footprint index of 30 provinces in the past 21 years has increased as a whole, and the fworst ecological footprint has concentrated in the Yellow River basin. But since 2012, the growth of the footprint has slowed. The slow down time and low value region of ecological footprint were observed, and it was found that they overlapped with the proposed time and the high value area of high-quality development. The level of high-quality development in China has also continued to rise, with regional differences but gradually narrowing. Among them, green development and shared development contribute more to the improvement of high-quality development level. Compared with the traditional economic development mode, high-quality development can reduce the increase of ecological footprint, and the longer the time, the smaller the increase, more conducive to long-term sustainable development. In addition, population and technology factors are also profoundly affecting China's ecological pattern. The increase in population size and population density, as well as the increase in the proportion of coal-based energy consumption structure, will lead to increased environmental pressure. The improvement of population quality and the reduction of energy consumption intensity will help alleviate ecological pressure. The research is helpful to provide policy guidance and path combination reference for China's sustainable development, and also provide new ideas for the global coordination of the relationship between economy and environment. [ABSTRACT FROM AUTHOR]

The energy-water-land nexus represents a critical leverage future policies must draw upon to reduce trade-offs between sustainable development objectives. Yet, existing long-term planning tools do not provide the scope or level of integration across the nexus to unravel important development constraints. Moreover, existing tools and data are not always made openly available or are implemented across disparate modeling platforms that can be difficult to link directly with modern scientific computing tools and databases. In this paper, we present the Nexus Solutions Tool (NEST): a new open modeling platform that integrates multi-scale energy-water-land resource optimization with distributed hydrological modeling. The new approach provides insights into the vulnerability of water, energy and land resources to future socioeconomic and climatic change and how multi-sectoral policies, technological solutions and investments can improve the resilience and sustainability of transformation pathways while avoiding counterproductive interactions among sectors. NEST can be applied at different spatial and temporal resolutions, and is designed specifically to tap into the growing body of open access geospatial data available through national inventories and the earth system modeling community. A case study analysis of the Indus River Basin in South Asia demonstrates the capability of the model to capture important interlinkages across system transformation pathways towards the United Nations' Sustainable Development Goals, including the intersections between local and regional transboundary policies and incremental investment costs from rapidly increasing regional consumption projected over the coming decades. [ABSTRACT FROM AUTHOR]

[Display omitted] • Trying to break out of the stereotypical thinking of inherent study areas. • Use of a three-stage DEA model to make efficiency results more scientific. • Multidimensional identification of differences between strategic areas. • Valuable regionally targeted policy recommendations are made. The Yangtze River Economic Belt and the Yellow River Basin are important economic regions and ecological barriers in China. Promoting the development of the Yangtze River Economic Belt and promoting ecological protection and high-quality development in the Yellow River Basin are major regional strategies implemented by the Chinese government, and the green growth of the two regions is important for the high-quality sustainable development of the whole China. To investigate the regional differences in green growth efficiency of the same type of geographical units, this paper measures the green growth efficiency and decomposition indicators of the Yangtze River Economic Belt and the Yellow River Basin from 2010 to 2020 using a three-stage DEA model and the Malmquist index method and establishes a panel Tobit model to identify the influencing factors of green growth efficiency. The results show that: ①After using the three-stage DEA model to remove the influence of external environment and stochastic factors, the mean values of green growth efficiency of Yangtze River Economic Zone and Yellow River Basin from 2010 to 2020 are 0.996 and 1.089, respectively. The change of green growth efficiency of Yangtze River Economic Zone is slightly higher than that of Yellow River Basin. ②The Malmquist indexes of the Yangtze River Economic Belt and the Yellow River Basin have generally increased, with the Technological Progress Index, which characterizes technological innovation, being the main endogenous driver of green growth efficiency in the Yellow River Basin, while the technical efficiency index, which characterizes factor mix and management level, is more significant in the Yangtze River Economic Belt. ③The Tobit model regression results show that the factors influencing green growth efficiency are also different in the two regions. Among them, the urbanization rate has a significantly positive effect on the two regions, while the effects of environmental regulation and research intensity are not significant. External openness has a suppressive effect on green growth efficiency in the Yangtze River Economic Belt, while the level of financial development and human capital negatively affect green growth efficiency in the Yellow River Basin. Therefore, green development in the new era should pay attention to the differences between different regions, and make appropriate development policies according to the local conditions of the development status of different regions. [ABSTRACT FROM AUTHOR]

Based on sustainable development theory and the method of system dynamics and multi-agent simulation, the environment-economy-society relationship model of Liaohe River Basin is constructed by coupling the system dynamics model with the multi-agent model in the software-NetLogo. This paper selects the Qinghe, Fanhe and Puhe River of Liaohe River Basin which are located in Shenyang and Tieling City as the study boundary, then the overall situation of environment, economy and society development is analyzed. At the same time, in order to simulate and predict the overall operation of the model under different policies, three kinds of development scenarios are established by changing some key variables including pollution abatement investment, fixed assets investment and industrial waste water production of ten thousand yuan industrial output value. The results show that the development under different policies can be simulated and predicted by this model, which will provide support for macroeconomic regulation and control the sustainable development strategy of Liaohe River Basin. [ABSTRACT FROM AUTHOR]

Floods, as a more and more present problem in Europe and in Serbia, require special treatment in spatial planning and regulation of river basins. Aimed at spatial improvement of the area and through the analysis of contemporary condition, this paper tends to emphasise a recognisable model for soothing a devastating influence of floods both in the settlement of Jaša Tomić (north-eastern Serbia, Vojvodina) and in the areas that are facing similar natural problems. Furthermore, the paper is aimed at improving the area on the composition level as well for the purposes of making it more attractive and recognisable on the tourist market. Methodology is based on the characterisation of the area (landscape reading, elaboration of check lists) and identification of alternative scenarios. The most acceptable scenario for the researched area was chosen among the four possible ones using the AHP analysis. The scenario was further developed in the phase of idea development. Based on the above mentioned, it can be concluded that the problem should have a multidisciplinary approach and that it should be observed from sociological, geographical, organisational as well as landscape architectural aspect so that the most acceptable solution to this problem and the environment could be found both for the local population and for other users of the area. The aim was to create the area of sustainable character whose principle of "Fight against Floods" will be replaced with the concept "Living with Floods". The above mentioned was achieved with the suggested scenario. [ABSTRACT FROM AUTHOR]

The health dimension of sustainable development and its limits in optimizing health protection has led to a rethinking of the management of shared water resources in international environmental law. This paper discusses human health in the sustainable development of shared waters and its limits using a case study of the sustainable management of the Lake Victoria Basin. It links the public health challenges to the strengths and limitations of the global, East African, and domestic legal regimes for sustainability and environmental governance. The quest to integrate health concerns in the sustainable management of Lake Victoria faces challenges. The substantive legal regimes for tackling health issues and governance mechanisms are weak, fragmented, and ineffective in a framework of adaptive governance. This paper calls for enhanced collaboration among the actors and the reinvigoration of regional and domestic governance mechanisms to promote human health and the environment in the basin. [ABSTRACT FROM AUTHOR]

Basin water ecological compensation is an effective means of coordinating environmental protection and economic development and promoting sustainable development. A reasonable compensation interval (the value range of the compensation standard) is the basis for final pricing. At present, the calculation method of the compensation interval has not been unified in the current research, and it is rarely considered comprehensively from the perspective of both parties of compensation. Based on the perspectives of upstream water resources suppliers and downstream water resources consumers, this paper proposes a water ecological compensation interval accounting method based on emergy analysis theory and water ecological footprint method. From the perspective of the supply side, the remaining ecological economic system services value supplied by the upstream area is taken as the lower limit; from the perspective of the consumer side, the value of ecological economic system services actually occupied by downstream areas is taken as the upper limit. Taking the Qingyi River Basin as an example, the results show that there is a serious ecological deficit in the lower reaches of the Qingyi River Basin, and reasonable compensation needs to be given to the supplier Xinzheng City; the accounting method based on dual perspectives is better than traditional. The method is more precise and greatly shortens the value range of the compensation standard. This study provides a novel and complete ecological compensation interval accounting method, which provides a more accurate and reasonable reference for the determination of ecological compensation standards in the basin, and helps the government to improve and implement the ecological compensation mechanism. • The study proposes a new quantification method of watershed compensation interval. • Different amounts of spillover value from different perspectives. • Lower Qingyi River has a high ecological deficit. • Compensation interval based on dual perspective is more accurate. • Compensation interval difference is mainly affected by downstream. [ABSTRACT FROM AUTHOR]

Optimization of the industry structure is important for the sustainable development for developing countries, e.g. China. The inexact stochastic multiple objective programming (ISMOP) which integrates stochastic programming, interval linear programming, and multiple objective programming was applied to analyze the optimization of industrial structure based on water environmental carrying capacity in Huai River Basin within Shandong Province (HRBSP). ISMOP can effectively solve the uncertainty existing in the multiple-objective optimization model and provide the information of development patterns of different industrial sectors. Results showed that the growth rates of output values from secondary industries under different q i values in the planning stage (2010–2020) will be almost 8%, and the total amounts of COD and NH 3 –N discharge will reduce by at least 65% from 2010 to 2020 in HRBSP. In term of the secondary industrial structure, the coal, paper-making and food processing industries, as the traditional backbone industries but with high risk of water pollution, should be reduced gradually; the beverage and textile industries should be strictly limited; and conversely, the new industries, such as metallurgy and construction material industries, should be allowed to maintain the rapid development. In the context of the aquatic environment protection in the basin level, the results based on ISMOP are useful for making policies to balance the economic development and water pollutant prevention within the Huai River Basin and other river basins. [ABSTRACT FROM AUTHOR]

Objectives: To assess existing evidence and identify gaps in the integrative framework of the Sustainable Development Goals (SDGs) for their potential to advance cross-sectoral perspectives and actions that connect health equity with the land-water-energy nexus in a watershed context. Methods: Five bibliographic databases were searched from 2016 to 2021. This yielded an initial 226 publications, which were screened for titles, abstracts, and full texts on DistillerSR; resulting in a final 30 publications that were studied. These keywords defined the search terms: "health equity," "SDGs," "watershed," "resource nexus," and "cross-sectoral." Results: Thematic syntheses of debates and gaps point to the relevance of the SDGs as a cross-sectoral, integrative platform for place-based programming of the land-water-energy nexus, and to account for negative externalities and cascaded impacts on human and environmental health. Conclusion: For the purpose of monitoring health equity in the contexts of interactions of land, water, and energy in rural, remote, and Indigenous contexts, and on the basis of the SDGs, this paper generates evidence to inform health equity-oriented policies, programs and practices, and to enhance health for equity-seeking populations. [ABSTRACT FROM AUTHOR]

Topography–climate–vegetation–runoff relationships are important issues in hydrological studies. In this paper, based on analyzing water isotope characteristics of river water, the influence of these variables on the relative contribution of rain to river water was investigated during one rain event in the Heishui Valley of the upper Yangtze River in China. During one rain event on August 19, 2005, a total number of 182 river water samples were collected at 13 sampling sites located along the principal river course and its tributaries. The analysis of water isotopes in the principal river course and its tributaries showed that new rain water and secondary evaporation precipitation caused great variation in values of δD and high d-excess increased with altitude. Based on calculations of two-component hydrograph separation using δ 18 O, the results showed that the biggest relative contribution of new rain to river water (43%) was found in tributary B, while the smallest contribution (less than 5%) was found in tributary I. According to stepwise linear regression analysis, topography (elevation and slope) was the most important factor affecting the contributions of new rain to river water. When only vegetation variables were considered in the regression model, alpine shrub coverage proved to be negatively correlated with the contributions of new rain to river water, while alpine meadow coverage was positively correlated with the contributions of new rain. This would imply that increasing the relative coverage of alpine shrubs in this mountainous region of China may decrease the risk of flooding. [ABSTRACT FROM AUTHOR]

Long-term agricultural development has an influence on the regional landscape patterns and non-point source (NPS) pollution. The implementation of sustainable landscapes management is a key component in agricultural development together with the reduction of agricultural NPS pollution. In this paper, the interactions of land cover, landscape pattern and NPS pollution were analyzed synchronously. The land cover variation of the agricultural watershed from 1976 to 2006 in Northeast China was analyzed from the Landsat series images, and the landscape pattern was also analyzed with FRAGSTATS. The Soil and Water Assessment Tool (SWAT) was used to identify the NPS pollution response to long-term land cover dynamics. The temporal variation trends of the landscape fragmentation, shape and diversity index demonstrated the response of natural land covers to agricultural development. The six landscape metrics at landscape and watershed scale indicated that the impact of agricultural expansion on regional natural system become slightly in the recent time period. By applying redundancy analyses (RDA), the interactions of the land cover and landscape pattern dynamics with the pollution loading of NPS nutrients at four temporal scales were analyzed. The RDA results also demonstrated the close interactions among them and the proper landscape pattern design can facilitate the prevention of NPS pollution. The responses of seven NPS nutrient indices to the temporal variation of the landscape pattern were also identified, and the influence of agricultural land expansion on NPS nutrient loading was described. The applied method can analyze the interactions of three aspects simultaneously and provide potential solution to agricultural NPS pollution reduction. These results confirm the important role of sustainable landscape management and spatial arrangement during agricultural development and conservation planning. [ABSTRACT FROM AUTHOR]

The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a "quantity-efficiency-structure" evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the "quantity-efficiency-structure" evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. [Display omitted] [ABSTRACT FROM AUTHOR]

Due to insufficient understanding of human-water interaction, many water-related problems arise in watersheds, posing severe threats to the sustainability of watershed development. Although water environmental carrying capacity (WECC) is a powerful tool to support sustainable development of watersheds, few studies considered aquatic ecological factors and uncertainty in indicator values, leading to losses of sample information in the evaluation of WECC. This paper developed a systematic framework for comprehensive WECC assessment that included the indicator system and a novel variable fuzzy pattern recognition (VFPR) approach. The WECC index system incorporated aquatic ecological factors, and addressed uncertainties associated with the indicator values. The proposed VFPR-based assessment model could realize successive evaluation to retain more original information of the sample and distinguish similar result values by treating the sample as having a continuous degree of membership instead of the traditional point form. In addition, it could be more adaptable to various circumstances including extreme cases, and closely reflect the impacts of indicator changes on the results. The established evaluation framework has been applied to Dongjiang River Basin in Guangdong Province. The spatial differences and main influencing factors of WECC in the study area were analyzed. Results show that 50% and 16.7% of the sub-regions in the study area would be subject to a poor level of WECC under pessimistic and optimistic circumstances, respectively. WECCs in the upper and lower reaches are the best and worst, respectively, which is in line with the levels of economic development in the Dongjiang River Basin. The proposed method can also be applicable to many other problems involving numerous indicators. • Traditional VFPR model was improved from both model structure and model parameters. • A systematic framework was proposed for continuous and comprehensive evaluation of WECC. • Water ecology and the uncertainty in indicator values were considered in the index system. [ABSTRACT FROM AUTHOR]

Abstract: Freshwater is the essential resource element to support and ensure human life and regional sustainable development. On the basis of the concept of ecosystem service footprint proposed by Burkhard, in this paper, we introduce a new methodological approach that addresses the sustainability and capability of regional freshwater provision and consumption, which we have coined freshwater ecosystem service footprint model (FESF model). The FESF model enhances the accuracy of water provision and consumption calculations and reveals a spatial-pattern of freshwater ecosystem service footprint at the watershed scale, overcoming the shortcomings of the traditional water footprint model, which was first introduced by Rees and Wackernagel in 1992. The proposed model is tested in the Beijing–Tianjin–Hebei (BTH) freshwater supply area in China, where water use restrictions are regularly imposed on the population and economic activities. The results of the physical process and theoretical analysis reveal that FESF model is a reliable and helpful model for researchers to understand the regional freshwater situation. The average FESF is 0.94hectare per capita in BTH, with a maximum of 2.52hectare per capita and a minimum of 0.36hectare per capita. Approximately 16.8% of the considered region, primarily parts of the mid-northern region and the surrounding eastern and southern low-lying regions, is under high freshwater resource pressure. In conclusion, this model can be used by researchers and policymakers for promoting sustainable human–ecology interactions. [Copyright &y& Elsevier]

The River Torrens Catchment in Adelaide has suffered from poor water quality and flooding for decades. To address these challenges, a green infrastructure project, specifically a Linear Park, was created within the catchment. Although the project has functioned reasonably well since its implementation, its complex nature poses several management challenges. Despite the scale of this project, there is little scholarly literature available. Hence, to analyse these management challenges, this paper reviews the original project documentation, as well as regulations and policy documents together with findings from interviews with key project informants. The aim is to investigate the key drivers for implementation; the major stakeholders involved; and the challenges emerging from the multidimensional attributes of the project. The challenges relate to the inconsistent and informal management structure, the involvement of multiple stakeholders, and pressure from surrounding development. The challenges are further grouped under four main themes, including communication and collaboration, project design goals, institutional and political frameworks, and planning and development regulations. This paper argues that green governance is the key to the successful implementation and management of sustainable green infrastructure projects. The findings from this case study can inform policymakers, planners and researchers to propose appropriate scenarios to manage urban stormwater and to reclaim neglected waterways. • Linear parks have emerged as an increasingly valuable green space typology. • The morphology of a linear park can present complex issues relating to governance. • The River Torrens Linear Park exhibits such complexities. • Green governance is essential for sustainable development of linear parks. [ABSTRACT FROM AUTHOR]

Spatially explicit population data can play an important role in studies on environment and sustainability. Several gridded datasets on the present population exist, but global data on future populations are largely lacking. This paper presents a dataset covering three global population forecasts for the period 1990–2100 at 0.5-degrees resolution. The basis for these forecasts is the SRES scenarios developed for the IPCC climate-modeling framework. In addition, a gridded dataset of urban and rural populations for the period 1990–2050 is presented. To illustrate how the datasets can be used, future changes in population density and urbanization were analyzed for some of the world’s major river basins. This analysis shows that the population density in the Ganges basin, which is already very high, is likely to increase considerably. The highest future increase rates were found in some African and Middle-Eastern basins. The population dataset for 2015 was compared with one previously published gridded dataset. The comparison shows some differences in population density, mainly in small, highly urbanized coastal river basins, while for large basins, the two datasets agree fairly well. We hope that the datasets here presented will prove to be a useful resource also for other researchers of global environmental change and sustainable development. [ABSTRACT FROM AUTHOR]

The mining of oil sands in northern Alberta leaves behind large open pits, tailings, and overburden piles in which the surface and subsurface hydrology has been completely disrupted. Extensive reclamation work is required to reconstruct the entire landscape and reestablish the various elements of the hydrologic cycle. Syncrude Canada Ltd. has established a series of small instrumented watersheds in a reclaimed overburden pile at the Mildred Lake mine in northern Alberta, Canada, to test the sustainability of different reclamation strategies. The purpose of these field sites is to assess the performance of different reclamation strategies and track the evolution of the reclaimed landscape with time. The saline–sodic shale overburden has been covered with different (in type and depth) soil layers to provide sufficient moisture storage for vegetation while minimizing runoff and salt transport into the cover from the underlying overburden shale. In this paper, a system dynamics watershed model (SDWM) is developed to simulate one of the reconstructed watersheds and assess its ability to provide common watershed functions. The model is at an early stage, but preliminary results point to the potential of the system dynamics approach in simulating watersheds and testing different scenarios. The tested reclamation strategy seems to be satisfactory within a certain range of hydrologic conditions. Further validation of the SDWM is required, however, before relying on its results for decision support with regard to reclamation strategies. [ABSTRACT FROM AUTHOR]

This paper aims to present a new quantitative systematic approach to evaluate the effectiveness of utilizing and allocating resources based on the concept of "Work" in physics. This method is examined in the Urmia Lake Basin (ULB), shrinking of which has threatened the life of about five million inhabitants and ecosystem biodiversity. In the proposed approach, the role of three types of financial, human, and environmental resources in the development process is evaluated quantitatively, and they have been compared in two periods before and after the severe reduction of the lake water volume. Results show that although financial resources have increased by 1.9 times in the second period, the effectiveness of the development process has decreased. Therefore, the resources have not been utilized properly in a direction compatible with sustainable development strategies. Additionally, the improperly-spent financial resources on the development projects especially in the second period have had a more destructive role than the human and environmental resources in the ULB crisis. • A new quantitative approach is presented to assess the effectiveness of resource allocations. • The proposed approach is based on the concepts of force and work in physics. • Application of the approach is evaluated in Urmia Lake shrinking of which has threatened life of inhabitants. • Financial resources utilized in an unsustainable manner are the main reason for critical adverse conditions of the lake. [ABSTRACT FROM AUTHOR]

Many companies around the world need to assess water environmental risks in accordance with sustainable development goals (SDGs) set by the United Nations, environmental, social, and governance (ESG) investment, the Carbon Disclosure Project (CDP) water program, and also their corporate social responsibility (CSR) activities. Although companies have been requested to voluntarily evaluate their water risks and provide information thereon, the water quality risk in river basins is difficult to assess owing to insufficient monitoring information. This paper proposes the National Institute of Advanced Industrial Science and Technology - Standardized Hydrology-based AssessmeNt tool for chemical Exposure Load (AIST-SHANEL) model as a river water quality simulation model that can be employed for chemical risk assessment and evaluation of the effects of use of a company's consumer products on river basins. AIST-SHANEL is the only unsteady analysis model that estimates spatial and temporal chemical concentrations and assesses water quality within river basins by point/non-point emission of chemical substances. To evaluate the efficacy of AIST-SHANEL, a case study focused on the surfactant linear alkylbenzene sulfonate (LAS), found in the detergents of widely used health care products, was conducted. The water risk assessment was performed in three Japanese river basins with different watershed characteristics: Tama River in urban Tokyo with high sewerage penetration rate, Nikko River in urban Nagoya with a low sewerage penetration rate, and the nonurban None River with no sewerage. In Tama River, the LAS river water concentrations were found to be strongly influenced by seasonal variations as well as the flow rate associated with dilution and temperature-induced biodegradation. Their concentrations in Nikko River were strongly affected by flooding, indicating that the influence on their transport through the drainage channel was due more to low sewage levels than temperature-induced biodegradation. In None River, the LAS river water concentrations were only slightly affected by dilution. The river sediment concentrations of LAS in the three river basins showed mild seasonal variations. The 95th percentile of river water concentrations, predicted environmental concentration (PEC), at the most downstream and maximum concentration grids in the three river basins were 4.5 and 51.2 mg/m3 for Tama River, 30 and 58.6 mg/m3 for Nikko River, and 0.15 mg/m3 for None River. Neither of the PECs nor maximum values at these grids exceeded the predicted no-effect concentration (PNEC) of LAS (270 mg/m3), suggesting minimal ecological risk in these river basins over the year for all target river basins due to LAS. Furthermore, we analyzed a scenario in which LAS was substituted with the highly biodegradable alcohol ethoxylates (AE) for corporate self-management measures in Nikko River with only a few sewers, and therefore only a low risk. The AIST-SHANEL model has useful and widespread application with no need for monitoring by companies; as long as the relevant watershed characteristics can be obtained, water risk assessments of chemical substances can be performed for any river basin in the world. • A simulation model was developed for global water environmental risk assessment. • Spatio-temporal chemical concentrations were estimated by point/non-point emission. • The ranges of chemical concentrations were estimated for the studied river basins. • Estimated concentrations can be used to evaluate water risks without monitoring. • The proposed model can simulate river water quality in any basin around the world. [ABSTRACT FROM AUTHOR]