Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models

This paper describes the application of multi-layer perceptron (MLP), radial basis network and adaptive neuro-fuzzy inference system (ANFIS) models for computing dissolved oxygen (DO), biochemical oxygen demand (BOD) and chemical oxygen demand (COD) levels in the Karoon River (Iran). Nine input water quality variables including EC, PH, Ca, Mg, Na, Turbidity, PO₄, NO₃ and NO₂, which were measured in the river water, were employed for the models. The performance of these models was assessed by the coefficient of determination R ², root mean square error and mean absolute error. The results showed that the computed values of DO, BOD and COD using both the artificial neural network and ANFIS models were in close agreement with their respective measured values in the river water. MLP was also better than other models in predicting water quality variables. Finally, the sensitive analysis was done to determine the relative importance and contribution of the input variables. The results showed that the phosphate was the most effective parameters on DO, BOD and COD.     

天津市近海水质预测方法研究

针对中国近海水质污染呈现的年周期性和自相似性特点,通过对分形理论的研究,提出了一种新的完全基于环境监测数据的近海水质污染变化的分形预测方法。以天津市近岸海域为例,根据分形拼贴定理,由基于仿射变换的分形插值方法求取各历史时间阶段水质变化的迭代函数系,根据近海水质变化的年周期性,对上述求得的迭代函数系加权求和,得到预测年份水质变化的统计意义上的迭代函数系,建立分形预测模型,应用随机迭代算法求得预测年份水质变化曲线的吸引子,对近海水质进行预测,预测结果显示枯水期、丰水期、平水期的平均预测误差分别为29.6%、27.5%、16.1%,3个水期的平均预测误差为24.4%。应用表明,该方法预测精度较高、实用性强,能够为近海水环境管理提供决策支持。     

Stress strain curve generation from simple triaxial parameters

A simple hyperbolic function is often used to illustrate typical stress-strain behaviour of geomaterials during monotonic loading. This approach has the disadvantage that the failure condition is approached asymptotically, whereas in reality failure must occur at a finite value of strain. A modified hyperbolic function with one adjustable parameter is proposed in this paper. The function is shown to be capable of spanning all likely soil stress-strain data up to and including peak strength.     

Water quality index and fractal dimension analysis of water parameters

Statistical analysis of water quality parameters were analyzed at Harike Lake on the confluence of Beas and Sutlej rivers of Punjab (India). Mean, median, mode, standard deviation, kurtosis, skewness, coefficient of variation, regression lines, correlation coefficient, Hurst exponent, fractal dimension and predictability index were estimated for each water parameter. Monthly variation of water quality index using month-wise and parameter-wise value of quality rating and actual value present in water sample was calculated and compared with World Health Organization/Environmental Protection Agency standard value of these parameters. It was observed that Brownian time series behavior exists of potential of hydrogen with total dissolved solids, hardness, alkalinity, sulfate, chloride and conductance parameters; biochemical oxygen demand with total dissolved solids, hardness, alkalinity, sulfate, chloride, conductance and calcium parameters; dissolved oxygen with total dissolved solids, hardness, alkalinity, sulfate, chloride, conductance and calcium parameters; ferrous with total dissolved solids, hardness, alkalinity, sulfate, conductance and calcium parameters; chromium with total dissolved solids, hardness, alkalinity, sulfate, chloride, conductance and zinc parameters; zinc with total dissolved solids, hardness, sulfate, chloride, conductance and calcium parameters; fluoride with total dissolved solids, hardness, alkalinity, sulfate, chloride and conductance parameters; nitrate with total dissolved solids, sulfate and conductance parameters; nitrite with potential of hydrogen, total dissolved solids, hardness, alkalinity, sulfate, chloride, conductance and calcium parameters. Also, using water quality index, it was observed that water of the lake was severely contaminated and became unfit for drinking and industrial use.     

非保守示踪剂条件下的河流水质参数的确定

将描述示踪剂为非保守、瞬时投源条件下的一维河流水团示踪试验的解析表达式进行2次适当的变形,分别得到一个二元和一元线性方程。对二元线性方程应用相关系数极值法,可以推导出计算河流横断面平均流速的公式;利用直线图解法或一元线性回归法能够计算出一元线性方程中的2个常数值,据此可以计算河流的纵向离散系数D_L与示踪剂的一级反应速率常数k。与现有的数据分析方法相比较,该方法具有:(1)适用于示踪剂为非保守的情况;(2)利用一组野外试验数据可以同时计算河流离散系数D_L、河流横断面平均流速V与示踪剂的一级反应速率k常数3个参数值;(3)全部数据分析过程可以程序化,由计算机完成等特点。     

应用单纯形-模拟退火混合算法估计河流水质参数

将由单纯形法(SM)与模拟退火(SA)两种算法构成的混合算法(SMSA),应用于求解分析瞬时投放示踪剂情况下的一维河流水团示踪试验数据,估计河流水质参数的函数优化问题。分别就不同的降温指数、内循环次数与新状态产生函数中的扰动系数等算法控制参数对混合算法和改进模拟退火法的收敛速度的影响,进行了数值实验。结果表明,SMSA混合优化算法对于求解估计河流水质参数的函数优化问题是非常有效的。在实验条件下,与单一具有记忆功能的改进模拟退火法的水质参数计算结果相比较,SMSA混合算法具有:①混合算法的收敛速度明显优于改进模拟退火法;②降温指数和内循环次数对SMSA混合算法的收敛速度影响非常微弱;③新状态产生函数中的随机扰动幅度大小对算法收敛速度具有较为明显的影响等特点。     

Short-term variability of water quality parameters in two shallow estuaries of North Carolina

We quantified the effects of nutrient loading following precipitation events (≥ 1.25 cm) in 2 tidal creeks varying in size and anthropogenic input during the winter and summer seasons of 1996. Several water quality parameters were repeatedly measured in the water column every 3 h for several days after each event (4–5 per season). Total nitrogen (TN) and total phosphorus (TP) behaved nonconservatively with salinity and appeared as pulsed additions, occasionally doubling within 1 to 2 tidal cycles following significant rain events. Average values for TN, TP, and chlorophylla were 10–15 μM, <4 μM, and <7 μg l⁻¹, respectively for winter events and 30–35 μM, >4 μM, and ≥ 7 μg l⁻¹, respectively for summer events. However, response times were variable, depending on the magnitude and duration of the event as well as temperature. Chlorophylla biomass often increased after nutrient additions, especially in the summer when increased nutrient loading took place. Dissolved silica (DSi) behaved conservatively with salinity; low values were observed at high tide and vice versa. Average DSi ranges for winter and summer events were 5–45 μM and 10–85 μM, respectively. DSi range values increased proportionally with the amount of freshwater loaded into the system. Recovery times for salinity were usually greater than the recovery times for nutrients. Dissolved oxygen displayed a diel pattern, increasing after daytime productivity and decreasing during nighttime. In conclusion, each rainfall event was unique and responses were variable depending upon rainfall history, seasonality, and the duration and intensity of the rainfall event. Several other variables, such as water viscosity, percolation rates, and evapotranspiration rates which were not quantified in this study, could have also explained parameter responses.     

野外找点工作中GPS手持机坐标转换参数的一种简易设置方法

本研究首先对GPS手持机的坐标转换参数进行简单设置,在找到3到4个已知点的过程中,反复调整期其参数,使其不断逼近真实参数,在吉林省长岭县测区找点工作中发挥了一定的作用。     

Prediction of the quality of water in a proposed impoundment in Southwestern Wisconsin,USA

The probable quality of water in a large multipurpose impoundment under construction in the driftless area of southwestern Wisconsin was determined by using stream monitoring data, statistical information, and literature values for point and nonpoint nutrient loading. The impoundment drainage basin is largely rural, and much of the area slopes steeply. Point sources of N and P (sewage treatment plants and farmyards) are small relative to nonpoint sources (runoff from agriculture and forest lands). Stream flow and nutrient concentration are positively related. The major fraction of the nutrient input is from runoff from snowmelt and from early summer storms. The calculated annual loadings of total N and total P were compared to accepted static and dynamic models to predict the resultant water quality. These comparisons indicated that the impoundment would be heavily overloaded with P and so would be highly eutrophic. Owing to the nonpoint nature of the nutrient sources, they would be difficult and expensive to control. Partly as a result of this assessment, further funding for the impoundment was withdrawn.     

Assessing water quality using water quality index and multivariate analysis

Groundwater is increasingly gaining significance as the main solution to the water supply problems in Ghana, especially in the rural areas. This study was conducted to determine which factors play significant roles in the hydrochemistry of groundwater from the southern Voltaian formation. Conventional graphical and multivariate statistical methods were used. The study reveals three main factors controlling the hydrochemistry. Silicate mineral weathering and reverse cation exchange are the most important processes affecting the hydrochemistry of groundwater at this part of the formation. Interpolation maps created from factor scores suggest that these processes are the most pervasive, recording high scores almost everywhere in the study area. Carbonate mineral weathering is the second most important process in the hydrochemistry. This study finds that carbonate mineral weathering in the area is probably facilitated by carbonic acid rather than sulfuric acid. Chemicals from agricultural activities constitute the third most important process influencing groundwater quality in the area. Eighty samples were used to calculate water quality indices, WQI, which were in turn used to classify groundwater from the study area. Over 98% of the samples fall within the “Excellent” and “Good” categories, suggesting that groundwater from the southern Voltaian formation is generally acceptable for drinking purposes.     

Water quality parameters along rivers

Water samples have been collected from a part of Surma River along different points and analyzed for various water quality parameters during dry and monsoon periods. Effects of industrial wastes, municipal sewage, and agricultural runoff on river water quality have been investigated. The study was conducted within the Chattak to Sunamganj portion of Surma River, which is significant due to the presence of two major industries-a paper mill and a cement factory. The other significant feature is the conveyors that travel from India to Chattak. This study involves determination of physical, biological and chemical parameters of surface water at different points. The river was found to be highly turbid in the monsoon season. But BOD and fecal coliform concentration was found higher in the dry season. The water was found slightly acidic. The mean values of parameters were Conductivity 84–805μs; DO: dry- 5.52 mg/L, monsoon-5.72 mg/L; BOD: dry-1 mg/L, monsoon-0.878 mg/L; Total Solid: dry-149.4 mg/L, monsoon- 145.7 mg/L. A model study was also conducted and values of different model parameters were estimated.     

Sediment–water interaction, acidity and other water quality parameters in a subtropical setting, Pimpama River, southeast Queensland

 The geological setting and landuse activities of the Pimpama River catchment are typical for many drainage systems in southeast Queensland. The river originates in coastal ranges of Late Paleozoic age, crosses a floodplain developed during the Late Pleistocene-Holocene sea-level fluctuations and flows into the southern part of the Moreton Bay. The formation of sedimentary pyrite associated with the mid-Holocene transgression is an important feature of this coastal setting. The oxidation and hydrolysis of pyrite and the consequent production of sulfuric acid are controlled by the amount and seasonality of rainfall and influenced locally by landuse activities. The acid production and the leaching of dissolved metals from river alluvium and estuarine sediments impact substantially on land and aquatic habitats. The water quality of the Pimpama River and its tributaries reflects the lithology of the bedrock and can vary largely depending on season, tidal regimes, sediment lithology, local topography and agricultural activities. Monitoring of river water for several seasons revealed four types of events, each with a different response in terms of water quality: (a) occasional showers during the dry season cause low pH and high amounts of dissolved metals in the water, (b) the first heavy rain of the wet season can produce very toxic conditions (low pH and high concentrations of metals) that can result in a fish kill, (c) towards the end of the wet season, prolonged flushing of pyrite oxidation products leads to short-term recovery of the aquatic system (neutral pH and lower amounts of dissolved metals in the water) and (d) a flood event can produce low pH, salinity and high concentrations of metals, which can represent lethal conditions for aquatic life. Assessment of saturation indexes for representative weathering and oxidation products such as clays, goethite, gibbsite and jarosite shows that these mineral phases can precipitate only when the water reaches neutral pH. Received: 21 September 1998 · Accepted: 1 December 1998     

Influence of physicochemical parameters on surface water quality: a case study of the Brahmani River,India

This investigation is intended to evaluate the surface water quality of Brahmani River in order to determine its uses for different purposes. The water samples were collected from the strategic locations of the river from February 2014 to July 2015 and analyzed for physicochemical parameters such as water temperature; pH; electrical conductivity (EC); dissolved oxygen (DO); total dissolved solids (TDS); major cations, e.g., Na⁺, K⁺, Mg²⁺, Ca²⁺; and major anions, e.g., F^?, Cl^?, \( {\mathrm{SO}}_4^{2-} \), \( {\mathrm{NO}}_3^{-} \), \( {\mathrm{PO}}_4^{2-} \), and alkalinity. The water quality index (WQI) being a valuable and unique rating scale to depict the overall water quality status in a single term has been employed to determine the feasibility of using the river water as a source for various activities. The parameters with higher impact on water quality were selected to derive WQI of each selected sampling station. Results showed significant deterioration in quality of water at some of the sampling stations. WQI of Brahmani River ranged from 37.87 to 62.36 which falls in the range of good to poor quality of water. Pearson’s correlation matrix was derived to find possible interrelations among water quality parameters.     

煤层气井产出水中氯离子变化规律回归分析模型

基于沁水盆地枣园区块大量煤层气井产出水分析化验数据,通过数学统计方法,研究总结了产出水中氯离子浓度与排采时间的变化规律。指出排采初期氯离子对环境影响最大,远超出国家Ⅱ类饮用水标准;同时利用SPSS软件进行了非线性回归分析,建立了氯离子浓度变化数学模型。通过模型可以合理预测氯离子浓度达到国家标准所需要的时间,为煤层气井产出水水质变化监测及地面水质处理提供了技术支持。     

贵阳市乌当区地热田成因及水质特征分析

贵州省地热资源丰富,贵阳市乌当区地热田属于该省隐伏型地热资源之一。本文结合钻探资料和区域地质资料,分析了地热田的埋藏条件、补径排条件、地温场等特征。该地热田主要热储层为中寒武统—奥陶系灰岩及白云岩,热水径流特征和地温场特征受乌当断裂、乌当背斜等一系列构造控制。测温曲线显示,保利2号钻孔地温梯度约为2.59℃/100 m,3号钻孔约为2.25℃/100 m。本区无附加型热源,深循环为该区热水的主要形成原因。地下热水的化学类型为SO4-Ca.Mg型,氟和硅的含量较高,具有一定的医疗价值。为实现地热资源可持续开发,今后应在本地区开展地热回灌技术的相关研究。     

Comparison of different models of water quality index in the assessment of surface water quality

The method of water quality index is widely used in evaluation of the surface water quality because of its capability to summarize a number of water quality parameters into one numeric value, along with defined scale of water quality range. The current investigation includes application of modified model for calculating water quality index values, generated using experimental data and literary models. Software was created using modular design. Fourteen physical, chemical and biological parameters representing water quality state along with the assigned weights were elected. Comparison between models generated based on Serbian and American models of water quality index was done. Selected parameters differ mutually in number of parameters used in calculation of index, as well as in values of the weighting factors. In order to enable an efficient water quality analysis and to reconcile the requirements of both Serbian and American model, two software solutions were generated and processed on the example of the water quality of the Danube River in Serbia. Danube water quality was assessed at seventeen measuring locations along the river flow. Index values obtained from the two generated software applications were compared with the results of the official Serbian online calculator. Water quality determined using new generated models shows stricter approach and one class lower water quality compared to the existing Serbian model. Therefore, modular and open-generated simulation software is of great significance for the comparison and testing of different water quality models, not just those two shown in this study.     

Effect of Zob-Ahan effluent water on ground water quality

Even though, application of industrial effluent water may alleviate the irrigation water shortage in dry regions such as Iran, but uncontrolled discharge into environment and agricultural land may cause unirreversible harmful damage to environments. Therefore, application of industrial effluent water should consider the environmental consequences such as soil, ground water and food contamination. In this study the effect application of Zob-Ahan effluent water for irrigation water and seepage from evaporation ponds on the chemical composition of surrounding well-water were seasonally investigated from April to March in 2003. The water from the selected well was sampled and analyzed for pH, EC, nitrate, hardness, TSS, TDS, and cations including Na^＋, Ca^2＋, Mg^2＋, anions including SO4^2-, CO3^2-, HCO3^-, Cl^-, and heavy metals including Pb, Cd, Cu, Fe, Cr, Mn, Co, and Zn . The results were compared with standard levels for ground water resources, irrigation water, and direct human consumption. The result shows that the ground water in the vicinity of effluent water application fields and evaporation ponds is contaminated and the concentrations of NO3, Cl and Fe are higher than standard permissible levels for ground water resources. For irrigation or discharge into absorption well the heavy metal concentrations of Cu, Cr, Co, and Fe are limiting.     

基于RS与LS-SVR的储层参数预测

该文提出结合粗糙集（RS）和最小二乘支持向量回归（LS-SVR）的方法。该方法利用RS对原始数据进行约简，更好地减少了支持向量的维数；同时采用LS-SVR解决了常规SVM计算速度幔、抗噪能力差的缺点。实例证明该方法应用在复杂地层储层参数预测中具有优越性。     

Effect of source water quality on arsenic (V) removal from drinking water by coagulation/microfiltration

The effect of the source water quality on As(V) removal by coagulation/microfiltration (C/MF) was investigated systematically using a jar test and a lab-scale test; the results of the lab-scale test coincide with those of the jar test. It showed that the increase of dissolved organic carbon (DOC), HPO₄ ²⁻ and HCO₃ ⁻ concentrations would moderately decrease As(V) removal, and the residual As(V) concentration in treated water is no more than 10 μg L⁻¹ when the concentration of DOC, HPO₄ ²⁻ and HCO₃ ⁻ in raw water is not beyond 9.22 mg L⁻¹, 1.6 mg L⁻¹ and 300 mg L⁻¹, respectively. Other co-ions, such as Cl⁻, NO₃ ⁻, F⁻, SO₄ ²⁻, and counter-ions including K⁺, Ca²⁺ and Mg²⁺, have little effect on As(V) removal. Both results of the jar test and the lab-scale test demonstrate that Fe³⁺ dose of 6 mg L⁻¹ is enough to eliminate the influence of HCO₃ ⁻ whose concentration changes from 350 mg L⁻¹ to 450 mg L⁻¹. In the lab-scale test, As(V) removal ranged from 92.8 to 98.2% at Fe³⁺ dose of 4 mg L⁻¹ and 5 mg L⁻¹ when As(V) concentration in raw water was about 100 μg L⁻¹. The results obtained in this study suggest that As(V) removal by C/MF process is sensitive to the quality of raw water, and a jar test needs to be done before C/MF process is used for arsenic removal from drinking water.     

雨水花园集中入渗对地下水水位与水质的影响

作为低影响开发（Low Impact Developmet, LID）措施之一,城市雨水花园集中入渗雨水径流可增加对城区地下水的补给。根据一现场监测试验,研究了长期（监测期3年）及短期（降雨3天内）雨水花园入渗点及对照点地下水位与水质的变化,分析了集中入渗的效果和影响范围。结果表明:① 雨水花园对入渗区地下水位产生了显著影响（α=0.01）;② 氨氮（NH₄-N）在3年及雨后3日的观测值均显著小于对照值;总氮（TN）指标在短期增加显著,长期均值增加不显著。③ 硝态氮（NO₃-N）浓度在降雨后有所升高,但不显著,几个观测点浓度有增有减;总磷（TP）浓度的短期值和长期均值有增有减。对于类似研究区地下水位在2~3 m的情况,集中入渗雨水径流可有效补给地下水,对氮素影响明显,对磷影响有限。